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Summary

Strategy matters because existence is finite. A person or an organization has one existence and one pool of time and resources, and what it becomes follows from what it chooses to pursue and how; whole economies are built from what those choices produce. The choosing is strategy, and it is not optional: the choices are being made either way, with attention or without it. It matters more now than it ever has, because capable AI tools are taking on a growing share of the planning and the doing, and the one part that cannot be handed to them is the choosing itself, so more of every outcome depends on it. Knowledge of it is at its most powerful in generative form: a logic that says why things happen, and therefore holds in situations no earlier case covers. And it is most powerful of all as a working model. What an orrery is to the solar system, OFMOS® is to purposeful behavior and the business it produces: the whole system in view at once, positions seen, moves tried, and consequences watched before anything is committed.

The rise of capable AI tools deserves a precise statement. Systems now plan, carry out sequences of actions, and complete transactions with little supervision, and a growing share of purposeful activity runs through them. None of them owns a goal. Whatever such a system pursues was delegated to it, and the returns register in a hierarchy that belongs to a person or an organization, never in one of the system's own. As the tools grow more capable, knowing what exactly remains the person's stops being a philosophical question and becomes an operating one.

The stakes and the delegation question call for the same thing: the generative logic of strategic agency, strategic thinking by its everyday name, treated not as a professional specialty but as a capability every person already has. The universality is derived, not asserted. In every person's tree of needs, each higher need supplies the logic by which the needs under it are set, ordered, and revised, and putting that logic to deliberate use in the pursuit of one's successful existence is what strategizing is. Every individual is therefore a strategist, whether or not the word is ever used. Knowledge with that reach cannot be a catalogue, because no catalogue of situations covers every situation a life or a market produces. A generative logic can: it holds one small set of causes and produces the explanation each new situation needs, including situations no framework was drawn from. The theories that follow supply it: together they form a general theory of purposeful behavior, from the individual decision to the economy as a whole.

Strategic agency also has a definite location. The One-Need Theory of Behavior places it in a single structure, the Individual Hierarchical Tree of Needs, built and rebuilt under one overarching need, the individual's own reading of what a successful existence would be. Every node of the structure is one thing under three names, a need, a goal, and a decision, and the structure does two jobs: it orders everything the individual pursues, and it is the model of the world with which the individual predicts. The theory is, for that reason, also a model of reasoning, practical and theoretical. Deciding what to pursue and how to pursue it runs on the tree itself, candidate goals generated under the guidance of the levels above, one selected by decision. That settles the delegation question. Tools, AI included, can take part in constructing the structure; the top cannot be handed to anything external, because nothing external can own it.

The One-Need Theory of Behavior earns its claims by derivation. It starts below psychology, with the properties of a self-maintaining thing: finite duration, limited resources, and activity that produces the conditions of its own continuation. Three drives follow for anything alive, toward perceiving the environment and one's own state, toward making the most of what is available, and toward remembering and responding to change. An agent is such a thing that also deliberates, and deliberation under finite resources forces a single top: a single overarching need, because there is one existence to continue, one pool to draw on, and no way to weigh unlike pursuits without a common measure. Beneath that need the agent works in two directions at once, dividing broad pursuits into narrower ones until something available can address them, while new needs form and gather upward around what experience and the environment offer.

Two consequences of the tree's construction carry the rest. First, because the balance of dividing and gathering shifts gradually and never in steps, everything the agent pursues stands in one continuous ordering, the Individual Continuum of Needs, and a need's perceived value is its position in that ordering: the higher a need stands, the more of the whole pursuit passes through it. Second, the construction is not confined to persons. A collective qualifies as an agent wherever it holds procedures for forming, revising, and acting on attitudes of its own, and there the same process builds the Collective Hierarchical Tree of Needs. The One-Need Theory thereby supplies what the needs and motivation literatures have left open: a goal hierarchy and a world model in one object, under one top, with decision built into every node.

The Ofmos Theory of Business takes over where behavior leaves a record. A single agent's needs are private; transactions are not, and a transaction happens only where a need is being addressed. Read across many agents, transactions yield the Collective Continuum of Needs, the band of the ordering where needs meet commercial offerings, with perceived value as one dimension of the reading. The other dimension is functional complexity, what producing an offering demands in capabilities and operational effort, and the two dimensions together are the Ofmos Map, the one reference system the theories, the framework, and the games all draw on. On the Map, transactions cluster. Each cluster marks an abstract business space, constituted jointly by an offering, by customers addressing the same need through it in the same manner, and by a stream of returns accumulating over time. Held by one vendor, the space is an ofmos, an offering-market cosmos, and the unit of analysis the strategy field has lacked. Taken across all vendors, it is a tofmos, drawn finer than an industry and bounded by behavior rather than convention.

Two dynamics act on every abstract business space. The commoditization force is emergent: customers learn an offering, what one customer learns passes on, newcomers begin from it, and the offering's perceived value falls with nobody deciding that it should. Innovation is the opposite kind of movement, deliberate, conducted by an agent, and paid for, and it is the only answer to the force. From the two, the larger objects follow without new assumptions: a company is the set of ofmos it operates, manageable only the way a portfolio is managed, and an economy is the portfolio of the tofmos within it. The claim, at every level, is presence rather than completeness, and the patterns the strategy literature has long documented arrive with their causes attached.

The Five Business Big Pictures is the framework built on this foundation, and its form is chosen deliberately, because the framework form is the one practitioners actually use. Its difference from the field's other frameworks lies in origin: nothing in it is a freestanding observed pattern and nothing is imported; it is generated from the two theories, which is what lets it keep working in situations it was never drawn from. It spans five levels of strategic agency, Individual, Augmenting Technology, Product, Company, and Economy, the first two outside any marketplace, and at each level it casts the strategist as the CEO of one entity, a metaphor for agency, not a job title. What it adds to a universal capability is attention and explicitness: the one logic everyone already runs, named and ordered into levels where it can be examined and improved.

The OFMOS® Games and Simulations exist because the theories are complete enough to be played. Their core mechanics express the theories structurally. The board is the Ofmos Map at playable resolution, each product piece is one ofmos, an offering with its market, and every available action renders something the theories define, so the correspondence between game and theory can be checked move by move. A theory that left its objects or its dynamics vague could not be rendered this way at all. The right comparison is the orrery, which models the solar system not by calculating it but by preserving the structural relationships among its motions at a size a hand can turn. Playing the games is strategic thinking exercised on the theories' own terms, with the dynamics in view on the table. What the play adds is kept: strategy capability grows the way a flywheel gathers speed, and the games supply the fastest turns.

The whole account is one chain, built to be tested: a defect anywhere in it would show in everything that rests on it. The One-Need Theory describes how an agent's behavior is organized, starting from what a self-maintaining thing is. The Ofmos Theory of Business describes what that behavior produces, up to the economy as a whole. The starting points are observations rather than axioms, so every derived link stands exposed to evidence. The customer whose learning erodes an offering, the vendor whose deliberate action resists the erosion, and the strategist reading both from the record are the same kind of agent, each pursuing successful existence through a hierarchy of its own. The theories describe the strategist who uses them, and an account of purposeful behavior that exempted its own user would contradict itself.

Table of Contents

1. Overview

1.1. Purposeful behavior and its economic consequences

1.2. The thermodynamic analogy

1.3. The bridge across scientific fields

1.4. Where business and strategy come from

1.4.1. Business emerges naturally in societies of intelligent agents

1.4.2. The same conditions would produce business among artificial agents

1.4.3. Every individual is a strategist: strategy is existential

1.5. From theories to simulations

1.5.1. Forms of explanation

1.5.2. Frameworks generated from theory

1.5.3. Games and simulations

2. The One-Need Theory of Behavior

2.1. From the living thing to the Individual Hierarchical Tree of Needs

2.2. The agent

2.3. How the tree is set and why it takes the shape it does

2.3.1. Conflicting goals and the single overarching need

2.3.2. The node as need, goal, and decision

2.3.3. The blueprint a higher-level need carries

2.3.4. Prediction and the tree's time dimension

2.3.5. Blurriness as a functional property

2.4. The tree as the individual’s model of the world and structure of their reasoning

2.4.1. The tree as mental model and world model

2.4.2. The single model in the brain

2.4.3. A single need at the top

2.4.4. The tree compared with active inference

2.4.5. The tree compared with a directed acyclic graph

2.4.6. Practical and theoretical reasoning on one structure

2.5. The retrospective prediction

2.6. Relation to major theories of motivation, cognition, and behavior

2.7. Cognitive tools and the hierarchy

2.7.1. External participation in the hierarchy's construction

2.7.2. The ownership constraint

2.7.3. Augmented vs. co-constructed judgment

2.8. The collective agent

2.9. Perceived value and the downward push

2.10. The Individual Continuum of Needs

2.11. The Overarching Need

2.11.1. The claim

2.11.2. The arguments

2.11.3. The consequence

2.12. The One-Need Theory's utility and boundary conditions

3. The Ofmos Theory of Business

3.1. The Collective Tree of Needs and the Collective Continuum of Needs

3.2. Perceived value and functional complexity

3.2.1. Functional complexity as the second dimension

3.2.2. The complexity dimension in the literature

3.3. The Ofmos Map as analytical tool

3.4. Ofmos and tofmos

3.4.1. From transaction clusters to ofmos and tofmos

3.4.2. The three constitutive conditions

3.4.3. The ofmos and the gap in the strategy vocabulary

3.5. Offering, solution, and product

3.6. The product-need fit and the experienced product

3.7. The commoditization force

3.7.1. The commoditization force as an emergent property

3.7.2. Epistemic and procedural learning

3.7.3. The rate and reach of the force

3.8. Innovation

3.8.1. Innovation as deliberate strategic action

3.8.2. The three forms of innovation

3.8.3. The deliberate reduction of perceived value

3.8.4. Product innovation through engineering, adoption, and discovery

3.9. Apparent exceptions to commoditization

3.9.1. What would count as an exception

3.9.2. Network effects

3.9.3. Luxury offerings

3.9.4. Increasing returns

3.10. The ofmos lifecycle

3.11. Structural dynamics

3.11.1. The commoditization force and the aggregate innovation dynamic

3.11.2. Reading the system from its transactions

3.12. The company as a system of ofmos

3.13. The economy as a portfolio of tofmos

3.13.1. The portfolio and its default direction

3.13.2. The bunching and debunching of the economy

3.14. The Ofmos Theory's scope

4. Testing the Theories

4.1. The chain of derivation

4.2. Six propositions

4.3. Separation from rival architectures

4.4. The theories in their own domains

4.5. Open questions and stage of development

5. How the Theories Power the Five Business Big Pictures Strategy Framework

5.1. The framework as a model of strategic agency

5.2. The five levels of strategic agency

5.3. Strategizing at the Individual Level

5.4. Strategizing at the Augmenting Technology Level

5.5. Strategizing at the Product Level

5.6. Strategizing at the Company Level

5.7. Strategizing at the Economy Level

6. How the Theories Power the Core Mechanics of the OFMOS® Games and Simulations

6.1. The structural fidelity of the OFMOS® game mechanics

6.2. The six CEO actions

6.3. The return model

7. The Theories Applied to the Strategist

8. How Strategy Capability Grows

9. The Theories and the Scientific Fields They Bridge

10. Further Reading and Experiences

11. References

1. Overview

1.1. Purposeful behavior and its economic consequences

The One-Need Theory of Behavior and the Ofmos Theory of Business together form a general theory of purposeful behavior: a single first-principles account of that behavior and its economic consequences, from the individual decision to the economy as a whole. One process generates the phenomena both theories describe. The One-Need Theory explains how an agent's behavior is organized, with the human individual as its paradigm case, and the Ofmos Theory of Business explains what that behavior produces in aggregate. They remain two theories, each with its own domain and its own testable claims, and they meet at one exact point. The One-Need Theory derives the decision, and the Ofmos Theory of Business begins with what decisions produce, the transactions they generate. Everything the second theory reads is made of what the first derives, so testing either one tests the single chain that runs through both.

Fundamentally, a living thing is a self-maintaining thing: one that holds itself together for a finite time, whose activity produces the conditions of its own persistence, and whose resources are limited. All living things are driven to perceive their environment and their own state, to make the most of a given amount of resources, and to remember and respond to change. The three drives follow from what a self-maintaining thing is, and purposeful behavior, economic behavior included, is grounded in them. These properties are the first principles from which both theories are built. Everything that follows, from the structure of a single individual's goals to the dynamics of companies and whole markets, is derived from them and from nothing else.

In human beings, the three drives produce a specific pattern. Every pursuit draws on one finite pool of resources, so behavior is organized by a single desired success state, the individual's own interpretation of a successful existence, continuously revised as they learn. That is the single overarching need. Too complex to be addressed as a whole, it is broken down into ever more specific needs, while needs also form and combine upward around what experience and available solutions make possible, the two directions operating at once. Every need in the resulting hierarchy is at the same time a goal and a decision, three names for one thing. A need is addressed when it is matched with a solution: in the marketplace an offering, and below the reach of any offering, the individual's own action. The same logic organizes any deliberative agent pursuing successful existence, the collective agent included.

Because they begin from how living things behave and follow the consequences upward, the theories draw on foundational findings from fields that rarely share a single framework: biology and evolutionary theory, neuroscience, cognitive science, psychology and motivation theory, philosophy of mind and action, artificial intelligence and control theory, complexity science, economics, and strategy and management. The connection is architectural rather than eclectic. The theories do not borrow a result here and a result there for support. Each of these fields has documented its findings separately, and the theories supply the shared logic those findings follow from. Where a finding is used, it is cited at the point in the derivation that uses it, so every joint in the structure can be checked where it is made.

The same process, repeated across many people and aggregated over time, produces economic reality at each successive level of organization. The transactions that decisions generate cluster, and the clusters mark abstract business spaces: persistent units of shared need-addressing behavior. For a single vendor, the unit is the ofmos (offering-market cosmos): one offering, the customers who address the same need with it in the same way, and the profit stream their transactions generate over time. A company is a system of ofmos. Across all vendors, the same kind of unit is the tofmos (total offering-market cosmos), usually finer-grained and more sharply bounded than an industry, and an economy is the portfolio of its tofmos. Different phenomena appear at each level, and one apparatus reads them all: the units, and the commoditization force that erodes the perceived value of every one of those units as its customers' knowledge accumulates.

These are first-principles theories, built from the ground up from observations about how living things behave. The term is an old one, in use since Aristotle, and it says what it means: a theory's first principles are the starting points from which everything else in it is derived. The first in the name is relational rather than absolute. The principles come first in the theory's own order of derivation, with nothing in the theory prior to them, not first in nature: the living thing these theories begin from is itself a product of evolution. And where the classical first principles were held to be self-evident, the first principles here are empirical, observations about living things, and that difference is what makes the theories testable.

A first-principles theory states its principles and derives everything else from them, importing nothing the derivation depends on along the way. The testing standard follows from the construction. Because the principles are empirical and the derivations explicit, the theory generates propositions the world can contradict, and the principles are tested through the propositions they generate. Thermodynamics is a theory of this kind, deriving, from a small set of empirical laws, the behavior of any system where energy transforms. Natural selection is another, deriving the history of life from variation, inheritance, and differential survival. The authority such a theory carries is of a particular kind: the coherence of its foundations and the reach of its explanatory logic. And it answers to two tests any reader can apply: whether the reasoning holds, and whether the world contradicts what it predicts.

1.2. The thermodynamic analogy

The closest analogy the theories have is thermodynamics. The second law of thermodynamics does not describe what any particular machine does. It states a direction: left to itself, an isolated physical system runs down, its concentrations of energy evening out, and the lost concentration never rebuilds on its own. Rebuilding it takes work supplied from outside, and the rebuilt state lasts only as long as the work keeps arriving. The One-Need Theory of Behavior and the Ofmos Theory of Business make a claim of the same shape about purposeful behavior. Wherever an offering has customers, their learning accumulates, and in a stable environment, absent innovation, the erosion of the offering's perceived value does not stop. That erosion is the commoditization force. Against it stands one deliberate counteraction, innovation, and the counteracted state lasts only as long as the effort keeps being supplied.

For the direction, physics supplies the nearest existing vocabulary: entropy, whose application to economic processes was pioneered by Georgescu-Roegen (Georgescu-Roegen, 1971). The borrowing is structural rather than mathematical. The theories do not claim that the dynamics of companies and economies reduce to the equations of statistical mechanics or information theory. The claim is that the kind of directional property those equations describe arises in systems of purposeful behavior as well, and for a reason of the same shape. Many bounded events, aggregated across a system, produce a direction that belongs to the system rather than to any one of them. What the theories add to that line is the grounding. The direction is derived from the behavior of living things, not imported from the equations. An imported direction would be an assumption, while a derived one is open to contradiction on the theories' own evidence, the recorded transactions.

Entropy has two framings in physics, and they describe one thing. In the thermodynamic framing, entropy measures how spread out a system's energy is across its possible arrangements. Concentrated energy can still drive change, spread-out energy cannot, and an isolated system moves from the first state toward the second. In the informational framing, entropy measures how spread out a probability distribution is across its possible outcomes: a low-entropy distribution is concentrated and predictable, a high-entropy one is spread out and uncertain (Shannon, 1948). The two framings meet in the modern reading of the second law, on which the thermodynamic quantity is the informational one applied to a system's microscopic states (Jaynes, 1957). What the theories take from the framings is the direction, from concentration to spread, and the cost of reversing it.

In the theories, the framings correspond to differences, not amounts. In physics, work is drawn from differences: change runs from where energy is concentrated to where it is not, and as the difference evens out, the capacity goes with it. In the marketplace, returns are drawn from two such differences. One stands between what the offering carries and what its customers have absorbed. The other stands between what the vendor can produce and what other vendors can match. Both even out. The first evens out as customers' knowledge accumulates and spreads socially among them: that is the commoditization force, eroding the offering's perceived value. The second evens out through entry: more vendors produce what is proven, and what the transactions carry is competed away. Innovation rebuilds a difference the evening-out has consumed. A young company holds a few steep differences. Without deliberate counteraction, a mature one holds mostly evened-out ones.

The directional claim runs at three scales, and at each scale it is the same process that is observed, not a new phenomenon. At the scale of a single ofmos (offering-market cosmos), the abstract business space one vendor's offering forms with its market, the process is commoditization: the customers' accumulating knowledge erodes the offering's perceived value. At the scale of a company, the same erosion runs in every business space the company holds at once, so an unadjusted portfolio has its center of gravity drifting toward lower perceived value. At the scale of an economy, entering established business spaces demands less of a vendor than creating new ones at higher perceived value and higher functional complexity. Without deliberate creation, the economy's holdings therefore concentrate where both run low. The three behaviors come from one generating process: living things pursuing successful existence where knowledge accumulates.

The analogy is used within stated limits. What the theories borrow from thermodynamics is the shape: a direction that asserts itself, and a counteraction that must be deliberate, paid for, and ongoing. They borrow no equations and no quantities. A business space is not a physical system, and nothing in the apparatus depends on the physics. The dynamics themselves do not change from one scale to the next. What changes is how broadly the pattern of transactions is read. The counteraction is not imported either: strategizing is the hierarchy's own logic exercised deliberately, so the force and the response to it issue from the same first principles. And both sides of the shape are read the same way: the erosion and the innovation that answers it show in the pattern of transactions over time.

1.3. The bridge across scientific fields

Taken field by field, the bridge is concrete. Biology and evolutionary theory provide the generating logic itself: the three drives that evolution has produced in all living things, from which the hierarchy and all its consequences follow. Neuroscience studies the substrate in which the hierarchy is held and reorganized over time. Cognitive science studies the mechanisms of hierarchical prediction and problem decomposition that the hierarchy's higher levels perform. Psychology and motivation theory study the motivation and self-regulation structures that the hierarchy produces. Philosophy of mind and action studies the boundaries of the thinking system, the nature of the commitments (decisions) that the disaggregation process generates at its terminal nodes, and the reasoning, practical and theoretical, that runs on the hierarchy. Artificial intelligence and control theory study the conditions a regulating system must meet and the tools that now take part in the hierarchy's construction. Complexity science provides the architectural principles (hierarchical modularity, emergence, observer-identified levels) that explain why the generating logic produces different phenomena at each level. Economics studies the market dynamics that emerge when many individuals' disaggregation processes reach the marketplace simultaneously. Strategy and management study the vendor-side responses to those dynamics.

Each field contributes foundational insights that the theories absorb and extend; the theories contribute the generating architecture that connects them. This bridging role is not a side effect of the theories' breadth. A theory that begins at the drives of living things and follows the consequences through decisions, products, companies, and economies necessarily crosses the boundaries between fields that were drawn around different levels of the same system.

1.4. Where business and strategy come from

1.4.1. Business emerges naturally in societies of intelligent agents

Business can seem like a world apart: a modern practice with rules of its own, run by specialists, standing at a distance from ordinary life. That impression mistakes the institutions for the phenomenon. Institutions are designed, and they differ from era to era and from place to place. The activity they organize is not designed at all. Business emerges naturally wherever individuals pursue successful existence together: no one has to invent it or decree it, and it forms again wherever those conditions hold. The claim matters because it sets where the theories apply. If business forms on its own, out of what purposeful behavior is, then explaining business is part of explaining behavior, and the explanation can be built from first principles rather than assembled from business practice.

The theories reach business because business is not an invention apart from purposeful behavior. Its institutional forms, the firm, the contract, the stock exchange, are cultural. The phenomenon beneath them is structural. A pursuit short enough is closed by direct action: the need is addressed and the return arrives. A longer pursuit brings in tools, and a still longer one brings in other people. Individuals pursuing successful existence develop needs that exceed what they can address alone, and addressing such a need through another party's offering, when that costs less than building the capability oneself (Coase, 1937), produces a transaction. The lengthening works from the other side as well: a pursuit that must be resupplied again and again is sustained by addressing others' needs in return. Transactions that recur around shared needs settle into persistent patterns, and those patterns are what the word business names.

1.4.2. The same conditions would produce business among artificial agents

Nothing in that chain depends on the agents being human. What it requires is agents: things that pursue a successful existence with finite resources, develop needs beyond what they can address alone, and exchange with one another to address them. Human beings are where those conditions have been observed, and the theories are stated for the conditions, not for the species. If artificial systems ever hold goals of their own and pursue them under real constraints, alongside many other agents, human and artificial, the same conditions return and the same consequence follows. Needs outgrow single agents, exchange recurs, and the recurring exchanges settle into persistent patterns. Business would emerge among such systems as it emerged among people: not copied from human practice, and not taught, but produced again by the conditions that produced it the first time.

The AI agents already in use raise a fair question: they plan, act in sequences, and complete transactions on their own, so are they that case? They are not, for a reason the theories make exact. Every goal such a system pursues is delegated: it belongs to a human pursuit, and the returns land in a person's or an organization's hierarchy, never in one of the system's own. The theories already describe these systems, as tools taking part in pursuits they do not own. And the line they would have to cross is not capability. A system does not become an agent by planning further ahead or acting more ably. It becomes one by holding an overarching need of its own, with its own existence at stake. Until then, however much of the activity runs through them, the business their transactions form is human business, read the usual way.

The claim is a condition, not a forecast. Whether artificial systems will ever hold goals of their own is an open question, and the theories do not answer it. The mark of that case, if it ever comes, is the one just given: goals held in no hierarchy but the system's own. What the claim settles is how the whole account should be read. An explanation of business that rested on human culture would expire the moment the participants changed. An explanation built from the conditions themselves does not, and it does not need rewriting as the tools improve. It covers societies of people, societies of artificial agents if such agents come, and the mixed societies in between, because the conditions that generate business are the same in each.

1.4.3. Every individual is a strategist: strategy is existential

Strategy can seem more distant still, the specialty of executives and their advisors. It is embedded just as deeply. In the tree of needs, every higher-level need carries the organizing logic for the needs beneath it, the blueprint by which they are set and revised, and the higher the need, the more comprehensive the logic. A student who has settled on a degree does not choose courses at random: the degree decides which courses come up at all, which order makes sense, and when one course is dropped for a better one. The degree's logic is doing that organizing, whether or not the student names it. Exercising that logic deliberately, in the pursuit of successful existence, is strategizing. It is an existential capability, not a business skill, and no marketplace is required for it. That makes every individual a strategist, aware of it or not.

Together, the two claims give the theories their domain. Because business emerges naturally, one account can run from a person's smallest recurring pursuit to the economy as a whole, with no border where ordinary purposeful behavior stops and business begins. Because strategizing is universal, the account is not written for specialists: whoever takes it up is reading about an activity they already perform. An investor weighing a portfolio, a teacher organizing a course, and a parent running a household are exercising the same capability on different material. What differs is how explicitly the capability is exercised and how far its results are read. That is why a single body of knowledge can cover all of it, and why its explanations keep holding from the smallest pursuit to the largest.

1.5. From theories to simulations

1.5.1. Forms of explanation

A body of knowledge that covers all purposeful behavior needs means that carry it into use, and those means come in more forms than theory alone. The forms of explanation run along an ordering, from lists of categories, through typologies that organize the categories comprehensively, through accounts of the relationships among factors, to fully explanatory accounts that interweave them (Mintzberg, 2005). The common names attach to points along that ordering. A list names categories and nothing more. A typology arranges the categories so that the arrangement itself is informative. A framework assembles concepts into a structure for reading a situation, often with steps to follow, and it organizes without having to say why its arrangement holds. A model states relationships among factors, how a change in one moves the others, without having to say why the relationships hold. A theory explains: what causes what, why, and under which circumstances.

The forms also differ in what they ask of the user and what they return, and the differences explain who reaches for which. A list costs almost nothing to use and explains the least. A framework can be applied the day it is learned: it organizes the situation in front of the practitioner and often says what to do next, which is why practitioners reach for frameworks first. A model asks more, because the user must know the factors and the relationships among them, and it returns the ability to anticipate how the factors move together. A theory asks the most, because it must be understood before it can be used, and it returns the most, an explanation that keeps holding as circumstances change. Every form is useful. None replaces the others. They do different jobs.

The strategy field's own means have concentrated at the framework end of this ordering, and the frameworks have done their organizing job well. The Five Forces (Porter, 1980) structures the analysis of an industry's competitive pressures. The BCG matrix (Henderson, 1970) sorts a portfolio by market share and market growth. The value chain (Porter, 1985) maps a firm's activities, and dynamic capabilities (Teece, Pisano & Shuen, 1997) name an organization's capacity to adapt. Jobs-to-be-done (Christensen, Hall, Dillon & Duncan, 2016) locates the need behind a purchase, and the product life cycle (Levitt, 1965) traces the arc of a product's sales over time. What the field has not produced is the layer beneath them. Where the frameworks carry explanation, it is imported, industrial organization economics under the Five Forces, evolutionary economics under dynamic capabilities, and the imports were never joined into one foundation.

The missing layer matters for practice, not only for scholarship, and the argument has been made to managers (Christensen & Raynor, 2003). Every manager who commits to a plan is already relying on a theory, a statement of what causes what and why. The only choice is whether that theory is examined or unexamined. A good theory also states the circumstances under which it holds, which tells the manager when a prescription applies and when it does not. A unified, generative logic adds one more property. Rather than holding a separate explanation for each known situation, it generates explanations from one small set of causes, so it can produce an explanation for any situation within its scope, including situations no framework anticipated. A framework describes the conditions it was drawn from, and it is silent beyond them. A generative explanation still applies beyond them, because the causes are still operating.

1.5.2. Frameworks generated from theory

The missing layer and the case for it are the ground the Five Business Big Pictures stands on. It is a framework, and the choice of form is deliberate: the framework form is the one a practitioner can pick up and use. What separates it from the field's frameworks is its origin. It is not a collection of observed patterns, and it is not theory borrowed from a neighboring discipline and applied to strategy. It is generated from the One-Need Theory of Behavior and the Ofmos Theory of Business, which together give a unified account, built from first principles, of why the underlying dynamics of business occur. A framework with that origin joins the two ends of the ordering of explanatory forms: it describes and explains at once. Its patterns arrive with their causes attached, and because the causes run deeper than any one situation, the framework carries to situations it was never designed for.

The choice of form also decides what an individual keeps. What an individual retains of an account is not the account itself: remembering is reconstruction from what was retained (Bartlett, 1932). What accumulates across many encounters is the regularity running through them, not the encounters themselves (McClelland, McNaughton & O'Reilly, 1995). A catalogue loses most of itself to that reduction: a catalogue is nothing but its cases. A generative logic survives the reduction, because what the reduction keeps, one small set of causes and the way they combine, is the whole of the logic. The framework states that structure, and the games, developed in parallel on the same foundation, have the player exercise it. Supplying the subsuming structure ahead of the material it organizes tends to aid the learning and retention of what follows (Ausubel, 1960; Luiten, Ames & Ackerson, 1980). What the user keeps is the small set of causes, from which the account each new situation needs can be generated again.

The framework spans five levels of strategic agency: Individual, Augmenting Technology, Product, Company, and Economy. The first two involve no marketplace, because strategizing is not confined to business. At the Augmenting Technology Level the agent is still the person, and the AI is a tool taking part in the pursuit. Any theory of purposeful behavior owes a statement of where it holds, from the individual to the economy, and mainstream use calls that its scale. These theories carry that content under the word level: the five levels are what other accounts would call scales. Scale itself means the degree of granularity within a level, how coarsely or finely its activity is read. The theories' working term is resolution, and scale is its exact synonym. Either word, wherever it appears, carries this one meaning. Moving coarser or finer is a change of resolution. Moving among the five is a change of level.

The One-Need Theory supplies a structure the needs and motivation literatures leave open: a single hierarchy, organized by one overarching need, that is both the individual's goal structure and their model of the world. There, need, goal, and decision coincide at every node. The Ofmos Theory of Business supplies a unit of analysis strategy has lacked: the ofmos, defined by an offering, a set of customers sharing the same need-addressing behavior, and a stream of profit generated over time by the exchange. It adds the Ofmos Map, pairing perceived value on the demand side with functional complexity on the supply side. And it supplies the two mechanisms, the commoditization force and the aggregate innovation dynamic, which generate the patterns the strategy literature documents. Each level has a resolution at which its emergent unit of analysis and strategizing, and the dynamics acting on it, come into view.

One property of the ofmos shapes everything built on it. An ofmos is abstract. It cannot be seen the way a factory or a product can, and it shows itself only through its signatures: the transactions its customers and vendor generate, and the records those transactions leave. The question this raises is fair. How can something visible only through its signatures be observed, analyzed, and managed, and how can a strategist act on it? The theories answer in three steps. They state what the signatures are signatures of, so the records stop being noise and become readings. The Ofmos Map turns those readings into positions on perceived value and functional complexity. And strategizing acts on the conditions that generate the signatures, the offering, the customers' needs, and the exchange, and reads its results back from the signatures that follow. What cannot be seen directly can still be read, and managed.

1.5.3. Games and simulations

Every form in the ordering is taken in the same way: it is read. A body of knowledge can also be expressed as something that is run. A working model preserves the structural relationships its subject runs on, at a scale where they can be seen and operated, and what it returns, it returns through operation rather than reading. The orrery is the familiar case: a mechanical model of the solar system, it neither replicates nor calculates the cosmos, and instead reproduces the relationships that govern planetary motion at a size a hand can turn. Games and simulations are working models built to be played. The player operates the structure from inside, the consequences of an action arrive as returns in play, and a cycle that runs over years in the subject closes within a session. Not every body of knowledge can be expressed this way: a working model can be built only where the objects and the dynamics are stated exactly enough to be rendered as mechanics, so the existence of one is evidence about the knowledge behind it.

The OFMOS® family of games and simulations is that expression of the theories presented here. The board is the Ofmos Map at a playable resolution, each product piece is one ofmos, an offering with its market, and every action available in play renders something the theories define, so the correspondence between game and theory can be checked move by move. The family and the framework are parallel constructions: neither is derivative of the other, and either can be used without the other.

2. The One-Need Theory of Behavior

2.1. From the living thing to the Individual Hierarchical Tree of Needs

The One-Need Theory of Behavior begins with a foundational question: what is the nature of the thing doing the deciding? The answer is built from the biology, and it holds wherever purposeful behavior occurs — the individual decision and the economic transaction are the same structure, read at different resolutions.

A living thing is an entity that holds itself together for a finite time. Holding together is physical work: it takes energy and matter, drawn from the environment and from what the organism already holds, and it does not stop while the organism lives. The work is against entropy, the tendency of any physical system toward disorder; the maintenance of internal order against that tendency is a defining property of life (Schrödinger, 1944). What holds such a thing apart from its surroundings is a boundary, and the boundary is what makes it one (Kirchhoff et al., 2018).

That description also fits a star, which holds together for a finite time and consumes energy in doing so, and which is not inert: it changes, radiates, and eventually collapses. Order sustained by a flow of energy is not by itself life. The same physics produces convection cells, flames, and vortices, structures that hold their form far from equilibrium by dissipating energy and that are plainly not alive (Nicolis & Prigogine, 1977). What separates a living thing is that its activity produces the conditions of its own persistence, and its boundary is one of those conditions. The organism builds the boundary and repairs it, and the boundary holds only while that work continues. What the organism does is therefore what keeps the boundary there, and the boundary is what makes the organism one thing (Kirchhoff et al., 2018).

That activity draws on what is limited — what the organism can obtain from its surroundings, what it already holds, its own capacities, and the time it has — so what goes to one activity does not go to another. This is the self-maintaining thing the two theories are built on: one that maintains itself for a finite time, whose activity produces the conditions of its own persistence, and whose resources are limited.

A note on terminology: What the two theories are built on is a self-maintaining thing, not an agent or a unit. Agent is kept for the deliberative case: one that owns an overarching need and builds a hierarchy from it, narrower than what is meant here, since a self-maintaining thing need not deliberate. Unit is kept for the objects read from clusters of transactions later in the theory. Thing claims nothing beyond the properties already stated, which is what a foundation should do, and it keeps the term continuous with living thing — the paradigm case these properties are observed in, and the form evolution produced.

Such an entity does not face constant surroundings. What produces the conditions of its persistence is drawn from what is around it, and drawing on them alters them, so the conditions it finds are conditions its own activity has already begun to change. The work of holding together is done by dissipating energy, and what is dissipated passes into the surroundings (Schrödinger, 1944; Nicolis & Prigogine, 1977). Every living thing therefore modifies the environment it lives in, through the same activity that keeps it in existence (Lewontin, 1983; Jones, Lawton & Shachak, 1994; Odling-Smee, Laland & Feldman, 2003). The simplest case carries it whole. A single-celled organism that moves up a chemical gradient consumes what it finds there, so the gradient it is following is one its own feeding alters (Koshland, 1980).

The entity does not hold still either, and here nothing need move and nothing outside need change. The store is consumed and the time runs down, so what the entity requires at one moment is not what it requires at the next. The passing of time changes the entity whether or not it changes anything else. So neither the surroundings nor the entity's relation to them stays fixed. Change is not a further assumption added to the living thing. It follows from what the living thing is and does.

What that activity requires follows from the entity itself. Something that must produce the conditions of its own persistence, from limited resources, in surroundings that change, has to find those conditions, apportion those resources among them, and keep track of the change. The activity that keeps a living thing in existence takes the form of three fundamental drives, shared by all living things: to perceive the composition of their environment and their own state, to make the most of a given amount of resources within that environment, and to remember and respond to changes in their environment.

These drives describe the behavioral logic of every organism from bacteria to human beings, and the purposeful behavior the theories describe, economic behavior included, is grounded in them. Each drive does work in the derivation that the others cannot. Perception is what makes a need resolvable into parts, and so gives the hierarchy its structure. Making the most of what is available is what orders the hierarchy, and so gives the theories perceived value. Memory and response are what put the hierarchy in time, and so give the theories the dimension along which needs are created, addressed, and deleted, and along which knowledge accumulates.

Each of these drives is a documented biological phenomenon in its own right, established across the range of organisms the claim spans. The perception of the environment as a world structured by the organism's own needs has been described across animal life from the simplest forms upward (von Uexküll & Kriszat, 1934), and the senses that serve this drive are directed inward as well as outward, registering the organism's own state alongside its surroundings (Sherrington, 1906); the efficient exploitation of available resources is the behavioral form of the drive to make the most of them, and it has been modeled across foraging animals as the allocation of effort under constraint (MacArthur & Pianka, 1966); and the regulation of the internal state in response to environmental change is a general biological principle (Cannon, 1932), while the retention of a recent state for comparison against the present one, the memory the drive requires, is present in the simplest organisms (Macnab & Koshland, 1972). All three appear together even in a single-celled organism, which perceives a chemical gradient, moves to exploit it, and adjusts its course as conditions change (Koshland, 1980).

The three drives are not separate mechanisms that operate in turn. They act together and continuously, and none of them produces the others. The claim made for the set is not that it exhausts what a living thing does; it is that the three are enough for what is derived from them. Reproduction is the clearest omission, and it is not a fourth drive, because it is critical to the species and not to the individual (Miller, 1978). An organism that never reproduces still holds itself together for its finite time, and it does so through the same activity as one that reproduces. Where reproduction bears on an individual's behavior, it does so as a need the individual holds, disaggregated like any other, and not as a drive from which the hierarchy is built.

This formulation synthesizes principles that are well-established across disciplines: it connects to the principle of least action in physics, the principle of least effort in linguistics and behavioral science (Zipf, 1949), and the free energy principle in neuroscience, which proposes that all biological systems minimize surprise (prediction error) through action and perception (Friston, 2010) — all of which describe systems that are structured to operate efficiently given their constraints. The same pressure shows in the brain itself, where the placement of neural components tracks the cost of the connections among them (Cherniak, 1994; Bullmore & Sporns, 2012). The theory's characterization of behavior as goal-directed rather than merely reactive extends the tradition of purposive behaviorism (Tolman, 1932), which established that organisms act toward goals — a departure from the stimulus-response models that dominated early behavioral science.

The term purposeful behavior has a boundary of its own. Behavior is purposeful when it is directed at reaching a state and corrected along the way by its own results, the criterion under which purpose became an observable property of behavior rather than an inner report (Rosenblueth, Wiener & Bigelow, 1943). The three drives generate behavior of exactly this kind: finding the conditions of persistence, apportioning limited resources, and tracking change are all directed at states and all corrected by what comes back. The boundary excludes two things: what merely happens to an organism, which is not its behavior at all, and responses that run the same way regardless of their results, which are behavior without direction toward any state. Both enter the theories only as circumstances. Everything that follows is derived for behavior inside this boundary, and the generality claimed for the theories reaches exactly as far as that boundary.

In human beings, the three drives operating in an entity of this kind produce a specific and observable pattern. Every pursuit the individual takes up draws on the one finite set of resources their continuation depends on, so their behavior continuously works out what they pursue and what they leave aside. It is never worked out for good, since the resources, the circumstances, and the individual's own understanding all keep changing. What organizes their behavior is a single desired success state, by reference to which one pursuit counts for more than another: the individual's own interpretation of a successful existence.

That is the single overarching need. It is single because there is one individual, one continuation that depends on how they behave, and one set of resources drawn on. It is single also because every pursuit draws on the one finite set of resources, and making the most of a finite set means comparing what it is spent on; comparison across unlike pursuits needs a single measure, and separate orderings would leave that comparison undefined. The overarching need is that measure. The requirement is general. Any animal that must choose among incompatible activities needs one measure to choose by. In the individual the requirement takes a physical form, one body that can act in one direction at a time, so whatever the tree holds in play, the behavior it produces runs through one path (Sherrington, 1906; McFarland & Sibly, 1975). It is personal and subjective, because the interpretation is the individual's own and unique to them, and it is continuously evolving, because they revise it as they learn.

This need is never addressed directly as a whole, because it is too complex, too idealistic, and too probabilistic to have a direct solution. Instead, every individual disaggregates it — breaks it down into subordinate, clearer and less complex needs, which are further disaggregated, in a cascading process that continues until the resulting needs can be matched with existing offerings in the environment. Simultaneously, the process works in reverse: the availability of solutions in the environment triggers the creation of associated needs and goals at the lower levels, and these aggregate upward, reshaping the higher-level goals they serve.

The hierarchy is not static. It is continuously constructed and reconstructed through this bidirectional process of aggregation-disaggregation. Each level in the hierarchy is simultaneously a complete picture of the whole goal, made up of parts, and a specification or blueprint of the level below — each level is the same overarching need “successful existence” at a coarser or finer grain, and the logic of the subordinate level. This structure is called the Individual Hierarchical Tree of Needs. A need can lie beneath more than one superordinate need at the same time, because the state a need represents can be part of what several coarser needs contain. The name records what organizes the structure. One need stands at the top, every relation runs from a coarser need to a finer one, and the aggregation-disaggregation process runs along those relations in both directions.

Because the drives are derived from the entity, the needs they generate are grounded in the body. What the individual requires is set by what a bounded body with limited resources must do to continue, so the hierarchy is not an abstract structure laid over the individual but an expression of the body's own requirements. Physiological regulation is organized the same way: it is predictive rather than reactive, and it requires an organ that anticipates what will be needed and sets priorities among the demands (Sterling, 2012).

The claim that behavior is organized by a single overarching need is a structural claim about behavior, not a phenomenological claim about experience. The theory does not hold that the overarching need is felt as a need, held in attention, or pursued as an explicit aim. It holds that the need organizes the hierarchy through which the individual acts, and that every goal in the tree is an expression of it. Just as the need is never addressed directly as a whole, it need never be attended as a whole; its operation is read from the pattern of behavior over time, not from introspective report. The behavioral reading has independent grounding. Introspective reports on the causes of behavior are unreliable (Nisbett & Wilson, 1977), and the motives that organize behavior are systematically distinct from the goals individuals attribute to themselves (McClelland, Koestner & Weinberger, 1989). This distinguishes the One-Need Theory from need theories in which a need is a felt state that presses into awareness and motivates action directly.

Attention, accordingly, operates elsewhere in the structure. It is selective by its nature (James, 1890), and what occupies it at any given moment are the goals currently active at the actionable levels of the hierarchy, the needs specific enough to be matched with solutions and the decisions being made about them. The overarching need itself may enter attention rarely, in moments of deliberate reflection, or never at all; nothing in the theory requires that it ever should, and its operation does not depend on being attended. Because each level of the hierarchy is the same overarching need at a coarser or finer grain, the pursuit of any goal in the tree is the pursuit of the overarching need in disaggregated form. The individual attends to the goal at hand; the structure carries the rest.

2.2. The agent

The two theories are built on a self-maintaining thing: one that maintains itself for a finite time, whose activity produces the conditions of its own persistence, and whose resources are limited. Living things are the case in which those properties are observed, and the form evolution produced, and the three drives are theirs. Where such a thing also deliberates, it is an agent: one that owns an overarching need and builds a hierarchy from it. Each of these is a narrower case of the one before. Adding deliberation is how the narrower case is defined, not a finding about which living things deliberate. Every agent is therefore a self-maintaining thing, while a self-maintaining thing need not deliberate.

The individual is the paradigm agent: the case in which the hierarchy is derived, and the case every other is read against. One hazard attends the word. In everyday use, agent has recently narrowed to mean an AI system acting on a person's behalf. The theories keep the word's older and broader tradition, long standard in cognitive science (Wooldridge & Jennings, 1995), and within that tradition give it the single meaning already stated. Agent never presupposes AI. Where AI systems are meant, they are named as such.

The second case is the collective agent. What constitutes a collective's agency is its procedures for forming, revising, and acting on its attitudes. Organized collectives meeting that condition are agents in their own right, with goals and commitments not reducible to those of their members (List & Pettit, 2011). What exercises that agency is individuals, because a collective agent acts only through its people. Both are needed: procedures without people would act on nothing, and people without procedures would be a collective that is not an agent. A partnership, a committee, and a court qualify on the same terms, among others. Neither the size of a collective nor its form decides whether it qualifies. What varies with size is not whether a collective is an agent but how much of what it intends its people carry out.

Two things are deliberately not claimed. The three drives, to perceive the environment and one's own state, to make the most of available resources, and to remember and respond to change, belong to living things and are never attributed to a collective. The collective agent's standing rests on the properties of a self-maintaining thing and on its procedures, and nothing here holds that a company is alive. And an agent is never set beside what the behavior of agents produces. An aggregate of agents is not itself an agent, however broad it is and however regular its behavior, because nothing in it forms attitudes or owns a need of its own. What such an aggregate produces is real and can be read, but it is not the behavior of an agent.

Alongside what a thing is, a second question can be asked of it: what does a strategist work through? Whatever is worked through in that way is an instrument. An instrument holds no agency of its own. Strategizing is done by an individual, and where the instrument is a collective, the exercise runs through its procedures and the people who work them, concentrating in the strategist and held there. Some instruments are independently agents, meeting the definition already given: an individual is one, and so is a company. Others are not, since an offering owns no need, and neither does an aggregate of agents. A list of instruments is therefore not a list of agents, and arranging instruments by size or breadth does not arrange their agenthood, which the definition settles alone. Entity is used throughout in its ordinary sense and names none of these classes.

2.3. How the tree is set and why it takes the shape it does

2.3.1. Conflicting goals and the single overarching need

A natural objection is that people routinely pursue goals that conflict with each other: wanting to advance a career and spend more time with family, choosing immediate gratification over long-term benefit, holding simultaneous roles that generate contradictory demands. If the hierarchy is unified by a single overarching need, why does it produce incoherent behavior?

The answer is that the hierarchy is not a rational optimization — it is a living approximation under continuous construction. Different branches are disaggregated at different times, under different conditions, with different information available. A goal disaggregated under pressure on a Monday morning may conflict with a goal disaggregated during a reflective moment on a Sunday evening — and both trace back to the same overarching need “successful existence,” interpreted differently in different contexts. Conflicting goals are not evidence against a single overarching need. They are evidence that disaggregation is an ongoing, imperfect process, which is exactly what the theory describes. The hierarchy never reaches a fully coherent state, because the individual's environment, knowledge, and circumstances are always changing, and the disaggregation process is always responding.

Temporal discounting — the well-documented tendency to choose immediate gratification over long-term benefit (Ainslie, 2001) — is a specific case of this dynamic: a lower-level need, concrete and matched to an available solution right now, overrides the guidance from a higher-level need that is abstract, directional, and not yet matched to anything actionable. The theory does not require the hierarchy to be coherent. It requires it to be directional — and the direction is always toward the individual's evolving interpretation of a successful existence.

2.3.2. The node as need, goal, and decision

At each level of the Individual Hierarchical Tree of Needs, the disaggregation process generates multiple candidate goals beneath it — alternative paths through which the higher-level need could be addressed. The individual selects among these candidates based on their current understanding of the environment, the resources available, and the guidance provided by the hierarchy above. That selection is a decision. Every node in the tree is therefore simultaneously a goal (a desired success state being pursued) and a choice (a specific selection from among competing alternatives). The candidates that were not selected are not kept anywhere. What persists is the need and its logic, not the candidates, and what was generated once can be generated again, fitted to the circumstances of that moment, if the selected path fails, if the environment changes, or if new information arrives.

A note on terminology: “candidate goals” — and the shorter “candidates” — names this specific mechanic of the disaggregation process: the multiple alternatives generated at a node, one selected by a decision. The term carries that branching-and-selection structure with it. It is not a general term for whatever a person is considering. The framings, options, and possibilities an individual weighs become candidate goals only at the point where disaggregation has generated them as alternatives at a node.

This branching structure is what gives the hierarchy its adaptive quality: the individual can reconfigure rapidly at any level because the needs that generated the candidates are still standing. Reconfiguration is fresh generation, not retrieval. Nothing is held in storage. New candidates are generated when circumstances call for them, fitted to those circumstances rather than to the circumstances of an earlier selection. The hierarchy is not a rigid plan executed from top to bottom. It is a living structure in which every node is both a goal and a choice, and any path not taken can be generated again for as long as the need above it stands.

Need, goal, and decision are three descriptions of one entity, the node. The node is a need by construction, since the tree is a tree of needs; it is a goal, since it is a desired success state being pursued; and it is a decision, since it is the selection among the candidates generated for it, not a product left behind by a selection made elsewhere.

The identity is not stipulated but follows from how every node is constituted: by aggregation from below, as experience and transactions reshape it; by generation from above, as the disaggregation of the needs above it produces its candidates; and by the selection among those candidates. The overarching need is no exception: successful existence, in the individual's own interpretation, is constituted the same way — reshaped from below by experience, generated from above not by a superordinate need but by the organism's three fundamental drives, and selected among competing interpretations. The drives are the substrate from which it is built, not nodes in the tree; what distinguishes the overarching need is only that this selection cannot be delegated. It must be the individual's own. Motivation theory, decision theory, and problem-solving theory keep need, goal, and decision apart; here one constitutive process produces all three at once.

2.3.3. The blueprint a higher-level need carries

There is a subtle but important reason why these hierarchical structures emerge and persist in intelligent minds, human and non-human. A higher-level need contains, in effect, a blueprint of the subordinate needs beneath it. And that blueprint is not just the subordinate needs but also the logic by which they are set and addressed. That logic is the basis on which the disaggregation process generates candidate goals and the individual selects among them, so that the resulting needs make the most of current circumstances with the resources available.

The logic is not exercised downward only. Since the one process runs in both directions at once, the needs that form around the solutions available in the environment aggregate upward and reshape the need above them, and with it the logic that need carries. Each level is, in this sense, the logic of the subordinate level. That a coarser plan should carry the terms on which the finer one beneath it is filled in is long established in the study of planning (Miller, Galanter & Pribram, 1960; Sacerdoti, 1974).

The contents of that blueprint, both the needs it pictures and the logic by which they are set, come from what the individual has retained of past experience, held in the individual as engrams and, for a collective agent, in routines, records, and precedent. An engram is the physical substrate of a memory, the lasting change in neural connectivity that a past experience produces and that a later cue can reactivate, though never unchanged; the term was coined by Richard Semon, and the change is now understood as a lasting modification of the synaptic connections among the neurons an experience engaged (Semon, 1921; Hebb, 1949; Josselyn & Tonegawa, 2020).

Some of what was retained is lost outright, and the rest returns only in part (Tononi & Cirelli, 2014). As a new situation calls for it, what returns is reactivated and recombined into fresh needs and the blueprints they carry, so that everything in a blueprint traces to retained experience, in a new domain as much as a familiar one. Its errors carry the same signature as its successes, being mis-recombinations of what was retained. This is the reconstruction the theory already describes for recall (Bartlett, 1932; Schacter & Addis, 2007), turned forward to build a blueprint rather than backward to reconstruct the past.

Because a blueprint is assembled this way, from retained material recombined to fit a situation it never matches exactly, the need it yields cannot be perfectly sharp. Its blurriness is forced by how it is built, prior to any use the hierarchy makes of it.

An invented case makes the structure visible. Consider an individual who has spent their whole life in a cave, stepping out into an open landscape for the first time. What they take in is not one thing but everything in front of them at once, the near together with the far. Underfoot, loose stone and a patch of soft ground. Below, a slope broken by rocks, with two ways down, one along a bare ridge and one through low scrub. Beyond, the floor of the valley, and at the horizon a pale gleam that could be water, too far to be seen clearly. Nothing in the scene is still. The weather crosses toward the gleam, and the light is going. Needs form against all of it in the same instant, the coarse together with the fine, and each coarse need contains the finer needs beneath it, because the state it represents is made up of the states they represent. The tree is not assembled in stages. It is there whole in one moment, its needs set together from the broader and blurry to the narrower and specific.

The individual decides to go toward the gleam. Little is seen of what is there, and, having spent their life in the cave, the individual has almost nothing retained of open country to build from. So the need that forms toward the gleam is doubly imprecise, thin in what it is assembled from and dim in the destination it forms toward. It specifies no path, only the terms on which a way down will count, and it is itself set under the overarching need, the individual's own successful existence. Under it the finer needs form, the next steps, the way past the rocks, the descent along the ridge rather than through the scrub. Of all of them, the furthest is the least likely to match what will be found.

Partway down the ridge gives out; the scrub is still there under the same far need, and the finer needs are set again while it holds. What the way reveals reshapes, in the same movement, what that need is toward; seen closer, the gleam may be no water at all, and the destination is set anew under the need above it while the pursuit continues. Through the whole journey the far need is being addressed as the needs beneath it are created, addressed, and deleted. What a need takes in of the individual's circumstances and what it takes in of their existence are one and the same, and the higher the need, the further both extend.

2.3.4. Prediction and the tree's time dimension

Every need represents a desired success state, a state of existence the individual is working toward. A need is addressed as the needs beneath it are addressed, so the state it represents is approached over the whole stretch in which those needs are set and addressed, not reached at a moment. The one process sets a need and the needs beneath it together, at a coarser and a finer resolution of the same pursuit. The state a need represents contains the states beneath it, and it is a state of more of the individual's circumstances, and of more of their existence, than any of those states is alone. From any need in the hierarchy, the needs above it are therefore addressed over a longer stretch of the individual's existence, and the overarching need, which is never addressed as a whole, stands through the whole of it and is never deleted. The same ordering appears in hierarchic systems generally, whose levels change at different rates (Simon, 1962), and in the study of cognitive control, where the more abstract levels govern behavior over the longer episode and the concrete levels operate under them (Koechlin & Summerfield, 2007).

The Individual Hierarchical Tree of Needs therefore has a time dimension. Needs are created, addressed, and deleted over the course of the individual's perceived time; a need is deleted once it is addressed, because an addressed need no longer serves a purpose. A need still in play while the needs beneath it are being set provides guidance about what those needs are going to be, because the needs beneath it, and the stretch of existence in which they will be set, are already there in the state it represents, at its coarser resolution — the blueprint the need contains. That guidance holds to the degree that its basis carries over, and the basis usually does carry over, because the circumstances and resources from which candidates are generated and selected change more slowly than the needs set against them. This is what makes a need an efficient prediction mechanism for the needs beneath it: instead of calculating the next actionable goal from scratch at every step, a model of the world embedded at higher levels generates those probabilistic results more efficiently. Work on learning and control finds the same efficiency in hierarchy, where aggregating actions into reusable, temporally extended routines lowers the cost of working out the next step (Botvinick, Niv & Barto, 2009).

The process is one whether or not the circumstances the blueprint was assembled against still hold. What changes is how much of the blueprint is assembled afresh. Where those circumstances hold, it keeps running as prediction and the needs beneath it are set with little new construction, the case in which an experienced individual meets a situation already answered rather than worked out (Klein, 1998). Where they have changed, the guidance no longer fits and fresh needs are set under a need that still does (Gick & Holyoak, 1983). How far up the individual goes for that need follows the severity of the change. A change that breaks only the needs nearest the available solutions is answered a level or two above them; one that breaks more of what stood beneath them must be answered from higher, under a need it has left fitting.

One consequence is worth stating on its own. The tree at any moment is one assembly among those the retained material could support, put together under the logic of the pursuit now in force. When circumstances change, the same activity can be set under a different higher-level need, because the next tree is assembled fresh rather than corrected from the last one. Nothing is moved and nothing was stored: what carries over from tree to tree is the retained material and the logic of the needs still standing.

A note on terminology: in everyday speech, the logic carried by a higher-level need might be called the rationale for the needs below it. The theory does not adopt that word. A rationale, in ordinary use, is a justification the individual can state, and the hierarchy's logic is not read from what individuals state; introspective reports on the causes of behavior are unreliable, and recall of past goals is reconstructive. "Logic" names how those needs are set and addressed without implying that the individual can report it.

2.3.5. Blurriness as a functional property

The blurriness of higher-level needs is not a deficiency — it is a functional property. Higher-level needs are inherently less precise than lower-level needs because they serve two roles simultaneously: they provide top-down guidance for the disaggregation process, and they function as prediction mechanisms that generate probabilistic blueprints for the subordinate needs beneath them.

A perfectly specified higher-level need would constrain the disaggregation process to a single path, producing a rigid hierarchy incapable of adapting when circumstances change. A blurry higher-level need accommodates multiple candidate goals, which is exactly what the disaggregation process requires: the range of candidates a need can generate depends on its breadth, and the broader the need, the more likely it is to generate a candidate that also fits the changed circumstances. The blurriness is what keeps that range wide.

This functional role of imprecision has deep parallels in cognitive science. Predictive processing models of the brain (Clark, 2013) propose that the mind is organized as a hierarchical prediction system in which higher levels encode increasingly abstract, probabilistic representations that constrain but do not fully determine processing at the levels below. The predictions at higher levels are inherently less precise, and they must be, because their function is to accommodate the range of specific inputs that could arrive from below. The One-Need Theory's hierarchy exhibits the same structural property: higher-level needs are blurry because their function is to generate and guide multiple possible disaggregation paths, not to specify a single one.

Rosch's prototype theory of categorization (Rosch, 1973) provides a complementary insight: natural categories are organized around prototypical exemplars rather than sharp boundary definitions, and category membership is graded, not binary. A higher-level need functions like a prototype: it specifies a general region of desired states rather than a precise target, and multiple specific goals can belong to it with varying degrees of fit.

The shape of a higher-level need can come from other people's pursuits. A community is full of worked-out ways of doing things, sequences many of its members follow, and each of those ways is itself the settled product of many earlier pursuits. An individual forming a higher-level need can take such a way over whole, or take it as a starting point and adapt it, and the collective agent can do the same. People learn much of what they do by observing others (Bandura, 1986), and much of what any person knows and pursues arrives socially rather than being built from scratch (Boyd & Richerson, 1985; Henrich, 2016). A need taken over this way arrives already worked out, clearer and easier to define than fresh construction would have made it. What is copied still enters the individual's own hierarchy and is set under its logic, with the one process running on it in both directions as on any need: however common its shape, the need remains the individual's own.

Available solutions address only the lower needs, and the worked-out ways reach further, but they tend to grow fewer and more general, thinning gradually and stopping at no level. Needs above what any example reaches still form, immediately and together with the rest of the tree, and the one process keeps running in both directions there as everywhere. What changes is the ratio: at that height the process runs mostly top-down, each need set under the broader and blurrier need above it, because the solutions around which needs form and combine upward sit far below. Without an example, nothing outside sharpens the shape. Such a need marks out a range of states that would count as success rather than a picture of one: several candidate goals can belong to it, each fitting more or less well, blurry in the way the hierarchy requires, guiding what forms beneath it without narrowing it to a single path.

2.4. The tree as the individual’s model of the world and structure of their reasoning

2.4.1. The tree as mental model and world model

Taken as a whole, the Individual Hierarchical Tree of Needs is more than a scheme for organizing goals. It is the individual's working model of the world: the structure through which they anticipate what they will need and how their environment will respond. Any need with subordinate needs beneath it carries a logic for those needs, and that logic is a world model at that scale: a local model, in effect a probabilistic blueprint of the subordinate needs, more efficient than generating them from scratch. Composed under one overarching need, these local models constitute one integrated whole. "Unified" and "integrated" refer to precisely this composition.

This structure has been named from two research traditions, and both names are kept because each foregrounds something real. From cognitive science it is a mental model, a model held in a mind. Craik, who introduced the modern notion (Craik, 1943), described the mind as building a small-scale model of external reality and of its own possible actions, used to anticipate events; Johnson-Laird developed this into a theory of reasoning in which the model's structure corresponds to the structure of what it represents, and reasoning proceeds by building and manipulating such models rather than by applying formal rules (Johnson-Laird, 1983). In the One-Need Theory the tree is that model. Reasoning about what to pursue and how to pursue it runs on this one structure: candidate goals generated under the guidance of the levels above, one selected by decision. The theory is therefore also a model of reasoning.

From control theory and artificial intelligence it is a world model, a model of the environment's dynamics. The good-regulator theorem (Conant & Ashby, 1970) establishes that any system which successfully regulates another must contain a model of it — a conclusion Conant and Ashby themselves extended to the brain — and Tolman's cognitive map (Tolman, 1948) names the same idea in psychology: an internal model the organism builds and uses for flexible behavior. The two names are coextensive. They pick out one object — the individual's model of the world that is at the same time a model of their own pursuit within it — and neither contains the other. They converge in the predictive-processing paradigm the theory already adopts (Clark, 2013; Friston, 2010), where the agent's generative model is at once a model of the world and a model that includes the agent's own states.

2.4.2. The single model in the brain

The individual's model of the world has also been looked for in the brain, and what has been found there is a single representation. A single representation means one structure carrying work that had been assigned to separate systems: representing the situation the individual is in, valuing the options in front of them, and predicting what comes next. The theory takes nothing of its structure from this record. The hierarchy is built from first principles, and the findings enter as corroboration from an independent direction, not as ground. What the record bears on is one question: whether the substrate, where it has been examined, holds the model in one representation or in several.

A region long read as encoding the economic value of the options in front of the individual was proposed instead to hold an abstraction of the current task state, which learning elsewhere in the brain then draws on (Wilson et al., 2014). The proposal was borne out in people, where pattern classification applied to imaging data from a decision task of sixteen states found those states encoded in that region, and found them encoded more clearly in those who performed the task better (Schuck et al., 2016). In the hippocampus, place cells, neurons that fire when the animal is at a particular place, had already provided direct evidence of an internal map (O'Keefe & Dostrovsky, 1971). Those cells were later found to encode each state by the states expected to follow it, one representation sufficient for predicting reward over the long run, and that representation is shaped by what the individual is doing, so the model of the world is built around the pursuit it serves (Stachenfeld, Botvinick & Gershman, 2017).

Together the findings carry one arrangement. The region long assigned to value turned out to hold the map, and the map to suffice for predicting reward. That is the theory's own arrangement, in which perceived value follows from position in the structure of pursuit rather than standing on its own. The limits of the record are equally plain: the tasks are small, so what they show is the form of the representation rather than a structure at the scale of a life, and nothing in them tests for a single top. Reading a state from recorded activity shows where information is carried, not the whole organization of its use. And the findings come from more than one region, with the division of work between regions unsettled. How the substrate carries the representation, where and by what means, the theory leaves to neuroscience; what the record settles is the form, and the form is the tree's: one representation, built for prediction, organized by the pursuit.

2.4.3. A single need at the top

What the One-Need Theory adds is the unifying need. Here the model is not merely held by an agent; it is organized as a single overarching need viewed at different degrees of coarseness: the individual's interpretation of a successful existence. That single need makes the motivational structure and the predictive structure the same object: the hierarchy of goals the individual pursues is the same structure as the model by which they predict the world, because both are constituted bidirectionally under one overarching need.

The one hierarchy is three things at once: a motivational goal-hierarchy, a predictive world-model, and a self-model organized by the need whose pursuit it serves. Each has precedent on its own: goal hierarchies in motivation theory (Maslow, 1943), world-models in predictive and control-theoretic work (Conant & Ashby, 1970; Friston, 2010), and self-inclusive models in predictive-processing work (Clark, 2013).

2.4.4. The tree compared with active inference

The nearest adjacent theory is active inference, developed in neuroscience under the free energy principle. In plain terms, it holds that the brain continually predicts its own sensory input and acts to shrink the gap between what it predicts and what arrives. To do this, the agent maintains a generative model: an internal model of the world that produces the predictions. The point of contact is real. In that account too, one model covers both the world and the agent's own states, so pursuing goals and predicting the world already sit in a single structure. The claim here is not that the two have been brought together for the first time. The difference lies in the form of the model: what parts it has, how they are arranged, and what, if anything, stands at the top.

On form, the general principle is silent. It fixes what the model is for, prediction, and leaves open what the model is built like. Where researchers in that tradition have specified the architecture, they specified two hierarchies. One, a control hierarchy, handles how: the actions, and sequences of actions, through which a goal can be achieved. The other, a motivational hierarchy, handles which: how much each outcome is worth pursuing, given the state of the body and the situation. The two are coordinated by continuously adjusting how much weight each carries, which that account calls precision (Pezzulo, Rigoli & Friston, 2018). The One-Need Theory specifies one hierarchy. Every node is at once a need, a goal, and a decision, so which to pursue and how to pursue it are read at the same node, not in two coordinated systems.

The second difference is the top. The specified hierarchies rise from immediate signals, such as hunger, through standing rules, such as a diet being kept, to the particular situation, such as a birthday that sets the diet aside for a day. The situation is where they stop. Nothing above it gathers the whole into one need, and nothing in the structure carries the agent's existence as what the model is organized around. In the One-Need Theory the hierarchy has a single top: the overarching need, the individual's own interpretation of a successful existence, subjective in content, continuously revised, and with the individual's existence at stake.

The third difference is what makes the model one thing rather than two. In active inference the answer is a process. The two hierarchies are integrated in operation, with motivation weighing into control moment by moment, and the model holds together over time by continuing to predict well; the literature calls this self-evidencing (Hohwy, 2016). In the One-Need Theory the answer is the structure itself. The hierarchy is one object because every need in it is constituted, through aggregation-disaggregation-selection, under the single overarching need. The unity does not have to be achieved by coordinating two structures, because motivating and predicting were never in separate structures to begin with.

The clearest statement of the difference comes from the adjacent account itself. The first open question its authors pose is whether control and motivation are two aspects of a single overarching mechanism (Pezzulo, Rigoli & Friston, 2018). The One-Need Theory answers it: they are, because they are the same hierarchy, one structure under a single top, motivating and predicting at the same node. That specification is, plausibly, without precedent.

2.4.5. The tree compared with a directed acyclic graph

The tree is the working structure of pursuit: one name that carries hierarchy, subordination, and a single top at once. The claim is about the organization of the pursuit, not about the mathematics of what the brain stores; the theory is stated verbally, and its mathematical formalization remains future work. What the name commits the theory to is the derived structure itself: needs generated beneath needs, one selected at each node, everything constituted under a single overarching need.

The nearest formal alternative to the tree is a directed acyclic graph, a DAG, in which a node may stand beneath more than one parent. The reading it suggests is that the underlying structure is a standing graph of need relations, with the tree of any moment as one hierarchy selected from it by the logic of the pursuit now in force. The reading has substance. Across time and circumstances the same activity can stand under different higher-level needs, and the relations carried in what an individual retains are richer than any single tree. A standing graph would record all of those relations at once and treat each tree as a selection from the record.

The theory keeps the tree, for the same reason it keeps no stored alternatives. Each tree is assembled fresh from what the individual retains, under the logic then governing, so different trees under different circumstances follow from fresh assembly with nothing recorded between them. Maintaining a standing graph would reintroduce storage, at the level of relations instead of options, and the efficiency that makes a need a prediction mechanism argues against it in the same way. The two readings also come apart in what they predict: a standing graph predicts reconfiguration along relations established earlier, while fresh assembly predicts new candidates fitted to the circumstances in which they are generated. How the retained material is itself organized, the theory leaves to the sciences of memory; the tree is its claim about the structure of pursuit.

2.4.6. Practical and theoretical reasoning on one structure

The study of reasoning divides its subject in two. Practical reasoning is reasoning about what to do: which need to take up and how to address it (Anscombe, 1957). Theoretical reasoning is reasoning about what is the case: what the environment holds and what it will do next. The One-Need Theory carries both kinds on one structure. Deciding what to pursue and how to pursue it runs on the tree, candidate goals generated under the guidance of the levels above, one selected by decision. Working out what is the case is the same tree at work as the individual's model of the world: built from experience, revised where its predictions fail, run forward to anticipate what is coming. Reasoning of either kind proceeds by building and working with models rather than by applying formal rules (Johnson-Laird, 1983), and the individual holds one model, the tree.

The claim is not confined to the practical half: the theory is a model of reasoning as such. It treats the pair as it treats control and motivation, not as two systems but as one structure doing two kinds of work. The theory already takes its decision from the study of practical reasoning: a commitment that constrains what is reasoned about afterward (Bratman, 1987). What it adds is the object of the conclusion. Practical reasoning ends in that decision, and decision names the thing decided rather than the act of deciding (Simon, 1947). The conclusion has a place in the tree, with needs above it that guided it and needs beneath it that it sets. The theory models the reasoner and the activity: what is reasoned about and to what end. It does not model the standards of logic or mathematics, and does not say which conclusions are correct.

The claim has a consequence for what can be handed to others. Reasoning of either kind runs on the tree, and the tree is one individual's. So the reasoning itself never travels. What passes to another party, whether another person, an institution, or a tool, is a statement of it. And a statement is narrower than what it states: putting reasons into words draws the judgment toward whatever is easiest to say (Wilson & Schooler, 1991). Outside participation in an individual's reasoning therefore runs on what can be stated, and the higher the need at stake, the less of it survives the stating. The bound does not come from the receiving party, however capable. It comes from what reasoning is: an activity on one individual's tree.

2.5. The retrospective prediction

The same structure that makes a need an efficient prediction mechanism for the needs beneath it produces a specific retrospective effect. A need contains the needs beneath it, so it is addressed only as they are addressed, and it stays in play across the whole stretch in which they are set and addressed; those finer needs are addressed and deleted within it. What remains from an earlier time is what stood above them. When an individual attempts to reconstruct past behavior — to remember why they made a particular decision or what they were pursuing at an earlier time — they work from those needs downward, re-disaggregating.

But this retrospective disaggregation operates under different conditions than the original: the individual's knowledge has changed, the environmental cues that shaped the needs set beneath them are gone, and the needs standing above now — not the ones that stood there at the time — provide the top-down guidance. The result is a reconstructed hierarchy that feels coherent but contains needs and goals that never actually existed. The individual does not experience this as invention. They experience it as remembering. But it is disaggregation operating on a partial record, guided by the present rather than the past.

This is a prediction the theory makes from its existing structure, and it aligns with one of the most robust findings in memory research. The foundational work on constructive memory (Bartlett, 1932) demonstrated that recall is not retrieval of stored records but active reconstruction guided by higher-level knowledge structures (schemas) that fill in gaps with plausible but fictitious details. The constructive episodic simulation hypothesis (Schacter & Addis, 2007) extended this insight, showing that the same cognitive machinery used to imagine future scenarios is used to reconstruct past ones: both involve combining elements into novel configurations rather than reproducing faithful records.

The alignment with the free energy principle (Friston, 2010) is direct: hierarchical generative models optimized for prediction, when applied retrospectively, generate the most probable reconstruction given current priors, which is systematically different from what actually occurred. Research on narrative identity (McAdams, 2001) showed the same dynamic operating at the scale of a lifetime: individuals construct coherent life narratives shaped by current goals and identity, not by faithful recall of past events.

The One-Need Theory provides the structural mechanism behind all of these findings: the hierarchy's design — each need blurrier and longer-lived than the needs beneath it — is built to navigate what is coming, not to preserve what has passed.

This has a practical consequence that runs counter to conventional management wisdom. Goal-setting theory (Locke & Latham, 1990) recommends specific, measurable goals as the most effective drivers of performance — and at the lower levels of the hierarchy, where needs are close to actionable solutions, this is correct. But the theory predicts that over-specifying goals at the higher levels of the hierarchy — making them sharp when they should be blurry — damages the hierarchy's adaptive quality by narrowing what those needs can generate when conditions change. This is consistent with Mintzberg's critique of strategic planning (Mintzberg, 1994): the attempt to specify strategy with precision destroys the emergent, adaptive quality that makes strategy work. The One-Need Theory provides the mechanism behind Mintzberg's observation — the hierarchy needs blurriness at the top to function.

2.6. Relation to major theories of motivation, cognition, and behavior

A note on terminology: the theory uses the term "need" because it was developed primarily in the context of business, where the Ofmos Theory of Business builds directly on it. However, needs as understood here — representations of desired success states that drive purposeful behavior — can also be referred to as "goals." The terms do not name two kinds of need. Where a need stands is a position in one ordering, running from the overarching need down to the solutions available in the environment, and any need is higher than the needs beneath it and lower than the needs above it. The further a need stands from those solutions, the more it functions like a goal in the traditional sense, aspirational and directional; the nearer it comes, the more it functions like a need in the everyday sense, specific and actionable. The two terms are interchangeable within the theory. (In earlier writings, the author has also used the term "issues.")

This territory has been mapped before, but mapped differently. Maslow proposed a fixed hierarchy of universal need categories through which individuals progress sequentially (Maslow, 1943). The One-Need Theory differs structurally: it does not require a fixed sequence, it does not impose universal categories, and it generates the hierarchy dynamically through a process (aggregation-disaggregation) rather than asserting it as a given. Maslow's hierarchy has been extensively criticized empirically (Wahba & Bridwell, 1976; Tay & Diener, 2011) precisely because people do not progress through need categories in the predicted order. The One-Need Theory avoids this problem because it does not predict any particular order, only a structure (tree) and a process (bidirectional aggregation-disaggregation).

What the One-Need Theory proposes is different from these theories: a single overarching goal that each individual disaggregates uniquely, producing a tree rather than a ladder, with the structure continuously reconstructed through bidirectional aggregation-disaggregation. There is no fixed sequence. There are no universal categories. The hierarchy is personal, subjective, and dynamic. This places it closer to the goal-hierarchy models in cognitive science and artificial intelligence planning than Maslow.

The means-ends analysis (Newell & Simon, 1972) models problem solving as a recursive process of comparing the current state to the goal state, identifying the difference, and selecting an operator that reduces it — decomposing large problems into more specific goals until each is small enough to be addressed directly. The control theory of self-regulation (Carver & Scheier, 1998) proposes a hierarchical structure of feedback loops in which abstract goals at the top generate increasingly concrete action plans at the bottom, with behavior at each level governed by a discrepancy-reducing loop that continuously compares the current state to the reference value and adjusts accordingly.

Both models describe hierarchical goal decomposition as the central mechanism of purposeful behavior — and the One-Need Theory's disaggregation process is structurally parallel to both. But the One-Need Theory adds what those models do not. The first addition is structural: in both models, goals generating more specific goals and reference values governing the feedback loops beneath them; the One-Need Theory's hierarchy is constituted bidirectionally, the solutions available in the environment generating needs at the lower levels that aggregate upward and reshape the higher-level goals they serve. The second is the economic consequence (every disaggregation that reaches the marketplace becomes a transaction) and the commoditization force that emerges in the business spaces those transactions create, along with the strategic dynamics of vendor innovation. These additions are what make the One-Need Theory a theory of economic behavior rather than a theory of goal pursuit alone.

The bidirectional constitution has precedent and support across the adjacent traditions. In the philosophy of action, the account of ends-in-view holds that ends are not fixed termini but are continuously reconstructed in the course of activity as the available means change (Dewey, 1922). In the study of planning, the same movement appears empirically, as planners revise abstract plans opportunistically when concrete opportunities arise (Hayes-Roth & Hayes-Roth, 1979). In ecological psychology, the action possibilities of the environment structure what the organism perceives and pursues (Gibson, 1979), the direction the theory describes when the availability of solutions triggers the creation of associated needs. And the predictive-processing paradigm the theory adopts is itself bidirectional, with descending predictions constraining the levels below while ascending signals revising the levels above (Clark, 2013; Friston, 2010). What these traditions supply piecemeal, the One-Need Theory makes constitutive of the hierarchy itself.

Max-Neef proposed a matrix of fundamental needs that are non-hierarchical and simultaneous (Max-Neef, 1991) — closer to the One-Need Theory than Maslow, but still imposing fixed categories. The One-Need Theory is more parsimonious: all such needs are disaggregations of a single overarching need, and the generative mechanism (disaggregation) explains why the categories exist rather than simply listing them.

The disaggregation process is itself a form of what Herbert Simon (Simon, 1955) called satisficing, making an intractable problem (successful existence as a whole) tractable by decomposing it into subproblems small enough to be matched with available solutions. Satisficing names that process, not the drive behind it. The drive is to make the most of a given amount of resources, what economics calls economizing (Menger, 1871; Robbins, 1932); satisficing is what that drive produces when a problem is too large to be settled whole, a match with an available solution rather than a best one. The One-Need Theory carries that process from the individual decision through to its economic consequences. Every transaction takes a position on the Collective Continuum of Needs, which the Ofmos Theory uses to describe how companies and economies work.

While each individual's hierarchy is personal and subjective, the disaggregation process is not entirely idiosyncratic. Research in self-determination theory (Deci & Ryan, 2000) has shown that certain patterns — the needs for autonomy, competence, and relatedness — appear reliably across individuals and cultures. These can be understood as high-level disaggregations of the need “successful existence” that recur because of shared human biology and social structure — not as fixed universal categories (the limitation of earlier need taxonomies) but as statistical tendencies in how humans decompose the same overarching goal. The One-Need Theory is compatible with these findings: it predicts that shared biology and shared social context will produce convergent disaggregation patterns, while individual subjectivity ensures that no two hierarchies are identical.

2.7. Cognitive tools and the hierarchy

2.7.1. External participation in the hierarchy's construction

When cognitive tools that participate in the thinking process are present in the individual's working environment, they can begin participating in the bidirectional aggregation-disaggregation process by which the Individual Hierarchical Tree of Needs is continuously constructed and reconstructed. A goal that originates from the tool's framing — a more specific goal it proposes, a higher-level reframing it suggests, a candidate the individual would not have generated unaided — enters the hierarchy structurally indistinguishable from a goal the individual generated independently. Because the process is bidirectional and simultaneous, participation at any point is inherently tree-wide: a lower-level goal, the instant it exists, is already reflected in every superordinate need above it in progressively coarser form.

Over time, the tree becomes a hybrid construction in which some nodes originate with the individual, some with external tools, and some through the interaction between them. This does not contradict the theory's characterization of the hierarchy as personal and subjective: those properties describe whose hierarchy it is and what its overarching need is, not who contributes to the aggregation-disaggregation process.

The structural claim — that the hierarchy's construction can accommodate external contributors — is consistent with the distributed-cognition tradition (Hutchins, 1995), which established that cognitive systems extend across people, artifacts, and the environment. The extended-mind thesis (Clark & Chalmers, 1998) makes the complementary philosophical case that cognitive processes can, under certain conditions, extend beyond the boundaries of the individual brain. Whether and how AI specifically participates in the construction of human goal hierarchies is an empirical question at the frontier of cognitive science research; the theory accommodates such participation without modification, because the bidirectional process is defined by its structure, not by the identity of the contributor.

What is distinctive about AI among cognitive technologies is the range of the Individual Hierarchical Tree of Needs across which it can participate. Writing externalized fine-grained memory. Double-entry bookkeeping made mid-level portfolio structure tractable. The spreadsheet made scenario modeling cognitively accessible. Each engaged the aggregation-disaggregation process at a specific range of levels of the tree. AI is the first cognitive technology that participates across the whole span, from the procedural work of automating routine operations to the deliberative work of generating, analyzing, and reframing. That span runs from the smallest and shortest needs at the bottom, through the needs that meet the offerings available, to the needs above them that no offering reaches. Its participation thins as it rises, since what can be passed to a tool is what can be stated.

2.7.2. The ownership constraint

The hierarchy's construction can accommodate external contributors, and a contribution can arrive at any height. Delegation, including the generation of goals by external tools, is normal and increasingly necessary, and nothing stops a tool from proposing a need as broad as the individual's whole pursuit. At every height, the overarching need included, what another party proposes becomes part of the hierarchy only through the individual's own selection. The higher the need, the more of it is the individual's own interpretation of their own successful existence. What another party produces is that party's reading of that existence, not the individual's own. The reason is definitional, not prudential. The constraint follows height, strengthening by degrees rather than starting at some level. The higher a need stands, the less of it another party can supply.

What also changes with height is how much survives the passing. A contribution has to be stated to be passed, and stating a need sharpens it, so what arrives is narrower than what was proposed. The broader the need, the more it loses in transit, and participation therefore thins toward the top without stopping at any level.

This ownership constraint has a specific structural consequence. The higher-level needs perform two functions beyond organizing the hierarchy: they predict the lower-level needs the individual will encounter, and they generate the alternatives that rapid reconfiguration draws on when circumstances change. Both functions depend on the higher-level needs being constructed and maintained by the individual whose pursuit of successful existence they organize.

When the construction of those higher-level needs is surrendered to an external agent — whether another person, an institution, or an AI tool — both functions are compromised. Lower-level needs that would have been anticipated must now be generated reactively, without the hierarchy's predictive scaffolding. Alternatives that the individual's own higher-level needs would have generated are no longer generated, removing the hierarchy's adaptive capacity.

This is a structural claim about what the hierarchy does, not a behavioral claim about what individuals experience: the cost can be present without the individual noticing it, because the moment-to-moment experience of accepting external framings can feel efficient. The cost manifests over the longer time scales at which the hierarchy's predictive and adaptive functions would have operated.

2.7.3. Augmented vs. co-constructed judgment

It follows that when human cognition and external cognitive tools are integrated into a working system, the judgment that system produces remains the individual's judgment, not a co-constructed or joint judgment. The distinction is structural. Every individual owns a single overarching need, and the Individual Hierarchical Tree of Needs that organizes their pursuit of it is an expression of that need. The AI tool has no overarching need of its own, no existence at stake, no higher-level goals that the judgment is in service of. The tool's contributions — framings, patterns, candidate goals, reframings — are evaluated by the individual against their own higher-level needs. Those that survive evaluation become genuine constituents of the hierarchy, structurally indistinguishable from goals the individual generated independently: the cognition is extended, and the hierarchy is enriched.

But the judgment the enriched hierarchy produces remains the individual's, because the overarching need that gives it direction is the individual's alone — and only the individual can evaluate decisions against their own pursuit of “successful existence.” This is what distinguishes augmented judgment from co-constructed judgment: the individual's cognitive capacity is extended, but the purpose the judgment serves, and therefore the judgment itself, belongs to the individual whose existence is at stake.

2.8. The collective agent

The hierarchy's construction extends beyond the solitary individual along two distinct axes. On the first, external contributors — people, institutions, cognitive tools — participate in the construction of a single agent's hierarchy: the tree becomes a hybrid construction, but the hierarchy, and the overarching need that organizes it, remain the individual's own. On the second, many individuals aggregate into a collective agent: an organization with an overarching need and a Collective Hierarchical Tree of Needs of its own. The first axis extends one agent's tree across contributors; the second produces a new agent. The One-Need Theory applies to this collective agent with structural modifications that reflect its collective nature.

An organization is a collective of individuals whose goals partially overlap. The shared and aligned goals of the people within the organization generate a Collective Hierarchical Tree of Needs — simplified, more stable, and more rigid than any individual's tree, because it represents the intersection of many individuals' goals rather than any single person's full hierarchy. Its rigidity has a further source in the collective agent's retained experience, which is held in routines, records, and precedent rather than in any single person's memory and is reactivated and recombined less readily than an individual's engrams are (Walsh & Ungson, 1991). The organization's overarching need is its own interpretation of a successful existence, typically articulated as survival, growth, and purpose.

The organization draws on one finite pool of resources, and the competing claims on that pool are settled against a single measure, so its overarching need is single for the same economic reason the individual's is. What makes the ground reach the collective is that it never depended on a single body, only on the pool being finite. It disaggregates this overarching need into subordinate needs — strategic priorities, resource allocations, market positions, operational targets — through a process structurally parallel to the individual's aggregation-disaggregation, but shaped by organizational structure, governance, and collective decision-making rather than by individual cognition alone.

A collective agent can take over ways that other collectives already use: structures, practices, strategies, taken whole or adapted. A way taken over arrives already worked out, often more fully than fresh construction would have made it. An organization's own tree starts from what its members' goals have in common, which leaves much open, and what other organizations do tends to fill in much of the rest. Organizations in the same field tend to grow alike, copying one another, and copying most where their own goals are least clear (DiMaggio & Powell, 1983). Whatever is taken over still enters under the organization's own top, and however common its shape, the tree remains the organization's own.

This view of the organization is consistent with organizational goal theory (Cyert & March, 1963), which describes organizational goals as negotiated compromises among stakeholders — a process parallel to the intersection of individual hierarchies that the One-Need Theory describes. What the One-Need Theory adds is the structure that theory leaves unspecified, the Collective Hierarchical Tree of Needs and the overarching need that organizes it. It is also consistent with the concept of strategic intent (Hamel & Prahalad, 1989), which identifies aspirational goals that guide resource allocation over time — the organizational analogue of the individual's overarching need.

The claim that a collective can itself be an agent has independent grounding. List and Pettit establish that certain organized collectives — those with procedures for forming, revising, and acting on attitudes — qualify as agents in their own right, with goals and commitments not reducible to those of their members (List & Pettit, 2011). List and Pettit's own term is "group agent"; "collective agent" is the same object, named to match the Collective Hierarchical Tree of Needs it maintains. The collective agent here is an agent in that sense: its hierarchy is generated by the intersection of its members' goals, yet the resulting structure, and the overarching need that organizes it, are the organization's own. A collective agent still acts only through its people: its attitudes are formed, revised, and acted on by individuals within it, working through those procedures.

A collective agent acts only through its people, and each person it acts through owns an overarching need of their own. What the collective intends therefore enters each member's hierarchy as one need among the many that member is already pursuing, and is set against them there. What the collective realizes is accordingly not what it intended, and the difference is a property of acting through agents rather than a failure of execution. The strategy literature has long separated the two, distinguishing strategies realized as intended from patterns realized despite intentions or in their absence (Mintzberg & Waters, 1985). The gap widens with the number of people an intention passes through, which is why control is lost as tiers accumulate and why that loss bounds how large a collective can usefully grow (Williamson, 1967).

Dennett supplies a complementary, pragmatic warrant (Dennett, 1987): a system is properly treated as an agent wherever the intentional stance — the attribution of goals, beliefs, and commitments to it — yields reliable prediction of its behavior, a standard organized collectives routinely meet. The nested character of the arrangement, agents whose constituents are themselves agents, parallels the account of living systems as nested and self-maintaining (Kirchhoff et al., 2018). Each such system can be described as enclosed by its own Markov blanket: the statistical boundary that separates a self-organizing system from its environment. An organization built of individuals, like an organism built of cells, maintains a hierarchy at its own level while its constituents maintain theirs.

A collective large enough to contain groups whose members' goals overlap in their own right contains collective agents. Some of them pursue what the larger collective pursues and some do not, and where they do not they act through procedures of their own toward a top of their own. Movements, factions, and mutinies are the visible cases. A small collective rarely shows this, for a structural reason rather than a matter of discipline. Its tree is the intersection of a few members' goals, so a divergence there removes the intersection instead of opposing it, and the collective either reforms around the new top or ceases. With few tiers there is little control loss, so divergence is visible while it is still small, and leaving is easier than staying to diverge.

2.9. Perceived value and the downward push

The One-Need Theory, with its Individual Hierarchical Tree of Needs, is also a theory of value. Higher-level needs, those closer to the overarching need “successful existence,” are more important to the individual than lower-level needs. The position of a need in the hierarchy directly indicates its perceived value: the higher the need, the greater the subjective importance or value the individual attributes to solutions that address it. This structural relationship between position and value becomes the foundation of the continuum and, ultimately, the perceived value dimension on the Ofmos Map.

An important dynamic operates continuously within the hierarchy, given that every need is susceptible to change as a result of the interaction with the environment over time. For needs with existing solutions, a downward push occurs. From the moment an individual becomes aware of a potential solution, including situations where a need is addressed repeatedly by the same solution, a natural process of learning occurs. An understanding of how the solution could be best employed is acquired. As that understanding is put to work, the layers of meaning or functionality that do not contribute to the overall priorities captured in the hierarchy are gradually stripped away or ignored. A new, broader need that subsumes the original is generated above it, providing a blueprint for how the solution should best fit the individual's specific circumstances. With that, the original need is not only pushed lower in the hierarchy but also becomes clearer and easier to define. Throughout, the need is identified by the solution that addresses it, both by the individual and by any observer, and that solution does not change. This is what makes the erosion counterintuitive. The solution's name holds fixed while the perceived value attached to it falls.

This is the mechanism of diminishing marginal value, related to but distinct from the classical law of diminishing marginal utility first articulated by Gossen and later developed by Menger as part of the marginalist revolution (Gossen, 1854; Menger, 1871). Where the classical formulation describes diminishing satisfaction from consuming additional units of a good at a single point in time, the One-Need Theory describes diminishing perceived value across time as accumulated knowledge strips away the complementary meanings that made the solution feel valuable when it was new. The need-solution pair slides lower in the hierarchy, making room for higher-level needs that are more aligned with the top-down guidance from the overarching need “successful existence.”

The pairing named here — a need and the solution matched with it — is what "need-solution pair" means throughout the theory. The innovation literature has a neighboring use of the phrase, in which need-solution pairs are discovered together, without a need being formulated first (von Hippel & von Krogh, 2016); in this theory the term names the matched pairing itself, however the match came about.

What produces this push is the body's regulatory tendencies, not a response to change in the surroundings. Two of the drives the hierarchy is built from — to make the most of a given amount of resources, and to remember and respond to change — keep operating through the simple passing of time, so the restructuring of understanding that pushes a need lower proceeds with no change in the surroundings required. The same holds in the nervous system, where neural representations reorganize over time even when the environment and the behavior they serve hold constant (Driscoll et al., 2017; Schoonover et al., 2021). When the surroundings change, that change enters the same process through the same drives, altering the circumstances the needs are set against.

The reorganization the push describes is one the nervous system is independently observed to perform, and the correlate is not borrowed from another domain but found in the very substrate the theory concerns, the individual's own memory. Over the passing of time a detailed, effortful memory is consolidated into a settled core (Kitamura et al., 2017), shedding episodic precision as it yields a schematic residue that guides behavior in new but related circumstances (Frankland & Bontempi, 2005). The engram work that establishes the consolidation follows a single memory across the weeks after it forms. Tagging the neurons engaged at the moment of learning, and reactivating them afterward, shows a cortical trace laid down at once but not yet functional, maturing over the following weeks under input from the fast hippocampal system, while the hippocampal trace that carried the memory at the start falls quiet without being lost.

What remains in service at the end is the cortical one, and what it holds is the regularity rather than the occasion. The two outcomes map onto the push point for point. The settled core is the original need made clearer, stripped to the core functionality of the solution that serves it; the schematic residue that carries into fresh circumstances is the broader need raised above it as a blueprint.

What builds that residue has been modeled directly. A single learning system taught new items quickly overwrites what it already holds, the failure that connectionist work identified as catastrophic interference, and what James McClelland and his colleagues proposed instead is two systems with different rates: one fast and specific, storing the individual episode as it occurs, and one slow, changing only a little on each reinstatement of that episode and therefore able to accumulate what is common across many of them (McClelland, McNaughton & O'Reilly, 1995). The slow system does not store the episodes. It discovers the regularity running through them, and holds that instead. The upward direction is the finding: from many settling specifics a superordinate representation is assembled above them, one that no single episode contains. This is the direction the hierarchy runs in when solutions in the environment generate needs at the lower levels and those needs aggregate upward into a broader need that orchestrates them. The theory says a new need subsuming the original is generated above it; the substrate is observed to assemble a superordinate representation above the specifics that settle beneath it.

Once such a representation exists, what it does to further learning has been tested. In Richard Morris's arena work, rats trained over weeks on a set of flavor-place associations, each flavor signaling where food was buried, acquire more than the individual pairings: they acquire the organization the pairings share. When new flavor-place pairs are then introduced, they are learned in a single trial, retained, and — where the same learning without the prior organization would have depended on the hippocampus for weeks — found to survive hippocampal lesions made only two days later, showing that the new associations had been taken up by the settled representation almost immediately. Lesion work in the same experiments establishes that the representation is doing causal work rather than accompanying the learning (Tse et al., 2007). This is the blueprint at work in the substrate. A need already in place carries a picture of the needs beneath it and the logic by which they are set, so that a need arriving under it need not be worked out from nothing; the finding is that a representation already in place absorbs a congruent new item at once, where an item arriving without one is learned slowly and from the beginning.

The two findings appear to conflict, since the slow system is what accumulates regularities and yet here it takes up a new item immediately, and the reconciliation is where the correspondence to the theory is sharpest. Extending the two-system account to cover the rapid case shows that the rate is set by the fit between the new item and what has already been built: an item consistent with the existing organization can be absorbed quickly, because absorbing it disturbs little, while an item inconsistent with it must be learned gradually and interleaved with the rest, because taking it up quickly would damage what is already there (McClelland, 2013). What governs the speed, then, is not the item but the organization receiving it. The theory makes the same assignment. A higher-level need carries not only the needs pictured beneath it but the logic by which they are set and addressed, and that logic is what any candidate arriving below is generated and selected against — each level being the logic of the level beneath it. The substrate reports the same arrangement: what is already built determines the terms on which what arrives is taken up.

The two directions are not two mechanisms. They are one process observed from either end: specifics settle and simplify while a superordinate representation forms above them, and that representation then governs how further specifics are set beneath it — the aggregation and disaggregation the theory describes as a single process running in both directions at once. The generality of the residue does not sit in tension with the core becoming clearer, because it is the broader guiding need the hierarchy already generates. And the correspondence is to the transformation itself, which is what the vertical ordering is made of: a need's position is fixed by how far it stands from the overarching need, and what the substrate is observed to perform is the change in a representation's own composition — from the detailed and occasion-bound to the settled and general — that moves a need along that ordering. The theory derives this reorganization from the body's regulatory drives, and perceived value follows from the position it produces; the neural record reports the same reorganization in the substrate that carries it.

For the individual, this downward push is real and directional. But it is bounded: a single individual's engagement with any one offering is finite. The individual may address the need once or a handful of times, the need may be deleted from their hierarchy entirely, and the individual moves on. It is when many individuals participate in the same business space over time that the bounded individual dynamics aggregate into a sustained structural force acting on the offering itself. That force is commoditization, and it is a property of the business space, not of any individual. Both the individual push and the collective force it feeds operate along the same underlying structure: an ordering of the hierarchy's needs by their relative position between the overarching need and the needs at the lower end of the tree.

2.10. The Individual Continuum of Needs

The Individual Hierarchical Tree of Needs assigns every need a position between the overarching need "successful existence" at the top and the smallest and shortest actionable needs at the bottom. The downward push moves needs along that ordering, and the collective force the push feeds operates along the same structure. What kind of ordering it is — a ladder of separate levels, or a single continuous span — is settled by the process that builds the tree.

Along the tree, need aggregation-disaggregation is one and the same process at every position. Disaggregation breaks needs down into more specific, subordinate needs; aggregation combines needs into broader, superordinate needs. Both operate at once, everywhere; what changes with the level is the ratio between the two, and it changes gradually. At the very top, the process is disaggregation alone: the overarching need is addressed by no available solution, so it can only be broken down, and a need near the top comes mostly from the breakdown of the needs above it. At the very bottom, the process is aggregation alone. The smallest and shortest actionable goals are the immediate steps the individual takes directly — the needs with the shortest time spans in the hierarchy, too immediate and too brief for any commercial offering to address. They can only combine upward, so a need near the bottom forms around what can actually be done, and needs like it combine into the broader, less sharply defined needs above them. Between the two extremes, the composition shifts by degrees, with no level at which it jumps.

That gradual shift is what makes the ordering a continuum. The need-addressing behaviors are what create the hierarchy and its levels, and their composition changes continuously from top to bottom, so every need occupies a position on one continuous span. This span is the Individual Continuum of Needs. It covers the whole tree: from the overarching need at the top to the smallest and shortest actionable needs at the bottom, nothing in the hierarchy is left out. Needs high on the continuum are the high-level needs — closer to the overarching need, and so more idealistic, more complex, and far from any specific solution. Needs low on the continuum are the low-level needs — concrete, well understood, and closely matched to available solutions or, at the very bottom, set and acted on directly in response to the environment.

Perceived value follows the ordering. The higher a need sits on the continuum, the greater its perceived value, and a solution takes the perceived value of the need it is matched with. The same relation can be read as a portion: because the tree is built by aggregation-disaggregation, every need carries a portion of the overarching need — the part of its pursuit that passes through that need and the needs beneath it. Portion and position are tied through the process itself: the larger the portion a need carries, the farther it stands from anything a single solution could address, the more its formation is weighted toward disaggregation, and the higher on the continuum it sits — and the greater, accordingly, its perceived value. Between major changes in circumstances, the process keeps needs at the same level of the tree roughly comparable in the portions they carry — the pattern persistent hierarchical systems show generally, being near-decomposable and built at every level of subsystems of comparable scale (Simon, 1962). Level in the tree, position on the continuum, and portion carried therefore move together, and a position on the continuum indicates, at once, the perceived value of a need and of any solution matched with it.

Commercial offerings address only part of the span. The needs they can be matched with sit in a horizontal band inside the tree: beneath the needs near the top, which are subjective and matched with no solution in the marketplace, and above the smallest and shortest needs at the bottom, which are acted on directly. The tree runs above and below the band, and the continuum runs with it. Consumer research has mapped this same arrangement from within the band: means-end chain theory links the concrete attributes of products through their consequences to the abstract personal values they ultimately serve (Gutman, 1982) — offerings are bought inside the band, while the needs they address sit beneath needs no offering reaches.

The full span is what keeps the individual in view as both agent and customer. Within the band, the individual appears as a customer, matched with commercial offerings; across the whole continuum, the individual appears as an agent, pursuing the overarching need through every need beneath it.

A note on terminology: The Individual Hierarchical Tree of Needs and the Individual Continuum of Needs are the full names of the concepts. For convenience, there are also accepted shorter forms that can be used to name the same objects: the Individual Tree of Needs, the Individual Tree, and the Tree of Needs. Similarly, the continuum can also be referred to as the Individual Continuum. Need, goal, and decision are the same thing in this theory: three names for one node, seen from three sides. Need names the lack the node fills, goal names the end it aims at, and decision names the commitment it carries. One object under several names, each carrying its own aspect, is the ordinary structure of sense and reference (Frege, 1892). Decision, in particular, names the thing decided, not the act of deciding: the committed content, the sense in which decision research defines a decision as a specific commitment to action (Mintzberg, Raisinghani & Théorêt, 1976). The reading is an old one in organization theory: Administrative Behavior treats the organization as a hierarchy of decisions where higher decisions set the premises of lower ones, decisions as composable contents, the same structure the trees of needs carry (Simon, 1947). Where the theory needs the act itself, it is called selection.

Consequently, forms like Individual Tree of Goals, Tree of Goals, Individual Continuum of Goals, and Continuum of Goals are accepted. So are the decision forms: Individual Tree of Decisions, Tree of Decisions, Individual Continuum of Decisions, and Continuum of Decisions. The names take attributes freely in context: forms like a customer's Individual Continuum or an individual's Tree of Needs are more likely to appear than not. Such attributes specify which individual is in view; they do not create new concepts.

This continuum, together with the dimension of functional complexity that completes the Ofmos Map, constitutes the reference system for the entire theoretical architecture. It is also what the two theories share: what the One-Need Theory derives within a single hierarchy, the Ofmos Theory of Business observes across many, aggregated from the signatures that transactions leave on the individual continuums of a collective's members.

2.11. The Overarching Need

2.11.1. The claim

Behavior is organized by a single overarching need: the individual's own interpretation of a successful existence. The claim is structural rather than phenomenological: the need is not felt as a need or held in attention, but is the structure through which every goal is pursued, read from the pattern of behavior over time. The interpretation is the individual's own, unique to them, and continuously revised as they learn. No two are alike, and none is fixed. The reading is behavioral for a second reason, beyond the unreliability of introspective reports. Putting the need into words sharpens it, and blurriness matters most at the top. People asked to analyze why they preferred one thing over another came away preferring different things, because stating reasons draws a judgment toward whatever is easiest to state (Wilson & Schooler, 1991). The need is therefore not merely hard to report. It is altered by the reporting.

Content this open invites an objection: if a successful existence can be almost anything, then the claim that behavior serves it would seem to explain everything and rule out nothing. But openness of content is not absence of constraint. The overarching need is defined against the failure of that existence, against ceasing to be the existence the individual is working to make successful, and that orientation fixes its direction however freely its content is filled in.

The failure the need is defined against is as subjective as the success. What one individual counts as their existence failing, another does not. The theory reads no universal aim, survival included, into the need. What is not subjective is that failure is possible at all. Whatever owns an overarching need, the individual paradigmatically but equally the collective agent, is a self-maintaining thing: it holds together for a finite time and can cease. Because it can cease, succeeding and failing are real states of it, and a successful existence is a determinate orientation, not an empty one. The individual keeps revising what a successful existence is, but every interpretation is defined against a failure that remains possible, and that is what keeps the need from being vacuous.

What would contradict the claim is an individual whose behavior stayed stably organized by two or more independent interpretations of a successful existence that never resolved into one. The observable signature would be two logics that never meet: settlements made on two separate measures that are never traded off against each other, with no transfer between their domains and no more general need ever forming across them.

The name of the overarching need, “successful existence,” records what has been established. “Existence” names the whole of the individual’s finite, self-maintaining life rather than any one region of it, which is why the need is defined against that existence's failure rather than a setback in some part of it. The whole is not a choice of vocabulary. Whatever owns the need is a self-maintaining thing, and succeeding and failing are states of that thing as a whole, not of its parts. An identity, a project, a course of life is a part of the existence, open to revision or loss while the existence continues. Any of them can fill the interpretation, and none of them is what the interpretation is of.

“Successful” is the individual's own reading of that existence, not an outside standard: what counts as succeeding is theirs to set and revise, always against the failure the existence remains liable to. The two words hold off the readings that would narrow the need. “Survival” would fix its content to staying alive, the biological reading already set aside. “Flourishing” or “well-being” would import an objective good life or a felt state of satisfaction, where the claim is neither: structural, since the need organizes behavior whether or not it is felt, and subjective, since its content is the individual's own.

“Need,” finally, says what kind of thing the top is. Because the overarching need is never felt as a need, and is altered by being put into words, it can be read as something other than a need, an organizing structure standing above the needs themselves. Within the theory that contrast does not exist. A need at any level is a representation of a state, carrying the logic by which the needs beneath it are set and settled, and needs are blurrier and longer-lived the higher they stand. Blurriness does not disqualify the top: the hierarchy requires blurriness there to function. Each level of the hierarchy is the same overarching need at a coarser or finer grain. The top differs from the needs beneath it in position and in breadth, not in kind. What is open about it is not whether it is a need but whether it is single.

2.11.2. The arguments

Four arguments establish the single overarching need, from four starting points: the body, reconfiguration under change, the construction of the hierarchy, and the ordering of needs. They are not one proof repeated, and they are not four free-standing proofs either. Each contributes a property the others do not supply. The body argument establishes that there is one top to have. The reconfiguration argument establishes that no environmental change removes it from play. The construction argument establishes that the top is built from below and shows itself in behavior. The ordering argument establishes that the top is single and never occupied. Where one argument takes a step from another, the borrowing is stated where it occurs.

The first supporting argument is the body. The individual is one bounded body, drawing on one finite pool of resources, able to act in one direction at a time. Incompatible pursuits must therefore be settled against one another on a single measure, and separate orderings would leave that comparison undefined. One measure requires one need at its top. It is no answer that several orderings might negotiate. A settlement that weighs how much each pursuit counts is a measure spanning both, and that measure is the ordering standing above them. A fixed priority that always favors one is such a measure at its coarsest. What is left is settlement that does not weigh the pursuits at all, a race or an arbitrary break, and that is not negotiation. It carries a prediction of its own, that which pursuit prevails would not move with how much each counts.

The second supporting argument is reconfiguration. As the environment changes, needs matched to specific conditions stop fitting: the conditions behind them are gone, and they stop guiding behavior. The individual reconfigures: they reach up to a need general enough that the change has not broken its fit, and re-disaggregate from there into fresh needs for the new conditions. For this to hold against a change of any severity, there must be a top need whose fit no change can break, or a sweeping enough change would leave nothing fitting and nothing to re-disaggregate from. The overarching need is that top: matched to no specific condition and never addressed as a whole, it holds nothing specific to break, and no event completes or removes it from play. Its singleness comes from the body argument: two unbreakable tops would leave the individual two guides and no measure to choose between them.

The third supporting argument is construction. When a group of needs is engaged together repeatedly, a more general need forms above the group. What it carries is not only the needs beneath it but the logic by which they are set, valued, and settled against one another. Behavior organized this way has been documented for decades. Plans are made of plans (Miller, Galanter & Pribram, 1960), and stable structures assemble from stable substructures (Simon, 1962). The mind's slower learning system extracts the structure that repeated episodes share rather than storing each episode alone (McClelland, McNaughton & O'Reilly, 1995). Consolidation of this kind does not happen once. The needs it produces are engaged together in their turn, so more general needs form above them, each carrying a more general logic. The construction climbs.

The climb does not stay in separate towers. A logic retained above one group of needs is not sealed to the domain where it formed. It is applied wherever it fits, in a new domain as much as a familiar one, and that is what the study of analogy and transfer documents (Gentner, 1983; Gick & Holyoak, 1983). And fit widens with generality, because a more general logic is one that fits more. So the most general logics an individual holds are applied across domains, and needs settled together under one logic are exactly the material a further consolidation forms above. Two topmost logics could not stand for long: both general enough to fit the same situations, they would be applied together, and their joint application would feed a consolidation above both. The construction has no resting state with two tops.

The same research shows that transfer across distant domains is slow and partial, and that is why the climb never finishes: the one fully unified logic is approached and never held complete. What can be read from behavior at any point is the shared logic itself, one way of setting, valuing, and settling needs, carried across everything the individual pursues. That shared logic is the part of the overarching need that behavior makes visible, and inferring the need's existence from it attributes no content to the need. The inference is offered as the best explanation of the evidence, not as a proof. Each step of the construction is documented in its own literature, and the convergence of the climb toward a single top is the theory's own conclusion. What the overarching need contributes first and foremost, before any content, is the one logic.

The fourth supporting argument is the ordering. Every higher need contains the needs beneath it, because the state it represents is made up of the states they represent. The ordering by perceived value therefore runs with an ordering by breadth: a need stands above every need it contains. The overarching need is the whole of them: the individual's entire interpretation of a successful existence, the smallest state that contains every need in the hierarchy, with nothing narrower containing them all.

A state that stands at or above every need in the ordering is an upper bound of it, and many states qualify. The lowest of these, the tightest bound still standing above every need, is what mathematics calls the least upper bound, or supremum. The numbers below one show it plainly: 0.9, then 0.99, then 0.999, climbing without end. Each falls short of one, none reaches it, and yet one is the lowest number standing above them all. One is their supremum, belonging to none of the numbers beneath it.

The overarching need stands to the hierarchy as one stands to those numbers, and two properties follow. The first is that the top is unique: a least upper bound, where it exists, is one.

In other words: suppose the hierarchy had two such tops. Each is a bound, standing at or above every need. And each is the tightest bound, so each stands at or below the other, since the other is a bound as well. Two states that each stand at or below the other are one and the same state. Two tops collapse into one.

The second property is that the tightest bound need not be among the things beneath it, just as one is not among the numbers climbing toward it. This is the relation that lets the overarching need be approached but never reached, never addressed as a whole, and so never deleted: a need is deleted once it is addressed in full, and this one never is. That the ordering rises toward such a bound at all, that there is one whole existence to be the whole of, is what the body argument establishes. What the ordering adds is a ground of its own for the singleness, and the shape of a top that is never occupied.

The borrowing is structural rather than arithmetic. Needs are not numbers and the hierarchy is not a calculation. The overarching need stands in the relation a supremum stands in: a single whole approached in ever-closer interpretations and never held at once. The same relation has been named before, as Kant's regulative ideal, an idea that organizes thought without being an object one attains (Kant, 1781), and as the limit inquiry moves toward without any inquirer reaching it (Peirce, 1878).

Take any one of the four away and something goes with it that the others do not restore. Drop the body and the ordering has no one whole existence to be the bound of. Drop construction and the top is asserted rather than built, with nothing in behavior to show it. Drop reconfiguration and nothing keeps the top in play through a change severe enough to break everything beneath it. Drop the ordering and the climb has no form to end in and no reason to end in one. What the four settle between them is the form of the need. The content stays open, and stays the individual's own.

2.11.3. The consequence

A consequence follows once the overarching need is granted as single, and it is among the most important results the singleness delivers. The hierarchy through which the individual pursues their goals and the model through which they predict their world are one and the same thing. The individual's needs, every one under the overarching need, are the goals they pursue. That same hierarchy, each higher need carrying a blueprint of the needs beneath it, is the model by which they anticipate what their environment will do. Motivation and prediction are not two systems that interact but one hierarchy read two ways. The identity is a consequence of the single overarching need, not further evidence for it: it follows from singleness rather than helping to establish it.

What makes them one is that both are readings of one hierarchy under a single overarching need. Each node is at once a need, a goal, and a decision: what the individual pursues, what they expect, and what they commit to are settled at the same node, not in separate structures brought into register after the fact. Were the hierarchy organized by several independent tops, the goal-hierarchy and the world-model would each be several structures, and there would be nothing single on either side for the identity to hold between. It is the single top that makes the motivating and the predicting one object rather than two that happen to correspond. What the identity delivers is large: through one and the same hierarchy the individual pursues goals and anticipates the world, and that hierarchy holds for as long as the single need does.

2.12. The One-Need Theory's utility and boundary conditions

A theory should close by stating what it is for and where it stops. The organizational-theory literature has made the standard explicit. A theoretical contribution lies not in cataloguing the what and the how of a phenomenon but in supplying the why, the generative logic from which the observed relationships follow, and in stating the conditions that bound the claim (Whetten, 1989). A theory so constituted is then evaluated on two criteria, whether it is falsifiable and whether it is useful, applied within the boundary conditions it has stated (Bacharach, 1989). The One-Need Theory closes on those terms.

The theory's utility is of two kinds. The first is explanatory: it supplies the why behind findings adjacent fields have documented separately. Conflicting goals and temporal discounting, the constructive character of recall, the limits of precise goal-setting high in a hierarchy, the participation of external tools in thinking: each is established in its own literature, and each follows structurally from one architecture. The architecture is a hierarchy continuously constructed in both directions at once under a single overarching need. Disaggregation breaks the overarching need and every need beneath it down into more specific needs. Aggregation combines needs upward into broader ones, from the smallest actionable needs at the bottom and from the needs that form around available solutions. Needs are blurrier and longer-lived the further they stand from available solutions, sharper and shorter-lived the nearer they come.

The second is generative: the theory is the base the Ofmos Theory of Business is built on, and the chain from one theory to the other runs through the hierarchy. The hierarchy yields the ordering, the ordering becomes the Individual Continuum, and a need's perceived value follows from its position on it. The same aggregation-disaggregation, operating on needs held in common, yields the collective counterparts of the tree and the continuum, the structures the second theory begins from. The downward push that learning produces in every hierarchy aggregates, across the many customers who share an offering, into the commoditization force. And the hierarchy's own logic, exercised deliberately, is strategizing, which in the marketplace is innovation, the deliberate answer to the force. A theory's utility includes what can be constructed on it.

The theory's boundary conditions follow from what it is about. Its domain is the deliberative agent: whatever owns an overarching need, its own interpretation of a successful existence, and constructs a hierarchy in pursuit of it. The individual is the paradigm case by construction. The collective agent extends the domain: a collective qualifies wherever it has procedures for forming, revising, and acting on its attitudes (List & Pettit, 2011). The domain therefore reaches wherever such procedures are found, and no further.

The economy marks the far side of the boundary: an aggregate of deliberative agents that is not itself one. No procedure forms attitudes for it, and no leadership articulates an overarching need for it. The boundary is gradual rather than sharp. As arrangements broaden beyond the ones that still articulate their goals, the top tends to fade, and with it the members' disaggregation of a shared need into needs of their own. What persists is the other direction: needs keep forming and combining upward within each member's hierarchy, shaped by circumstances and available solutions the members share. The alignment this builds is what remains at the breadth of an economy, faint and carried by what they hold in common. Its regularities are emergent, produced by the interactions of the agents within it rather than deliberated by any of them. Reading those regularities falls to the Ofmos Theory of Business.

3. The Ofmos Theory of Business

3.1. The Collective Tree of Needs and the Collective Continuum of Needs

The One-Need Theory describes a single individual: one hierarchical tree of needs under one overarching need, and one continuum ordering everything in it. The Ofmos Theory of Business (ofmos: offering-market cosmos) begins where two or more people hold together: a family, a team, a company, a market, a society. Of any such collective, it asks the same question the One-Need Theory asked of the individual: what needs are being pursued, and how are they organized? The answer is a second pair of structures, the Collective Hierarchical Tree of Needs and the Collective Continuum of Needs. These are not analogies imported from the individual. They arise from the same aggregation-disaggregation process, operating on needs that are shared rather than held alone.

What makes needs shared is the way collectives form and persist. A collective is sustained by a combination of incentives and constraints. On the incentive side, individuals participate because membership addresses needs in their own hierarchies better than acting alone would: organizations are systems of cooperation that persist only while the inducements they offer members outweigh the contributions they demand (Barnard, 1938), and collective action depends on incentives to individual members rather than on the common interest alone (Olson, 1965). On the constraint side, participation is bounded and shaped — by authority and rules inside organizations, and more broadly by the formal and informal institutions that structure interaction in any society (North, 1990), down to circumstances as plain as inhabiting the same geography. Incentives draw individuals into the collective; constraints align what they do there. Between them, some needs come to be held in common.

Shared needs arise by two routes, and the difference between the routes is what separates the tree from the continuum at the collective level. The first route is adoption: a need is articulated for the collective as a whole — a vision, big goals — and members take it into their own hierarchies. Adoption gives the collective what a tree requires: a single overarching need with a hierarchy beneath it. The second route is convergence: the same needs recur independently across many members because they face the same circumstances and the same available solutions. Convergence produces shared needs without a single top — not a tree, but an ordering, which is what the continuum captures. Every collective is held by some mixture of the two routes, and the mixture shifts along a gradient that runs with scale. The gradient is genuinely a gradient rather than a dichotomy: collectives in its middle that articulate shared rules and goals themselves, without external authority, are well documented (Ostrom, 1990).

In small collectives, adoption dominates. Leaders can articulate an overarching need, reach every member, target incentives person by person, and enforce constraints through authority over a single pool of resources. Defining that common purpose is the central function of the executive (Barnard, 1938). A collective of this kind genuinely carries a tree: the Collective Tree is the primary mechanism holding it together, and the Collective Continuum reflects the ordering of the needs in it.

In large collectives, convergence dominates. No articulation reaches millions of members, and no leadership can supply incentives member by member at that scale — this is precisely the point at which common interest alone stops holding a group together (Olson, 1965). Alignment comes instead from shared circumstances: the same territory, the same institutions, the same marketplace of available solutions. Overarching needs do not disappear at this scale, but they become faint, visible mainly in exceptional periods — a society at war shares a vivid common goal across most of its members. The Collective Tree correspondingly fades: close inspection reveals fragments of it, where many individual hierarchies branch the same way, but no single top under which a whole tree could form. The fragments are not noise; they return as need-addressing context when the theory turns to specific offerings and their markets. What stays robust at this scale is the ordering, because the same needs keep recurring across members and keep being addressed by the same offerings. In large collectives, the Collective Continuum is the structure that persists.

At the broadest scale, the shared content has everyday names. What a society calls its values are the higher-level needs many of its members share: broad states of success, far from any specific solution. What it calls its norms and customs are the shared ways its members address needs, the worked-out ways of doing things that sit lower, nearer what can actually be done. Both arise by the two routes already described, and once settled they become part of the circumstances members live in: solutions exist for the shared ways, and other members already act along them, so taking one up is ordinarily the best fit, and each member's own need-addressing tends to reproduce what it drew on. That tendency is one of the factors that holds a society together, alongside the incentives and constraints that sustain it. The theory accounts for how such shared values, norms, and customs come to exist and persist; whether any of them is good or right is a separate question, and the theory does not address it.

People tend to ignore information that goes against the ways they live by. The reason is usually not that the information is out of reach or too hard to understand. A person whose needs are already met by those ways has little to gain from information that says the ways are wrong, and much to change. Taking the information seriously would mean giving up what works and breaking with what everyone around them does. Ignoring such information is ordinarily the best fit, and every time the choice is made, the ways stay in place. The choice has reasons: needs of the person's own, higher in their tree than the ways the information goes against, and rarely put into words. Seen from outside, with those reasons unspoken, the choice can look like one made for no reason at all. The choice not to seek or use available information is called deliberate ignorance (Hertwig & Engel, 2016), and the record shows the choice is common (Golman, Hagmann & Loewenstein, 2017).

A collective agent tends the same way. An organization's ways are held in routines and precedent, sometimes written down as what the corporate world calls best practices. Information that goes against those ways is weighed against the organization's own needs, the needs its members' goals hold in common, not the personal needs of the people inside. Those needs are already met by the ways in place, so the organization ignores the information for the same reason a person does, and its people carry the choice out through the organization's own procedures. What the choice can cost differs, though. For a person, at least in a developed society, ignoring such information is rarely fatal. For an organization the record shows otherwise: incumbent companies kept ignoring the entrants that later displaced them, because serving existing customers met the incumbents' own needs better than responding would have (Christensen, 1997).

The same selection can point the other way. Not everyone's needs are well served by the ways in place. For such a member the best fit can lie in taking the ignored information seriously and breaking with the ways rather than keeping them. Artists and people who start movements make that choice, and so did the entrants. A departure gains little unless the ways in place serve many others poorly too, which is rare. Where many are poorly served, the gain tends to be outsized, and for the same reason the information was ignored: nearly everyone else left the possibility untried. The theory explains why such choices are made, not whether they are right.

Position on the gradient also determines how the structures can be known. In small collectives the tree is articulated, so it can be read directly. In large collectives nothing is articulated, and the continuum has to be observed; the observable trace of needs at societal scale is transactions. The Collective Continuum of a market or an economy is constructed by aggregating the signatures that transactions leave on the individual continuums of the members: each exchange of money for a solution carries the position that the underlying need occupies on that customer's Individual Continuum, and those positions are aggregated across the collective. The individual continuums themselves are not aggregated, and they do not need to be normalized first, because membership in the collective already implies substantial overlap between members' trees — above all in the region addressed by the offerings available to that collective. What the construction yields is only that region: the horizontal band where needs meet commercial offerings. Needs above the band are subjective and matched with no marketplace solution, so they leave no transactions; needs below it are addressed by action alone.

This construction parallels revealed preference theory (Samuelson, 1948): rather than inferring subjective utility, which is inaccessible, the theory infers need positions from observable behavior, which is measurable. Two customers buying the same product may have entirely different subjective motivations, but their transactions anchor to the same position on the Collective Continuum, because the need-addressing behavior relative to that offering is the same. It also parallels Hayek's account of the price system as an aggregator of dispersed knowledge (Hayek, 1945): no single mind has access to the subjective hierarchies that generate the transactions, and none is needed, because the transactions consolidate that dispersed knowledge into a shared, observable structure. The continuum measures behavior, not utility.

The transactions themselves are a scatter — a finite set of discrete exchanges, which no multitude turns into a filled continuum. The continuum is the ordering the scatter is represented on: transactions take positions on it, and their evolution over time plays out along it. The ordering holds as one shared structure because humans are social creatures living in shared societal arrangements, and because vendors must sell the same solution to multiple customers to sustain a business: the same needs recur across many individuals and are addressed by the same offerings, which keeps the continuum persistent throughout its length. Both of its ends are anchored by the societal and technological environment. The lower anchor sits where lower-level needs, shared by most if not all participants, meet typically accessible offerings, given the solutions possible in that environment. The upper anchor sits where the highest needs that can still be matched with offerings meet the most advanced solutions that environment makes possible; above it, needs remain subjective and leave no transactions. During periods of societal equilibrium — periods without major change — the anchors hold and the Collective Continuum stays fixed. When the environment changes, the anchors move.

In the present organization of economic life, two institutions show the two routes in nearly pure form, and the distinction between them is an old one in economics: the firm as a domain of conscious coordination through authority, the market as coordination through prices (Coase, 1937). The company or organization is held together mostly by adoption: its overarching need and the tree beneath it are set primarily by a small group of leaders, so the Collective Tree is the structure to work with there; a Collective Continuum can be drawn as well, but it adds little. The economy is held together mostly by convergence: a Collective Tree can be described there, but it is faint and carries little information; the Collective Continuum, constructed from transactions, is the structure the theory works with, and the one the remainder of the theory builds on.

A note on terminology: The Collective Hierarchical Tree of Needs and the Collective Continuum of Needs are the full names of the concepts. For convenience, there are also accepted shorter forms that can be used to name the same objects: the Collective Tree of Needs and the Collective Tree. Similarly, the continuum can also be referred to as the Collective Continuum. Need, goal, and decision are the same thing in this theory. Decision names the thing decided, not the act of deciding (Simon, 1947). The identity holds at every level of the theory. Which name appears follows the object in view: decision is the natural register below the band, where small, short goals are engaged by deciding and acting, and need is the natural register wherever offerings and markets are in view. Consequently, forms like Collective Tree of Goals and Collective Continuum of Goals are accepted, as are Collective Tree of Decisions and Collective Continuum of Decisions. The names take attributes freely in context: forms like a company-level Collective Tree of Needs or the economy's Collective Continuum are more likely to appear than not. Such attributes specify which collective is in view; they do not create new concepts. What separates the company from the economy is position on the gradient.

3.2. Perceived value and functional complexity

3.2.1. Functional complexity as the second dimension

The Collective Continuum of Needs, constructed from transactions, is the first dimension of the Ofmos Map. It runs vertically, and what it indicates is perceived value: a solution takes the perceived value of the need it is matched with, each transaction anchors to the position of that need, and the aggregation of those positions carries the ordering of the individual hierarchies into the collective structure — the higher a need sits, and the larger the portion of the overarching need it carries, the greater its perceived value. An offering's position on the vertical dimension indicates its perceived value, from low at the bottom to high at the top. Need-addressing creates the ordering; perceived value follows it; the dimension, like the continuum it is read from, measures behavior, not utility.

The dimension is not a scale abstracted from the continuum; it is the continuum. Here it takes its collective form, because it is constructed from transactions and describes a collective's marketplace; wherever the theory analyzes a single individual instead, the same dimension is that individual's continuum.

The vertical dimension has the extent the construction gives it. The Collective Continuum built from transactions yields only the band where needs meet commercial offerings, and the ends of the band are the two anchors set by the societal and technological environment. The bottom of the Map sits at the lower anchor, where needs shared by most if not all participants meet typically accessible offerings; the top sits at the upper anchor, where the highest needs still matched with offerings meet the most advanced solutions that environment makes possible. The Map is therefore drawn for a given collective and a given period: during periods of societal equilibrium the anchors hold and the frame stays fixed; when the environment changes, the anchors move and the frame moves with them.

But perceived value alone does not fully characterize an offering. Two offerings may sit at the same level of perceived value and yet differ fundamentally in what they are: in their makeup, their feature scope, and the operational effort required to produce them. A simple, elegant product and a complex, feature-rich platform can both command the same perceived value in the eyes of customers while being structurally very different offerings that require very different capabilities to produce.

The Ofmos Map captures this by adding a second dimension: the offering's functional complexity — the capabilities and operational effort required to produce the offering, reflected in the scope of its features and functions. Functional complexity runs horizontally, from low on one end to high on the other. It is a property of the offering as produced, not of how the offering appears to the customer; the demand side of the Map is carried entirely by the vertical dimension. And like perceived value, it is read as an ordering: offerings within a competitive landscape are placed relative to one another, not assigned an absolute score.

With both dimensions in place, the Map completes the reference system: perceived value locates an offering against the needs of the collective, functional complexity locates it against what its production requires, and every offering in a landscape, matched with a need, takes one position on the two together.

3.2.2. The complexity dimension in the literature

The idea that the complexity of what is being produced is a strategically consequential variable has roots in several traditions. Woodward, in her landmark study of 100 manufacturing firms (Woodward, 1965), introduced technical complexity — the extent to which a production process can be programmed and automated — as the defining dimension that shapes organizational structure and performance. She showed that firms with different levels of technical complexity require fundamentally different organizational designs. Hobday extended this line of thinking to products themselves (Hobday, 1998), developing the concept of Complex Products and Systems (CoPS) — high-cost, engineering-intensive goods with many interconnected components — and demonstrating that the dynamics of innovation differ fundamentally between complex products and mass-produced commodity goods. More recently, Hidalgo and Hausmann developed the Economic Complexity Index (Hidalgo & Hausmann, 2009), which measures the productive capabilities embedded in a country's export basket — in effect, quantifying how many capabilities are required to produce the products a nation exports. Their work shows that product complexity, measured at national scale, is a powerful predictor of economic development.

The Ofmos Map draws on the insight common to all three traditions — that the complexity of what is being produced shapes strategy, innovation, and performance — but applies it differently. Where Woodward measures complexity at the organizational level, Hobday at the product-system level, and Hidalgo and Hausmann at the national level, the Ofmos Map measures it at the level of the individual offering within a competitive landscape, and pairs it with the demand-side dimension of perceived value derived from customers' hierarchies of needs through the transaction construction. This combination of a supply-side dimension (functional complexity) and a demand-side dimension (perceived value) on a single two-dimensional map is, as far as can be determined, original to the Ofmos framework.

Most existing strategic maps use either two demand-side dimensions, such as price and quality in perceptual maps (Hauser & Koppelman, 1979), or one demand-side and one market-structure dimension, such as market share and growth rate in the BCG matrix (Henderson, 1970). The pairing also differs from treatments that set customer value against producer cost as strategic postures — differentiation versus cost leadership (Porter, 1985), or the joint pursuit of higher value and lower cost (Kim & Mauborgne, 1997). Those frame value and cost as choices a firm makes; the Ofmos Map frames perceived value and functional complexity as coordinates every offering already occupies. The Ofmos Map's pairing makes visible a relationship that those maps do not capture: the interaction between what an offering is worth to customers and what it takes to produce.

3.3. The Ofmos Map as analytical tool

Perceived value and functional complexity together create the full landscape of need-addressing positions. Every offering, matched with a need, can be located on the Ofmos Map by its combination of the two. The Map is the analytical tool the Ofmos Theory of Business uses to describe how offerings are positioned, how they move, and how portfolios of offerings are structured and managed in one or more markets.

A Map is drawn, not given. Its frame follows the object of analysis: the collective in view, the period, and the part of the landscape the analysis concerns. At its widest, the frame is the one the construction sets — the vertical dimension extending over the band between the two anchors, positions on it read from transactions, and the horizontal dimension covering the range of functional complexity found in that collective's marketplace — and it holds for as long as the anchors do. Most analyses need less. An industry is a sliver of the economy, and a Map drawn for it covers only the part of each dimension that its needs and its offerings occupy. The frame can also leave the marketplace altogether and be drawn for a single person; the dimensions then take their individual forms. In every case the dimensions keep their identity — the vertical is the continuum, in the form the object requires; the horizontal is what addressing the need requires — and only the frame changes. Drawing the frame to the object is a condition of the Map's functioning, not a convenience: a frame fixed at the widest setting would leave an industry unreadable and a single person's decisions off the Map entirely.

The two dimensions are sufficient because need-addressing behavior has two sides: what the need is worth to the one pursuing it, and what it takes to address it. In the marketplace, the two sides meet in the transaction. A transaction occurs only when both are satisfied: someone must produce or enable the offering — captured by the horizontal dimension of functional complexity — and someone must find it worth transacting for — captured by the vertical dimension of perceived value. If either side is absent, there is no transaction; if both are present, the offering's strategic position is characterized. Below the band the transaction remains, with both sides in place: a need pursued and the effort of pursuing it, and no second party, no money, and no record involved. No third dimension is needed for strategic analysis, because the behavior has no third side. The clearest evidence is the Map's reach: the same two-dimensional reference system operates from the individual decision to the economy without a third dimension being forced in at any point. The sufficiency is strategic, not exhaustive: the two dimensions capture what the strategist needs to read positioning, movement, and portfolio dynamics, not every attribute the behavior has.

The transaction is one shape at every level: something is given, something is returned, and a need is addressed in the exchange. In the marketplace, the transaction is commercial. Two parties meet, the solution is an offering, money is given for it, and the exchange leaves a record, which is what the collective construction reads. Below the band, the same shape appears as the decision-action transaction, and the exchange runs between the agent and the environment. The decision is the need, the agent's own action is its solution, the action is given, and the cycle closes in the return, the contribution to successful existence. The commercial case is the theory's default register: transaction, plain, names it throughout, and the decision-action transaction carries its qualifier. Exchange is level-general: what separates the two is the second party, the money, and the record, not the shape.

Each transaction, where the two sides meet, yields a return. The objects on the Map, though, are not single transactions but the business spaces their recurrence forms. At the smallest scale, they are the routines — each a recurring decision-action pattern, a unit from its recurrence alone — since only in what recurs can commoditization and innovation appear. The return that belongs to a position is accordingly an accumulation: over one cycle, the returns of all the transactions inside the space add up. Every position on the Map therefore carries, beside its coordinates, a potential return — what a space at that position can yield over one cycle. The potential is read off the two coordinates jointly, not from a third dimension: the vertical coordinate sets what the matched need lets each transaction carry; the horizontal coordinate sets how few can produce at that complexity, and so how much of what the transactions carry is kept rather than competed away.

The potential rises with both. It is the yield of one space over one cycle, not a total: what a vendor collects in all depends also on how many spaces the vendor holds, and a frame drawn wide holds many more spaces toward low perceived value and low functional complexity than toward high. Collection follows movement: a business space operated while the force lowers its perceived value yields its return, and repositioning consumes it, in part or in whole, because the effort is paid for out of what the spaces yield. In the marketplace the return feeds the profit stream; where the Map is drawn for a single person, the transactions are the individual's decision-action transactions and the return is measured in success points.

The two-dimensional structure matters because innovation is itself a two-dimensional phenomenon. When a vendor seeks to change an offering's perceived value — to move it higher on the continuum — the lever available is the offering's functional complexity: adding features, expanding functionality, simplifying the design, or reconfiguring the offering's makeup. A change in functional complexity is frequently the mechanism through which a change in perceived value is produced. The Map captures both dimensions and their interaction, making the full strategic logic of positioning visible.

In principle, every deliberate action can be located on the Ofmos Map. Every action addresses a need, and the need has a position: in the marketplace, on the Collective Continuum; below the band, on the individual's own continuum, read from the need's place in the tree and the portion of the overarching need it carries. And every action demands something of the one who executes it. At the scale of the individual, the horizontal dimension takes its individual form: cognitive effort — what executing the action demands of the person. Individual decisions, work routines, recurring processes, and personal workflows are all need-solution pairs with both coordinates.

Each dimension reads two ways. In the marketplace, the vertical dimension is the Collective Continuum and the horizontal dimension is functional complexity. For a single person, they are the Individual Continuum and cognitive effort, and a drawn Map takes the reading its object requires. The Map's applicability therefore begins at the level of the individual decision, not at the level of the commercial offering.

3.4. Ofmos and tofmos

3.4.1. From transaction clusters to ofmos and tofmos

Over time, the transactions within a collective do not distribute randomly across the Collective Continuum. They cluster. They cluster because shared needs attract shared offerings, and shared offerings attract further customers with similar needs. Each cluster is characterized by three things: an offering, a set of customers who share the same need-addressing behavior relative to that offering, and a profit stream generated over time.

Need-addressing behavior includes not only the need the offering directly addresses but the context of neighboring needs in the customer's Individual Hierarchical Tree of Needs. Two customers can address the same need with the same offering, but that need might be surrounded by different neighboring needs in their respective hierarchies. If so, the transactions associated with the need in the two contexts will form separate clusters over time, each with its own evolution. The fragments of the Collective Tree are what make such contexts shared rather than one-off: where many individual hierarchies branch the same way, the same surrounding needs recur across many customers, and the separation between clusters is as persistent as the clusters themselves.

These clusters are not physical entities. They are the observable signatures of abstract business spaces: persistent units of shared need-addressing behavior, revealed in the flow of economic transactions, that together make up the underlying structure of the economy.

For the economy as a whole, where individual vendors are not identified, these abstract business spaces are called "total offering-market cosmos" (tofmos). A tofmos is defined entirely by the offering, the set of customers sharing the same need-addressing behavior, and the aggregate profit stream.

The industry comparison is worth making precise, because the industry is the nearest familiar concept. A tofmos is usually finer-grained than an industry and more sharply bounded. An industry classification lumps many offerings and many need-addressing contexts together, and its boundary is drawn by convention. The boundary of a tofmos is drawn by the behavior itself: one offering, one shared need-addressing behavior, one aggregate profit stream. A conventional industry can therefore contain several tofmos, and the divisions between them are not visible in the classification, only in the transactions. Reading a tofmos as a very specific, well-defined industry is a serviceable first approximation; the definition by behavior is what makes it exact.

For a single vendor, where the transactions associated with that vendor are isolated, the same kind of abstract entity is called an "offering-market cosmos" (ofmos). Each ofmos represents one vendor's participation in a tofmos. A tofmos is therefore constituted from one or more ofmos, each associated with a different vendor competing within the same tofmos. Because ofmos and tofmos operate at different scales of aggregation, they exhibit related but distinct dynamics: an ofmos is subject to direct competitive pressure from other ofmos within the same tofmos, while a tofmos is subject to the macro forces that shape the space as a whole.

A note on terminology: throughout the theory, what a concept is comes from its definition and from what can be observed of it, and its name comes afterward. Where everyday language already has a good word, the theory uses it, as with company and economy. Where it has none, the theory introduces a new word, as with ofmos and tofmos, or simply works with a description. Nothing scientific depends on which of the three happens. A concept without a name of its own loses nothing that can be measured, tested, or read from transactions, and a familiar name adds nothing beyond convenience. What matters is always the definition and the transactions the concept is read from.

The abstract business space is a general object, not only a commercial one: a solution matched with a need, a need-addressing behavior that recurs, and a stream of returns accumulating over time. Business space is an accepted shorter form of the name. Business is used here in a widened sense: the theory's domain is purposeful behavior organized into persistent patterns, from the individual's own actions to the economy, and business names the transactional form of that behavior wherever it occurs, whether or not money changes hands. Where the transactions are commercial exchanges, the vendor is either identified or left unidentified, and the space is the ofmos or the tofmos. Where the transactions are an individual's own decision-action transactions, a decision acted on and returning a result, the same kind of space recurs.

What takes a position on the Ofmos Map is the abstract business space, not the offering by itself. An offering enters the Map through the space it forms with its market, and the same offering, matched in different need-addressing contexts, forms different spaces at different positions. Where the theory speaks, for short, of an offering's position or an offering's movement, the space the offering forms with its market is meant. The reading in which offerings themselves are the units, each paired with its own market, is the Ofmos Simplification Principle, stated in the games.

3.4.2. The three constitutive conditions

Each of the three elements that together define an ofmos — offering, shared need-addressing behavior, profit stream over time — is a constitutive condition of the cluster. A constitutive condition is one of the conditions that, taken together with the others, makes an aggregate object what it is. The term follows the philosophical distinction between what constitutes a thing and what merely causes or accompanies it — the distinction behind constitutive rules in the analysis of institutional facts (Searle, 1995) and constitutive relevance in the analysis of mechanisms (Craver, 2007).

The three conditions are individually necessary and jointly sufficient. Removing or weakening any of them does not produce a smaller version of the ofmos; it produces a different kind of object, or no coherent object at all. None of them, alone, defines an ofmos; a cluster that satisfies all three marks an ofmos. And what they jointly specify is organization: an ofmos is more than an aggregate of transactions — its defining properties depend on how the transactions are organized, not on their sum, which is the mark of emergence as the failure of aggregativity (Wimsatt, 1997). The same structural pattern holds for the tofmos (offering, shared behavior across all vendors, aggregate profit stream) and, more generally, wherever recurring transactions form a persistent object.

The recurring return is what makes a unit identifiable as a persistent one. Where the transactions are commercial, that return is the profit stream. Where they are an individual's own decision-action transactions, it is a success-point stream — the stream of returns on the cognitive effort invested, each a contribution to successful existence. Both admit negative values, since a transaction can return a loss, and a whole stream can run zero or negative over many cycles while its unit persists: the sign of a stream is a fact about the unit, not a condition of its existence. What sustains such a unit sits outside it, which is why companies and economies manage what they hold as portfolios, where one stream can carry another.

The theory is a theory of purposeful behavior, grounded in the three drives that evolution has produced in all living things. The constitutive conditions define the persistent, strategically manageable units that emerge from that behavior. Individual events that do not form patterns are the raw data — transactions; the units emerge from the pattern. Persistence is not an incidental property of these units but a premise of the apparatus: at every level, the emergent objects the theory observes and analyzes through their transaction signatures are the persistent ones — a cluster becomes an object only by holding over time — and what the theory derives about them, commoditization and innovation included, are properties of what persists. A single transaction is not an ofmos, and a single decision-action transaction — though it has a position on the Ofmos Map — is not yet a manageable unit; it becomes one only when it recurs over time as a pattern. This is the theory's domain: purposeful behavior organized into persistent, manageable patterns, from the individual's own actions to the economy.

A note on terminology: a routine is a recurring decision-action pattern — the persistent unit that recurrence alone creates, where the transactions are an individual's own. The smallest routine is a single repeat decision, addressed again and again; a broader routine holds a set of them, executed together. A routine exists before any consolidation and whether or not one ever occurs. Consolidation, the work of procedural learning, operates on routines: routines that recur together are bound under a superordinate need, and what results is a superordinate routine, engaged as one whole. The organizational routines of the collective are that consolidated case, and nothing in the unit depends on it.

3.4.3. The ofmos and the gap in the strategy vocabulary

The ofmos concept fills a gap in the strategy vocabulary. Strategic business units (as defined by BCG and GE/McKinsey) are organizational constructs defined by the company's internal structure (Haspeslagh, 1982). Market segments (as used in marketing theory) are defined by customer characteristics. Value propositions (as used in business model theory) are defined by the offering's relationship to customer needs (Lanning & Michaels, 1988; Osterwalder & Pigneur, 2010). None of these captures the intersection that the ofmos captures: a specific offering, a specific set of customers with the same behavior relative to that offering, and the profit stream generated by their interaction. The ofmos is simultaneously demand-side (defined by customer behavior), supply-side (defined by the offering), and financial (defined by the profit stream). No established concept in the strategy vocabulary does all three simultaneously.

The units also differ in where they come from. Strategic business units, market segments, and value propositions are each defined for a purpose, and the analyst chooses the basis, whether the company's own structure, the characteristics of the customer (Smith, 1956), or the promise the offering makes. The ofmos is not chosen. It is read from the transactions, and its three elements are the conditions under which the cluster holds together. The difference is observable. Two customers who address the same need with the same offering, but whose surrounding needs differ, generate transactions that separate into distinct clusters with distinct trajectories over time, while a unit defined by the company's structure or by the customer's characteristics holds them together, and the divergence appears as noise inside it. The demand-side traditions have reached the same limitation from their own direction, taking the job the customer is trying to get done, rather than the customer's characteristics, as the unit of analysis (Christensen, Cook & Hall, 2005). The ofmos does not exchange one chosen basis for another. It takes the unit from the behavior. Defining the unit from the company's side rather than from the customers' needs is the error named marketing myopia (Levitt, 1960).

3.5. Offering, solution, and product

Throughout this architecture, "offering" is the commercial term. It names whatever a vendor brings to a market to address a need — a product, a service, software, an experience, or a hybrid of these — and corresponds to what the marketing literature calls the "market offering" (Kotler, 2003). The choice is deliberate. The term commits to no particular form, and it does not presuppose that a need has been matched: an offering that has found no customers is still an offering, so the term can name the thing both before and after a transaction occurs. What it does presuppose is the marketplace. An offering exists only where a vendor brings something to market; below the band, where needs are addressed by action alone, there are no offerings.

"Vendor," in turn, names whoever brings the offering to the market. The term is broader than the reseller it can suggest: the party that builds the offering, the party that alters it, and the party that only distributes it are all vendors, and where the theory turns to innovation, the vendor in view is one that can alter what it sells.

"Solution" does a different job, and “offering” and “solution” are not related as general to narrow. A solution is whatever addresses a need, and the term is relative to that need: nothing is a solution in itself — something is a solution of the need it is matched with, and it takes the perceived value of that need. The matched pairing is what the term "need-solution pair" carries. Within the band, the solution role is filled by offerings: the marketplace solutions and available solutions that appear throughout the construction are offerings read from the demand side, and at the anchors the two vocabularies meet in the same sentences — needs matched with offerings, meeting the most advanced solutions the environment makes possible.

But "solution" reaches where "offering" does not. Below the band, the individual decisions, work routines, and personal workflows already located on the Map are need-solution pairs whose solution is the individual's own action, with no vendor and no market involved; in the decision-action transaction, the decision is the need — need, goal, and decision being the same thing in this theory (Simon, 1947) — and the action taken is its solution. What the offering is to a matched need in the marketplace, the individual's own action is to a need below the band.

And the term keeps its sense as possibility: the anchors are set by the solutions the societal and technological environment makes possible, whether or not a vendor has yet brought any of them to market. The two terms therefore cut across each other. "Offering" is committed to the marketplace and neutral about the match; "solution" is committed to the match and neutral about the marketplace. Neither can do the other's job, and this is why "solution" is not the general commercial term: used that way it would presuppose the match — an unmatched offering is nobody's solution — and it would import the connotation the practitioner literature has given the word, where a solution is one offering type among many, the integrated multi-product bundle aimed at a higher-level need (Tuli, Kohli & Bharadwaj, 2007).

"Product" leans toward tangible goods in ordinary use, so it is not the free-standing general term in running prose; "offering" does that job. It is kept in the established names where the name fixes it as the offering and the goods connotation falls away: the product portfolio, product innovation, the product-need fit, product category, and the compounds intended product and experienced product. In each of these, "product" is equivalent to "offering." The names are kept not only because they are established. They mark the case most of practice operates in: with the market held as given, the strategist manages a portfolio of offerings as products. That case is given a level of its own in the strategy framework, and stated as a simplification principle in the games.

A customer-centric reading once argued for making "solution" the general term, so that the analysis would rest on the customer's side rather than the vendor's. That emphasis no longer depends on the word. Perceived value is a demand-side dimension of the Ofmos Map, the experienced product is defined from the customer's engagement rather than the vendor's design, and "solution" itself is defined from the need rather than the vendor. The outside-in reading is secured by the apparatus, and "offering" carries the commercial sense without reintroducing a vendor-centric slant.

3.6. The product-need fit and the experienced product

For a transaction to take place, a fit must exist between the vendor's offering and the customer's need. This fit is the product-need fit: the degree to which the offering addresses the need it is matched with. It is the demand side of the transaction condition: a transaction occurs only when someone produces or enables the offering and someone finds it worth transacting for, and the offering is worth transacting for only insofar as it addresses the need. The fit is rarely total.

The intended product is the offering as the vendor conceives it: the full set of features and functionality the vendor brings to the market. The experienced product is the offering as it enters the customer's need-addressing behavior: the functionality the customer comes to value in engaging it. The distinction is qualitative, a way of reading the product-need fit, not a partition of the offering into a used part and an unused one. Customers can only engage what the vendor provides, so the experienced product is always drawn from the intended product. It is not always drawn from the functionality the vendor designed for: what a customer comes to value can be an affordance the design never aimed at. Elsewhere the theory holds the two together: the offering the customer uses to address the need is the offering the vendor produces, in full. Where they come apart, and what the difference changes, is described with innovation.

The two readings divide between the dimensions of the Ofmos Map. Functional complexity is a property of the offering as produced, so the horizontal dimension reads the intended product. Perceived value follows the need the customer actually addresses, so the vertical dimension reads the experienced product: a solution takes the perceived value of the need it is matched with, and the match runs through what the customer comes to value, not through the full functionality the vendor conceived. A position on the Map therefore joins the two: what its production requires as conceived, and what it is worth as experienced.

The experienced product also determines whether need-addressing behavior is shared. A cluster is a set of customers who share the same need-addressing behavior relative to an offering, and sharing that behavior includes coming to value the same functionality in it. Customers who come to value different functionality in the same intended product do not share the same need-addressing behavior relative to it, and their transactions separate into distinct clusters over time, just as different neighboring-need contexts separate them. Each cluster carries its own experienced product, and the same intended product can appear in more than one cluster.

The experienced product is distinct from the concentric product models of the marketing literature (Levitt, 1980; Kotler, 2003), which decompose the offering into layers from the vendor's side, each layer naming something the vendor can provide. The experienced product is defined from the customer's engagement with the offering, and it can include what no layer names. This customer-centric determination of value converges with the premise of service-dominant logic that value is determined by the beneficiary in use (Vargo & Lusch, 2004, 2008), though the two frameworks reach the claim independently: the One-Need Theory from the hierarchical structure of needs, service-dominant logic from an analysis of the nature of exchange.

The fit is also not static. As the customer accumulates knowledge of the offering, the need it addresses is pushed lower in the hierarchy, and what the customer comes to value in the offering changes with it. What moves is the experienced product: the intended product can stay fixed while the offering's perceived value falls. Aggregated across the many customers of the same offering, the individual dynamic becomes a structural force.

A college quad designed with winding walkways and landscaped gardens is, for the student cutting across the grass to reach class, a flat surface between two buildings. The intended product and the experienced product are different.

3.7. The commoditization force

3.7.1. The commoditization force as an emergent property

A structural force acts continuously on every ofmos (offering-market cosmos) and every tofmos (total offering-market cosmos). It is grounded in individual behavior without being reducible to it, which makes it an emergent property of the business spaces that form when many customers engage the same offerings over time. As the One-Need Theory describes, a customer who engages an offering learns. As knowledge accumulates, the need the offering addresses is pushed lower in the hierarchy, becomes clearer and easier to define, and may eventually be deleted from the hierarchy altogether. The push is real and directional, and for a single customer it is also bounded. One person's engagement with an offering is finite, and so is the learning it can produce.

In a business space the push is not bounded in the same way. Knowledge about an offering is transmitted socially rather than accumulated only through direct engagement, as the cultural-evolution literature establishes for human learning generally (Boyd & Richerson, 1985; Henrich, 2016). New customers arrive already holding what earlier customers learned, and the membership of the space renews while its knowledge persists. Erosion therefore compounds across the space instead of restarting with each customer. This is what makes the force emergent rather than a sum of individual pushes. Its sustained, compounding character depends on how the business space is organized and not on the number of pushes added together, the same failure of aggregativity that marks the ofmos itself.

This is the commoditization force: the collective erosion of an offering's perceived value, driven by its customers' accumulating knowledge of it. The strategy literature speaks loosely of a commoditization pressure. The theory reserves pressure for the felt effect and force for the structural cause. The force is law-like and testable. In a stable environment, absent innovation, the perceived value of any offering declines, and the decline is observable wherever transactions are recorded over time. A stable environment in which an offering's perceived value held or rose with no innovation behind it would count against the claim. The literature treats the pressure as one of the market's many conditions. The theory derives it as one of the two systemic outcomes of purposeful behavior, the other being innovation.

The diffusion of innovations (Rogers, 1962) and the technology adoption lifecycle (Moore, 1991) describe this collective learning from the adoption side, and the long-run price paths of mature product categories run in the direction the force predicts. Prices fall for two reasons, falling costs and falling perceived value, so the discriminating observation is a decline in what customers will pay where the vendor's costs have not moved. What the theory adds is the causal mechanism. Commoditization follows necessarily from learning, beginning with the individual customer and becoming visible across a business space once customers share the same offerings. The commoditization force is analogous to gravity in the business world. It is always present, always directional, and in a stable environment it always wins over time for any individual offering. Innovation counteracts it, but innovation buys position, not exemption.

3.7.2. Epistemic and procedural learning

Learning takes two forms, and both drive commoditization. Epistemic learning is the customer's evolving understanding of how the world works, the logic behind things, the offering included. Its effect is on the need structure. As knowledge of an offering accumulates, it pushes the need the offering addresses lower in the hierarchy and makes room above it for superordinate needs, which is a change in the offering's perceived value. Because its object is the logic above the needs rather than any one task, epistemic learning is discovery based. It enters the tree at its higher levels and propagates downward, a revised understanding reorganizing the needs beneath it. Its impact on the tree is top-down, and it is the broader of the two forms.

Procedural learning is triggered by repetition, and the trigger serves efficiency. When the same set of smaller needs is executed together again and again, the organism's drive to make the most of a given amount of resources consolidates them under a new superordinate need. That need carries a logic that orchestrates the tasks below it (Miller, Galanter & Pribram, 1960). The whole costs less to engage than its parts run separately, and that saving is why the drive consolidates at all. The consolidation is the chunking cognitive psychology has documented since the 1950s (Miller, 1956). Experts hold wholes where novices hold parts (Chase & Simon, 1973), and skill acquisition composes step-by-step procedures into single larger units (Anderson, 1982). On the next execution it is the superordinate need that is accessed, and the constituent needs are reconstructed from it rather than engaged on their own (Shiffrin & Schneider, 1977; Logan, 1988). The constituents are thereby pushed lower in the hierarchy, which is to say that procedural learning commoditizes them.

The superordinate need then behaves and evolves as a whole, like any other individual need. It is engaged as one unit and takes a position of its own, above the constituents it comprises. The position is above them on both dimensions: higher in the hierarchy, at higher perceived value, and requiring more to engage than any single one of them, though less than all of them run separately. From that position it commoditizes in its turn as engagement with it accumulates. Procedural learning concentrates where repetition concentrates, and repetition concentrates at the bottom of the tree, where direct engagement with the environment addresses the smaller and shorter needs that recur most. From there it builds upward, consolidation stacking on consolidation, the way complex hierarchies form generally, with stable subassemblies combining into stable wholes (Simon, 1962). Its impact on the tree is bottom-up.

Neither cognitive effort nor functional complexity is reduced by procedural learning. The practice literature records effort declining with repetition. The theory reads the record as two movements. One is a change in which need is engaged. After consolidation, the focus shifts to the superordinate need, a whole that costs less to engage than its constituents run separately, from the moment it forms. Its logic does the setting up and sequencing each constituent once required: the constituents are easier only as members of that whole. Executed separately, they are separate needs again, with their effort intact. The other is the deliberate refinement repetition invites: innovation rather than learning. The chunking account of the power law makes the first reading (Newell & Rosenbloom, 1981): performance improves because larger units form. Nothing carries through the shift for a reduction to attach to, and no offering changed, so functional complexity does not move either.

The dual-process tradition divides thinking into a fast, automatic mode and a slow, effortful mode (Kahneman, 2011). In this theory the two are not systems of the mind but one hierarchy engaged at different levels. Execution is fast where a consolidated superordinate need is engaged as a whole. It is slow and effortful where no consolidation holds, and needs are engaged on their own or assembled for the first time. The switching the record shows, effortless execution interrupted by deliberate attention, is the focus moving between levels of one tree, not a handoff between systems. One consequence separates the accounts: the boundary between the modes is not fixed in the mind but moves as consolidations form, need by need, person by person. The theory does not dispute the record: it derives what the record shows from consolidation, as it does for the record of practice.

Both forms come from the same biological origin, the economizing drive already named, and the shared origin explains why they are correlated. Both intensify with repeated engagement. Their opposite directions are what keep them observationally distinct. The bifurcation itself is an old one, the distinction between knowing that and knowing how (Ryle, 1949). Other kinds of learning the literature names fold into these two at the resolution the theory works at. Declarative and conceptual learning are epistemic, and skill and habit learning are procedural. Social or observational learning is not a third form but the transmission through which both forms spread across a business space.

The pattern repeats at every level. For a repeat individual decision, epistemic learning commoditizes it as understanding accumulates, and procedural learning consolidates it with its neighbors under a superordinate routine, which pushes it lower as well. For an offering inside a tofmos, customers' epistemic learning aggregates into the commoditization force, and customers' procedural learning shows on the buying side, where repeated purchases consolidate the separate evaluations into a single settled decision. The buyer-behavior literature tracks that consolidation from extensive problem solving through limited problem solving to routinized response behavior, where the purchase is made from a settled set of alternatives with little deliberation (Howard & Sheth, 1969).

Vendors learn procedurally as well. Production tasks executed together repeatedly consolidate into routines, and a routine costs less to run than the same tasks executed separately. The cost decline the experience curve documents across industries records that consolidation together with the deliberate improvements repetition invites (Boston Consulting Group, 1968). The decomposition is the record's own: studies of the curve separate the decline that arrives with accumulated execution from the decline that managers induce by rebuilding production (Dutton & Thomas, 1984). The consolidation share corroborates the mechanism from an independent direction, since what the practice literature establishes in individuals turns up in the cost data of whole industries. It is a fact about how the vendor works rather than about what the offering is: no offering has changed, and neither perceived value nor functional complexity moves. The induced share is deliberate action on production, which is process innovation, and its movement belongs with innovation.

Collectives learn in both forms too, which is how the force reaches collective customers. A company that buys an offering holds the need for it in its Collective Hierarchical Tree of Needs, and the learning that erodes perceived value runs through that tree rather than through any one member's. Epistemic learning enters through the articulated top. When the leadership's understanding of how its world works revises, the articulation changes, members take the revision into their own hierarchies, and the reorganization propagates down. Procedural learning enters through the working bottom, where tasks executed together repeatedly consolidate into organizational routines (Nelson & Winter, 1982), the collective's superordinate needs, engaged as wholes while the constituent tasks commoditize beneath them. Where nothing is articulated, both forms run distributed across the membership.

3.7.3. The rate and reach of the force

The force has a rate. The erosion runs on learning, and learning arrives with transactions, so how fast a business space's perceived value falls depends on how often engagement recurs and on how much each engagement clarifies. A low price multiplies customers and speeds their engagement, as established with pricing, and the same two inputs can also run thin. Where the matched need stands high, the state it represents is approached over a long stretch (Simon, 1962; Koechlin & Summerfield, 2007), so engagement at that height recurs rarely, and the learning that erodes perceived value accumulates slowly. Such needs do not sit high despite the force. They stay high because the recurrence that would drive them lower is thin. Where an offering's contribution is vague, each engagement clarifies little, and the push is weak for that reason as well. The direction never changes: perceived value falls wherever a business space exists, at whatever rate its transactions supply.

The force also has a reach, and the reach follows the units. The force acts on business spaces, and a business space exists only where engagement recurs; what recurs forms the units at every level, from a single person's routines to the tofmos of an economy. A transaction that never recurs forms no unit, so there is nothing there for the force to act on, a boundary of the domain rather than an exception to it. A transaction that looks one-off usually stops looking that way on a wider reading: what is built once is engaged for years, in operation, upkeep, and renewal, and that recurring engagement is a business space like any other. Where such a space's perceived value holds, the holding indicates expenditure against the force rather than exemption from it, through mechanisms already defined. And a space engaged by a single agent erodes all the same, through that agent's own learning.

3.8. Innovation

3.8.1. Innovation as deliberate strategic action

The vendor has appeared in one role, as the party that brings the offering to the market. Innovation brings the vendor's own side into view, because a vendor is also an agent with needs of its own. The vendor in view from here on is one that can alter what it sells. A company, like any collective in this theory, carries a Collective Tree of Needs under an overarching need, typically articulated as a vision and corporate goals. The company is the main case, not the only one: any vendor, down to a single individual, carries an overarching need of its own. Whatever form the articulation takes, the overarching need includes survival wherever the vendor intends to keep operating, and for a business, survival means continuing to earn enough to keep operating.

In practice, a vendor aiming at survival ends up aiming beyond it. Breakeven is the boundary below which results are losses, and results scatter around whatever a vendor aims at. Aiming exactly at breakeven means landing below it regularly, and losses weigh more than gains of the same size (Kahneman & Tversky, 1979). The robust course is to aim above the boundary, with a margin. The margin then grows on its own: the attained level becomes the new reference point, aspirations adjust upward with attainment (March & Simon, 1958), and organizations accumulate slack, a standing buffer above survival (Cyert & March, 1963). Success in business, earning more than survival requires, is therefore not an ambition added on top of survival but the path of least resistance for an agent that must survive under uncertainty.

What a vendor earns, it earns through its offerings: the profit streams of the business spaces they form with their markets are, together, what survival and success are made of. Every one of those offerings sits under the commoditization force, and as the force erodes an offering's perceived value, the stream its space returns thins with it. In a stable environment, absent innovation, the thinning does not stop, and a stream can pass zero into loss, so sooner or later the vendor has to act.

Innovation is the vendor's deliberate effort to change one of its business spaces or to create a new one. Only two elements of a space are open to that effort: the offering, which the vendor itself produces and can change outright, and the market's perception of the offering, which the vendor cannot dictate but can influence. The third element, the profit stream, is open to no direct effort: it follows from the other two. Whether the effort succeeded is read the same way the theory's objects are, from the transactions. On the Ofmos Map, a changed space appears at a new position, and a new space appears where the offering-market pair is new, whether because the offering is new, the market is new, or both. Failed innovation, in plain English, is effort that produced no new business.

The same learning that erodes the perceived value of existing offerings also keeps creating the demand for better ones. As customers come to know an offering, the needs matched with it are pushed lower in their hierarchies, and room opens above them for higher-level needs that no offering yet serves well: needs more idealistic, more complex, and far from any specific solution. This is why the demand for something better never runs out. It is also only a condition, and it turns into new business only when a vendor acts on it.

Innovation is carried out in two contexts at once. The first context is set by the commoditization force: it is at work in every business space the vendor holds, wherever there are customers, because customer learning accumulates whether or not any competitor exists. The necessity to innovate therefore exists even where no competitor does. The second context is competition, wherever a tofmos holds more than one ofmos: other vendors, each able to act on the same conditions. Competition is where innovation becomes most visible in practice, and it is the reason a vendor's strategic decisions are never made in isolation.

Like the erosion it answers, innovation happens in the individual's own behavior as well. Below the band, where no vendor and no market are involved, the definition holds with the individual in the vendor's role and cognitive effort as the horizontal dimension. A routine is commoditized by the individual's own learning, and innovating it means reconfiguring its components to address a higher-level need.

Innovation stays deliberate at this level too, though the deliberate act can sit upstream. A tool or framework once deliberately adopted remains an innovation after its use has become automatic. A habit formed by repetition is procedural learning, not innovation. The difference is not deliberateness, because every engagement of the habit was itself a selection. It is that no act changed the solution or the way it is engaged: the repetition fed consolidation, which, as established with the force, reduces no effort and instead commoditizes the needs it binds together. The two do not share a trajectory, because the deliberate adoption lowered the cognitive effort of executing the decision it serves and consolidation lowered nothing. What no agent ever deliberated, the decision shortcuts hardwired by evolutionary selection, is not innovation but inherited endowment: the residue of ancestral repeated decision-action transactions, the individual's starting stock of low-effort decisions.

3.8.2. The three forms of innovation

The forms innovation can take are set by the structure of the behavior it acts on. Need-addressing behavior has two sides: what the need is worth to the one pursuing it, and what it takes to address it. The vendor can act on either side. On the solution side, the vendor changes the offering. On the need side, the vendor changes the need the offering is matched with, while the offering stays as it is. There is no third lever, because the behavior has no third side. The completeness of the forms rests on the same ground as the sufficiency of the Map's two dimensions.

The two levers are not equally close at hand. The offering can be changed directly, with certainty that the change occurred. The customers can only be influenced, through intermediated means. The marketing tradition built the same asymmetry into its vocabulary: the controllable elements of the offer, set against demand that can only be influenced (Borden, 1964; McCarthy, 1960).

Direction completes the taxonomy. On the solution side the lever runs both ways: functionality can be added or removed. On the need side, deliberate effort aims at a higher-value need, because the force already pushes the matched need lower in the hierarchy. Innovation therefore takes three forms: product innovation in its two directions, increasing or decreasing the offering's functional complexity, and market innovation, which re-matches the offering with a higher-value need.

Product innovation operates through the offering's functional complexity, and its natural direction follows from the way individuals read functionality. An intelligent agent pursuing successful existence economizes by counting and comparing, telling more from less and higher from lower. That capacity is older than any economics: it is present in human infants and in other species (Feigenson, Dehaene & Spelke, 2004), and it is the ground on which agents settle for good-enough outcomes at bearable cost (Simon, 1955). Seen through it, added functionality reads as addressing more. The more capable offering is matched in the customer's hierarchy with a broader or more demanding need. The value follows the match.

The match is the condition. The vendor can change the offering at will, but the change means nothing to the customer until the added functionality is connected, in the customer's own hierarchy, to a need. The connection must be significant: a product-need fit worth transacting on. Functionality that connects to no need generates no transaction, and what generates no transaction appears nowhere on the Map. The complexity has increased, and no new business has come of it.

A change in an offering's functional complexity carries with it a change in the offering's perceived value, and the effect is real and directional but small. It is small against the erosion of perceived value the force produces over the life of a business space. The theory therefore treats product innovation, at the resolution it works at, as a change in the offering's functional complexity with its perceived value held unchanged. The statement is a simplification of the same kind as the standing assumption on the customer's use of an offering's functionality, and it is scoped to the movement of an existing business space.

Nothing is lost by the simplification, because product innovation does not counteract the force by regaining perceived value. A more complex offering is one that fewer vendors can produce, so more of what its transactions carry is kept rather than competed away. That kept share is why the potential return a position carries rises with functional complexity. Product innovation counteracts the force in the way the vendor's stake requires: not by holding perceived value up against the erosion, but by moving the business space to positions that yield more.

The larger moves ordinarily take a different shape. A significant share of product innovation involves two offerings: the original, serving as a base, and a new offering built on it, a derivative. Read as offering-market pairs, that is not a large move of the old business space but the creation of a new one, a new pair at a new position, while the base business space persists and its perceived value continues to decline. Some vendors keep both, some retire the base, and some manage the interplay deliberately over long periods. The object of that management is the portfolio. What the simplification governs is the move within one space. What the derivative offering shows is that beyond a certain size, product innovation creates rather than moves.

Decreasing complexity runs the same lever the other way. The leaner offering is matched with a need at a different, lower position, and the value falls with the match. Deliberate moves in this direction are not self-defeating. They are made for the portfolio and against competitors, and so are the price cases that run with the force rather than against it.

Product innovation also operates on the other component of functional complexity. The dimension is defined by capabilities and by the operational effort required to produce the offering. The effort component is open to deliberate action: reducing what production and delivery require while the features stand. This is what the innovation literature pairs with product innovation as process innovation (Utterback, 1994). On the Map the two are not different kinds of motion. Both are deliberate moves of the same business space along the same dimension, differing in which component changes and in what the move is for.

A process innovation moves the business space toward lower functional complexity, with perceived value effectively untouched at the resolution the theory works at. Its object is the return at the current position: production is deliberately rebuilt so that the offering requires fewer capabilities or less operational effort to produce. Producing then costs less while what the transactions carry holds, and the stream fattens with the offering's perceived value unchanged. It must be distinguished from the vendor's procedural learning, and the two do not share a movement. Consolidation of production routines changes how the vendor executes requirements that themselves stay as they are, so, as established with the force, no offering changes, neither dimension moves, and the record it leaves is falling cost. The separation is therefore not deliberateness alone but what changes: a process innovation changes the offering as produced, and procedural learning changes the vendor producing it.

Repetition produces the conditions for process innovation at the same time as it consolidates. What repeats is what a vendor comes to know in detail, and the knowing exposes what can be trimmed: a step that adds nothing, a setup longer than the requirement, a variation that no longer earns its cost. Acting on what repetition exposes is deliberate, the drive to make the most of a given amount of resources supplies the motive, and the refinements accumulate wherever execution recurs. The skill literature documents the same pairing in individuals: improvement comes in large part from practice activities designed to improve performance, deliberate refinement running alongside the consolidation that practice produces (Ericsson, Krampe & Tesch-Römer, 1993). The refinement is not free-form. It is fitted to what surrounds the task: the requirement above it, the components beneath it, and the neighboring routines it runs with.

Together, the two answer what practice makes easier. Part of the felt ease is the focus shifting to a consolidated whole that costs less to engage than its parts run separately, as established with the force, and that part moves no position. Part is the accumulated refinements, and that part is innovation, moving the business space toward lower functional complexity. The two are movements of different objects, read at different resolutions of one process. At the grain of the component task, the refinements run the effort down. At the grain of what the agent engages, consolidation builds larger units, and the engaged whole grows more complex. Both readings hold at once, and together they are how complex hierarchies form: stable subassemblies standardizing as the wholes above them grow (Simon, 1962). The same composition runs below the band, in a person's own routines, as in a vendor's production.

The composition also says what the two movements add up to in the record. On the dimension of what addressing the need requires, they run against each other: the refinements move each constituent down it, while engagement relocates to a consolidated whole that stands a step higher on it than what was engaged before. Each step is small. Consolidation stacks a few needs at a time, and a refinement trims what one round of repetition exposes. Opposite in direction and small in size, the two leave no net movement the theory can read at the resolution it works at, the same treatment the coupling of product innovation to perceived value receives. The claim is scoped by the size of the moves. Where a deliberate change is large, production substantially rebuilt or an engagement redesigned outright, it does not sit beneath that resolution: it stands as innovation, and the record shows it alongside commoditization.

On perceived value nothing offsets. The constituents move lower as they commoditize, engagement steps up to each newly formed whole, and the whole commoditizes in its turn. The height at which engagement runs therefore holds roughly steady while the needs occupying it move down through it. A coarser reading makes the same point. Where what a need is changes little enough that it reads as the same need over time, that reading shows the need moving lower, and nothing else: commoditization. Read from the transactions of a business space, the composition repeats. The offering itself does not move toward higher functional complexity. What stands above it is a larger unit, the settled decision already described, to which the repeated purchases increasingly belong. At the offering's grain the record shows commoditization and the refinements either party deliberately makes; at the settled decision's grain, a larger unit forming; between the two, no net movement in functional complexity to read.

Market innovation re-matches the vendor's offering: the same offering comes to be matched with a need of higher perceived value on the continuum. The intended product is not touched. What moves is the match, through a transformation of the need-addressing context in which customers perceive the offering. The mechanisms include branding, regulatory change, narrative cultivation, and responses to major social or environmental disruptions. Narrative cultivation in particular has an established economics: Shiller documents how narratives propagate through populations and move economic behavior at scale (Shiller, 2019), the same mechanism market innovation recruits deliberately.

Read from the transactions, the three constitutive conditions say what market innovation produces: the same offering, a new shared need-addressing behavior, a new profit stream. That is a new ofmos. It raises perceived value directly, fully against the erosion, which makes it the form that opposes the force most directly. It is also the harder form. The offering is the vendor's to change. The market's mind is only the vendor's to influence.

The three forms are the actions of a general model. A single move taken alone is a unit of the model, and real moves rarely come alone. In the market the moves compound. A change in functional complexity almost always produces a simultaneous change in perceived value, and the two coordinates of a business space's position move together. Every move lands in a field already moving, under the force and under the moves of the other vendors, with base and derivative offerings running side by side. The real world is fuzzier than the taxonomy, and it is supposed to be. The forms are how the strategist reads and composes actions, not a claim that actions come sorted. Innovation is a two-dimensional phenomenon on the Ofmos Map, and the strategist's task is to understand which form serves which purpose.

These forms are consistent with the incremental innovation literature (Utterback, 1994), which describes how established firms improve existing offerings through successive changes in complexity and capability. They are also consistent with the architectural innovation literature (Henderson & Clark, 1990), which describes how changes in the way components are linked, without necessarily changing the components themselves, can redefine an offering's position in the market. The theory subsumes both as specific patterns of product innovation.

3.8.3. The deliberate reduction of perceived value

The commoditization force lowers an offering's perceived value through what its customers learn, whether the vendor wants that or not. A vendor can also lower an offering's perceived value on purpose. From inside the affected business space that looks self-defeating, and it is not, because the vendor's stake was never that one space. Its survival and success are made of all its streams together. Lowering one offering's value can win customers, cut into a rival's streams, keep a rival out, or make room in the portfolio for another offering, and the gain lands there, outside the space whose value falls. Such an effort is innovation by the same test as every other form: it is deliberate, and its success is read from the transactions. Three cases follow, in rising order: less functionality, a lower price, and no price at all.

The first case removes functionality. Customers read a leaner offering as addressing less, so they match it with a lower need, and the offering takes the perceived value of the need it is matched with. The vendor accepts the lower value for what it buys. Some customers hold needs simpler than the full offering serves: it overshoots them, and they pay for functionality that connects to nothing they need. A leaner offering fits them, wins them from a rival that keeps overshooting them, and lets a portfolio hold a base and a derivative, each fitted to its own customers. Disruptive innovation (Christensen, 1997) is a special case inside this case, narrower than the category: an entrant serving overshot customers with a simpler offering while the incumbents keep adding functionality for the customers above them. The category does not reduce to it.

The second case lowers the price. Price is a descriptor of the offering, and it has a natural level: what the need the offering is matched with lets each transaction carry. A penetration price asks less than that (Dean, 1950), and the gap acts on the need itself, through two channels. The first is accessibility. A need whose solutions are abundant and cheap sits lower in a hierarchy than the same need with scarce ones: this is the classical paradox of value, water vital yet cheap, diamonds frivolous yet precious (Smith, 1776), resolved when value was tied to scarcity at the margin (Menger, 1871; Jevons, 1871; Walras, 1874). The theory reaches the resolution structurally. An abundant solution makes its need easier to address, the portion of the overarching need the need carries shrinks, and the need, remaining itself, moves lower.

The second channel is the force's own mechanism, accelerated. A low price multiplies customers and speeds their engagement, knowledge of the offering transmits socially across the enlarged membership, and the collective learning that constitutes the force compounds faster. The campaign does not imitate the force. It feeds it. Neither channel changes which need is matched: the same need, still connected to its superordinate needs, underlies every transaction the campaign adds, so the added customers share the existing need-addressing behavior and the business space stays one space, extended. What the vendor buys with the unasked part of every transaction is time. The offering's perceived value, with the natural price and profit that belong to its position, comes years sooner to where the force would have carried it anyway, and the vendor collects on volume, on speed, and on customers taken before rivals reach them.

In the main case the campaign ends by design. The ask returns to what the need, now lower, allows, and the compressed decline in perceived value remains: the offering holds at the lower perceived value the market now determines. A low price can instead be held for good, and no vendor holds one in isolation. Its point is the field. An ask held below what the position allows sets the going realization for every vendor in the tofmos, making the business space unrewarding to enter and costly to contest, the logic of limit pricing (Bain, 1949). It is sustainable on two bases. One is lower internal costs, the price set ahead of the cost declines that cumulative volume will deliver (Dolan & Jeuland, 1981). The other is support from the rest of the portfolio. A vendor with neither is running a losing strategy, and the portfolio base, taken to its limit, is the final case.

Open sourcing runs the same mechanism with the ask at zero, for good. Where it can work is set by the channels, because both need material. The accessibility channel needs many holders of the need, and holders thin toward the top of the band. The learning channel needs knowledge that spreads on its own, and only a widely understood offering spreads without a vendor carrying it. For a complex offering high in the band, price was never what held engagement back, know-how and setup were, and a price of zero removes neither: no transactions follow, and the effort produces no new business. Higher offerings are also designed to fit fewer customers, capping adoption outright. Open sourcing therefore carries two preconditions, precondition being an ordinary word here, not one of the theory's constitutive conditions: the offering must already be highly commoditized, and it must be a component other offerings build on.

The second precondition is what aligns the field. The open offering persists as a base that value-added offerings incorporate, a module that larger designs absorb (Baldwin & Clark, 2000), opened while its complements stay commercial (West, 2003). Because every vendor can build on the base, every vendor's interest flips from resisting it to adopting it, and adoption concentrates instead of fragmenting. The sponsor collects nothing in the open business space and collects on the spaces built above it, and the other vendors collect the same way. The commercial version of the same offering stops realizing, for sponsor and rivals alike across the tofmos, and competition moves up into the value-added layers. The economics of giving away a good and collecting on its complements are established (Lerner & Tirole, 2002; Shapiro & Varian, 1999).

Read by the three constitutive conditions, the event is a re-match. The offering stops being something customers pay to have a need addressed and becomes a common base, and the need it now addresses is a new one, the need for the base itself, held by nearly all participants at the bottom of the band, near the lower anchor, still inside the marketplace: vendors still bring and maintain the offering there, and what disappears is the money, not the market. A new shared need-addressing behavior is a new business space. Its profit stream is zero, or negative where the sponsor pays to maintain the base, and the space persists, its stream's sign being a fact about it, not a condition of its existence. With no money exchanged, the space is read from adoption, business naming the transactional form of purposeful behavior whether or not money changes hands.

3.8.4. Product innovation through engineering, adoption, and discovery

A customer who addresses a need with an offering puts some or all of its functionality to use, and the match between offering and need runs through the functionality in use. The experienced product therefore carries a functional complexity of its own, the experienced functional complexity: the complexity of the functionality actually in use as the customer addresses the need. It is an objective magnitude, not a perception, because which capabilities are in use is a matter of fact. And because the experienced product is always drawn from the intended product, the intended functional complexity is its ceiling. The standing assumption under which innovation has been defined is that the customer puts all of the offering's functionality to use, so the experienced functional complexity sits at its ceiling. Under that assumption, the offering the customer uses to address the need is the offering the vendor produces, in full. The assumption sets the granularity of the analysis.

Over the life of a persisting business space, with its stream running, the degree of fit between the offering and the need is not what the analysis reads, and the assumption holds. During transitions in the state of the space, the fit is where the information sits, and the three mechanisms below work at that finer resolution.

The match runs through use, so product innovation proceeds by three mechanisms, and they divide by what they move: the ceiling, or the use beneath it. Product innovation through engineering moves the ceiling. It is the traditional form and the main case: deliberate design changes with new features, new capabilities, and new versions. It is the only mechanism that changes the offering as produced, and so the only one that moves the business space on the horizontal dimension. Under the standing assumption, the added functionality goes into use at once, and the dynamics stated with the forms of innovation follow. The other two mechanisms raise use beneath a standing ceiling, through the customers around the offering or through each customer alone. The rise is temporary: it lasts while the experienced functional complexity is below the intended, and when use reaches the ceiling, the standing assumption holds again and the main dynamics resume.

Product innovation through adoption raises use through the customers around the offering. Capabilities that are structurally present but latent are activated by users joining a network. The offering becomes more capable not because the vendor changed it, but because the network of users around it grew. This is the mechanism underlying what the strategy literature describes as network effects (Katz & Shapiro, 1985; Shapiro & Varian, 1999). The offering appears to improve, yet the offering as produced has not changed. What rises is the experienced functional complexity, as adoption activates the latent capabilities, and the needs matched through the growing use sit higher, so perceived value rises with them. When adoption saturates and no further capabilities are being activated, the experienced functional complexity meets its ceiling and the commoditization force reasserts itself. This is why network effects do not contradict commoditization but temporarily outpace it.

Product innovation through discovery raises use through each customer alone: the customer uncovers capabilities present but not immediately apparent, and the offering becomes more valuable as the customer explores it. Here too the offering as produced does not change. The experienced functional complexity expands as more of the existing functionality comes into use, until exploration reaches the ceiling. Discovery has a relationship to the force that the other two mechanisms lack: the same learning process drives both. As the customer's knowledge of the functionality already in use accumulates, the need the offering addresses is pushed lower in the hierarchy, and perceived value falls. This is diminishing marginal value: what the classical literature treats as diminishing marginal utility (Menger, 1871; Jevons, 1871), derived from learning rather than assumed. The same learning can simultaneously uncover capabilities the customer did not know existed, expanding the experienced functional complexity and raising perceived value.

The net effect depends on the two rates: the rate at which value erodes through the functionality already in use, against the rate at which new capabilities come into use. An offering designed for progressive disclosure, where exploration continuously reveals new capabilities (Nielsen, 1993), converts the learning that drives commoditization into a simultaneous source of innovation, slowing the net erosion of perceived value.

In all three mechanisms the innovation remains the vendor's deliberate action, but the effort sits in different places. Engineering acts directly on the offering. In adoption and discovery, the vendor's effort is upstream: building capabilities that stay latent until the network activates them, and designing functionality that exploration will uncover. All three act where the force acts: on the abstract business space, the ofmos or the tofmos. The force moves the experienced product the space carries, and the three mechanisms expand it: engineering by raising the ceiling it is drawn from, adoption through network growth, discovery through the customer's own exploration. The three can operate simultaneously on the same offering, and the strategist's task is to understand which mechanisms are available and how they interact with the force.

3.9. Apparent exceptions to commoditization

3.9.1. What would count as an exception

The commoditization force is claimed to act on every business space, without exception. Several widely studied phenomena appear to show otherwise: offerings that hold or gain perceived value over long periods, and markets whose returns rise rather than fall. Three are prominent enough to be treated here. Network effects describe offerings that become more valuable as more customers adopt them. Luxury offerings appear to maintain high perceived value for decades with little change to the offering itself. Increasing returns describe markets in which an early advantage compounds instead of eroding. Each has a substantial literature behind it, and each is read in that literature as behavior ordinary offerings do not show. The theory reads none of the three as an exception, and the reading is checked against a stated test rather than asserted.

What would count as an exception follows from what the force claims. The claim is made for one business space at a time, under stated conditions: in a stable environment, absent innovation, the perceived value of any offering declines, and the decline is observable wherever transactions are recorded over time. An exception would therefore be a single business space, in a stable environment, whose perceived value holds or rises with no deliberate effort behind it. A slow decline is not a hold: a hold is read against the rate at which the force runs in that space, as established with the rate and reach of the force. The test can be checked. Innovation is deliberate, so there is an agent conducting it and a cost being paid, and when the effort stops the offering's perceived value falls. And the force acts on one business space, so a claim about anything wider is a claim about many business spaces at once. None of the three cases meets the test. Each fails it in a different way, and each failure names a different thing to check.

3.9.2. Network effects

The network effects literature runs from the early treatment of interdependent demand in communications (Rohlfs, 1974) through the work on network externalities and compatibility (Katz & Shapiro, 1985; Farrell & Saloner, 1985) to the syntheses that shaped platform strategy (Shapiro & Varian, 1999). Across that literature the phenomenon is a demand-side externality, and it is described at the level of the network: the number of participants, the size of the installed base, the connections available. The offering does not appear in the account as something that is changing. Whether the externality amounts to a market failure has been the main dispute, and one side of it holds the effects real while treating the externality itself as fragile and undocumented (Liebowitz & Margolis, 1994). That is a question about intervention. It leaves the strategist without an account of what is happening to the offering.

The theory reads the same facts as product innovation through adoption. An offering can hold a capability from the day it reaches the market and still not deliver it. A communication offering can technically connect any two participants at launch, but the capability is inert until the particular participants a customer needs are present. As they arrive, the functionality in use grows, the needs matched through that use sit higher in the customers' hierarchies, and perceived value rises with them. Nothing about the offering as produced has changed. What the literature attributes to the size of the network, the theory attributes to a change in the experienced product, and reads on the same two dimensions it reads every other offering on. The case is a misclassification rather than an exception.

The reclassification carries a prediction the conventional account does not. The mechanism draws on a finite stock: the capabilities present but not yet in use, and the customers not yet arrived. When adoption saturates, no further capabilities are activated, the functionality in use meets its ceiling, and the decline in perceived value resumes from the higher level adoption produced, with nothing defending it. Saturation is observable in the transactions before its consequences are, and faster adoption reaches it sooner. A renewal requirement follows: engineering runs out when new capability can no longer be built at the rate of the erosion, adoption runs out at saturation, and discovery runs out when nothing significant is left to find. When all three lapse, nothing counteracts the force, the erosion shows as pressure on price and margin, and managing the timing of the three is part of what holding a position requires.

3.9.3. Luxury offerings

Some offerings hold high perceived value for decades with little change to the offering itself, and some appreciate. The conventional accounts attribute this to the category. Conspicuous consumption makes the display of price part of what is bought (Veblen, 1899), and the effect has since been given formal treatment (Bagwell & Bernheim, 1996). The management literature on luxury treats the category as governed by rules that invert ordinary practice (Kapferer & Bastien, 2009). What these accounts share is where they locate the explanation: in the goods, or in the kind of demand they attract, rather than in anything the vendor is doing period after period. The observation itself is real, and the theory owes it a mechanism rather than an appeal to the category.

Prices fall for two reasons, falling costs and falling perceived value, and the discriminating observation is what customers will pay where the vendor's costs have not moved. In these cases what customers will pay has held or risen while production has not become more expensive, so perceived value has held or risen. What the theory disputes is the attribution. A perceived value that does not move is the net of two things, the erosion the force produces and deliberate action against it, and when the two are of the same size over a period the offering's perceived value stands still. Stillness of that kind indicates expenditure rather than exemption, and the expenditure runs through mechanisms the theory has already defined.

Two of the three mechanisms of product innovation are carrying the counteraction, engineering being largely absent since the offering itself changes little. Adoption operates without any technical network. Allocation, purchase histories and controlled distribution assemble a set of participants whose presence activates capabilities the offering would not otherwise deliver, among them earned access, membership, and a resale market that reports the offering's perceived value back to the holder. Remove the participants and those capabilities go inert, exactly as they do when a communication network empties. Discovery operates on functional properties that only sustained use reveals, such as the way a material ages under handling or the way construction becomes legible to the owner over years. Neither mechanism changes the offering as produced.

Scarcity is already accounted for. A need whose solutions are abundant sits lower in a hierarchy than the same need with scarce ones, because an abundant solution makes the need easier to address and shrinks the portion of the overarching need it carries. Holding solutions scarce, by capping production below demand or restricting where the offering can be bought, runs the accessibility channel stated with pricing the other way. The offering as produced is untouched, so the action sits on the need side, and it is the same channel that explains why a low price accelerates the decline in perceived value. Applied continuously, it supports the need's position in the hierarchy against the erosion, at about the rate the force would otherwise lower it.

The two accounts differ in what they predict when the counteraction stops, so the case is decidable. If the exemption belonged to the goods, a vendor that widened distribution and licensed its name broadly would keep the offering's perceived value, the goods being unchanged. The record, where vendors have done exactly that, runs the other way (Thomas, 2007). Wide availability dissolves the set of participants whose presence activated the access capabilities, and it leaves nothing for a new owner to find, so perceived value falls to what the remaining functionality supports. Recovery, where it has been achieved, has run through rebuilding those two mechanisms rather than through changing the goods. The cases in the record are evidence for the force rather than against it, since what looked like a property of the goods disappears when the counteraction behind it is withdrawn.

3.9.4. Increasing returns

Increasing returns describe positive feedback within markets that reinforces early advantage, so that an offering, a technology or a firm that gets ahead can go on to take the market (Arthur, 1989). The formal account is a model of technology adoption, and it makes no claim about what happens to any one offering's value over time. The stronger claim, that markets of this kind run on mechanisms different from the ones the standard account describes, was put to a business readership (Arthur, 1996), and it is that claim the theory has to answer. The account was built with technologies as the objects of choice, and offering, technology, firm and standard are used in it more or less interchangeably. That is a coarse unit, and the coarseness is where the apparent conflict comes from.

Two claims should be separated before the case is answered. One concerns which competitor comes to occupy a position: an early lead compounds, and the market can lock onto one technology or one vendor. Path dependence is an account of that, and the theory takes no position on it, because commoditization is a claim about a business space's perceived value, not about its occupant. A market can lock onto one vendor while the perceived value of what that vendor sells declines, and both accounts hold at once. What needs answering is the second claim, that returns in such markets rise over periods in which the theory says perceived value falls. The answer requires saying first what the returns are returns of.

Where an industry's offerings address steps in a customer process, the sequence of tasks a customer executes to address an overarching need, vendors extend them to cover more of the process. Each extension is matched with a different need, in a different context of neighboring needs, so it does not move the original business space: it creates a second business space, while the perceived value of the first continues to decline. This is the pattern already described for base and derivative offerings, running across a whole industry at once. The number of business spaces inside the industry grows, and it grows toward higher perceived value and higher functional complexity, because each extension addresses more of the customer process and takes more to produce. What rises in such a market is not the perceived value of any offering but the count of business spaces.

What increasing returns reports is a total, and the total hides the business spaces inside it. A business space is an abstract object, read from the transactions: one offering, one shared need-addressing behavior, one profit stream over time. An industry classification is not such an object. It is a unit chosen by convention: as established with the tofmos, it can hold several tofmos, each aggregating its vendors' business spaces, separable only in the transactions. What a vendor collects depends on how many business spaces it holds, not only on each one's yield. Measured at the width of the classification, the returns of all the business spaces inside it are summed. The sum can rise for years while the perceived value of every one of them declines, because new business spaces are created faster than the existing ones thin. Increasing returns is creation plus decline, measured together.

The answer to the stronger claim follows. Returns rise in these markets not because different mechanisms govern them but because the markets are measured during a creation phase, while new business spaces multiply along the customer process. The phase has an end, and this is what the theory adds. Creation of new business spaces along a customer process is finite in a stable environment, because the process is then finite. When one offering covers the whole of it, no further steps remain to be matched, and creation stops. The industry total then follows the declining perceived value of the business spaces inside it, and the integrated offering commoditizes like any other. The prediction is testable: growth of the industry total ends when integration is complete, and what follows is competition for share in a market that has stopped expanding.

The three cases resolve on the apparatus already built, at three different points in it. Network effects are a counteracting mechanism the literature classifies as a property of the network. Luxury is counteraction mistaken for a property of the goods. Increasing returns is no counteraction at all, but creation summed with decline at the width of an industry. None of the three required an addition to the theory, and none weakens the claim stated with the force. Each attributes the observed behavior to something that can be checked on its own: a mechanism with a saturation point, an expenditure that can be withdrawn, or a total that can be taken apart into its business spaces. These are the prominent cases rather than a complete list. Each further one is answerable the same way, or it is a counterexample.

3.10. The ofmos lifecycle

The theory has treated business spaces as standing objects, with the commoditization force acting on them and innovation answering it. Business spaces also begin and end, and both transitions are strategically consequential. Both are read the way the theory reads everything, from the transactions, because an ofmos is an abstract object. A launch is the act that aims at creation: the vendor brings an offering to the market and matches it with a need. But the elements open to the vendor's effort are the offering and the market's perception of it, and neither is the business space. What a launch produces at first is transactions. The ofmos exists once the three constitutive conditions have come to hold together: the offering has found customers who share the same need-addressing behavior relative to it, and their recurring transactions have generated a stream.

Creation is therefore an emergence the vendor initiates and cannot decree. Between the launch and the standing business space lies a period in which the vendor adjusts what it can act on, the offering and the match, and reads the transactions for the pattern. What practitioners call product-market fit is the close of that period: transactions recur rather than merely occur, the need-addressing behavior around the offering proves to be shared, and the stream begins to run. The theory makes the practitioner's term precise. Fit is not a property of the offering, and it is not a milestone the vendor declares. It is the formation of a cluster, and it is present or absent in the recorded transactions before it is visible anywhere else.

A created ofmos lands in one of two situations, and the difference between them is the tofmos. Where other vendors already hold ofmos formed around the same shared need-addressing behavior, the new ofmos enters the existing tofmos, and the two contexts stated with innovation act on it from the start, the force and the competition of the other vendors. Where the offering-market pair is new to the marketplace as a whole, the created ofmos constitutes a new tofmos, and until another vendor enters, the only context acting on it is the force. The second situation is what the strategy literature calls a blue ocean (Kim & Mauborgne, 2005). The theory subsumes it as tofmos creation rather than entry, and derives the impermanence the literature itself reports. Customer learning accumulates from the first transaction, and the tofmos holds a single ofmos only until another vendor enters.

An ofmos ends the way it begins, in the transactions: the cluster stops accumulating. The routes divide by the side of the transaction that gives out. On the vendor's side, the offering can be retired or divested, or the vendor can withdraw from the market it served while keeping the offering. Each route takes away a constitutive condition and deletes the business space. In every case only that vendor's ofmos is deleted, and the tofmos it participated in may persist if other vendors continue to operate their own ofmos within it. On the customers' side, transactions can stop arriving while the offering still stands: rival ofmos take the customers, or the force completes its work and the need is deleted from the customers' hierarchies. A thinning or negative stream does not by itself end the unit, as established with the constitutive conditions. The unit ends when the recurrence ends.

Deletion is not failure. In a marketplace where every offering commoditizes, deleting business spaces belongs to managing a portfolio as much as creating them does. The tofmos follows the same two transitions at its own scale. Constituted from one or more ofmos, it begins with its first: the ofmos that creates a new tofmos creates both objects at once, and no threshold number of vendors is involved. It persists through the turnover of the ofmos it holds, as long as the shared need keeps generating transactions somewhere in the field. And it ends when that stops everywhere at once. Learning can delete the need from its customers' hierarchies, or the societal and technological environment can change, leaving no offering matched with the need.

3.11. Structural dynamics

3.11.1. The commoditization force and the aggregate innovation dynamic

The fundamental structural dynamic of every market is the commoditization force, not competition. The force is generated by the collective learning of customers, and that learning accumulates wherever an offering has customers, whether or not any rival exists. Competition is what happens when several vendors hold ofmos within the same tofmos, each answering the same erosion with strategic actions of its own. It is a consequence of the force acting on a shared business space, not the cause of what that business space exhibits. For a single ofmos, the force lowers the perceived value of the vendor's offering, and the vendor's innovation moves the business space to other combinations of perceived value and functional complexity. For a tofmos, the force pushes the whole field toward lower margins and greater standardization, while the vendors' collective innovation creates new tofmos and transforms existing ones.

The causal order is where the theory meets the strategy literature's most developed account of commoditization. D'Aveni treats commoditization as a product of competition: rivals' successive price-benefit moves erode differentiation and pricing power, and each of the commodity traps he documents is defined by a competitor's action (D'Aveni, 2010). The theory derives the opposite order. The erosion comes from customer learning, which accumulates whether or not rivals act, so the force operates in uncontested markets and continues when rivalry pauses. The two accounts predict differently. Under the competition-driven account, an offering facing no rivals does not commoditize. The theory predicts that it does, at the rate customer knowledge accumulates. Commoditization and intense competition reliably appear together, and the theory says why. A shared tofmos compresses many vendors' answers to the same erosion into direct rivalry, so an account that begins from the rivalry captures the pattern while inverting its cause.

The vendor side of the dynamic aggregates the way the customer side does. For the individual customer, the push of learning toward lower perceived value is real and directional but bounded, because one person's engagement with an offering is finite. The force emerges only when many customers participate in the same business space over time. For the individual vendor, innovation is bounded in the same way: a deliberate action, paid for out of finite resources, within a finite lifespan. When many vendors act across a tofmos and across the economy, each pursuing its own survival and success, each answering the force and the other vendors, the bounded actions aggregate into a sustained, directional dynamic. No vendor intends to advance the economy's frontier of capability. The collective effect of many vendors innovating to survive produces exactly that.

Schumpeter named this dynamic creative destruction: new industries emerging and old ones dissolving, driven by no central plan (Schumpeter, 1942). What the theory adds is the derivation and the pairing. Creative destruction and the commoditization force are the two systemic outcomes of purposeful behavior, as stated with the force: one arises from customers learning, the other from vendors acting. Both are emergent in the way the ofmos itself is. Each depends on how the many bounded contributions are organized across a business space, not on their sum, and each is a property of the system rather than of any actor within it. That bounded individual behavior aggregates into collective outcomes no participant chose is the pattern Schelling made general (Schelling, 1978). For a single vendor, innovation is action. At the scale of the tofmos and the economy, it is a structural dynamic that no participant conducts.

Because a tofmos aggregates the transactions of many vendors and many customers, its course shows the force and the aggregate innovation dynamic with more regularity than any single ofmos. The course of an ofmos carries the decisions of one strategist, and those decisions are idiosyncratic: their timing, the appetite for risk behind them, the state of one portfolio. Aggregated across a tofmos, the idiosyncrasies largely offset, while what the vendors share remains, the same erosion and the same conditions to act on. The exception is rare and already described: a single action can be large enough to restructure a whole tofmos, as open sourcing a highly commoditized base does. In general, the aggregate is the more predictable object, and the individual ofmos the more contingent one.

The force's law-like claim is scoped. In a stable environment, absent innovation, the perceived value of any offering declines. Real environments change. The theory carries that change where it was built in: the anchors of the Collective Continuum, set by the societal and technological environment, move when it changes. The environment influences customers and vendors, and through them the transactions. New technologies, regulatory change, and societal disruptions alter the circumstances customers face and the solutions vendors can bring to market. The need an offering is matched with can come to carry a larger or smaller portion of the overarching need, with no customer unlearning anything about the offering. The offering's perceived value moves with the need, and a match can break, as the lifecycle records. What never reverses is the learning. The force works in one direction while the environment holds still, and resumes from new positions when it moves.

3.11.2. Reading the system from its transactions

What a strategist needs to know follows from this structure. The important information is not the roster of offerings in a market but the state of the business spaces those offerings form. For each business space, that state begins with its two coordinates: the perceived value of the need the offering is matched with, and the functional complexity of the offering. To the coordinates the strategist adds how fast the force is lowering that perceived value, what needs above the matched one other offerings are addressing, and what needs the fragments of the Collective Tree show still unmatched. Every strategic decision, from launching to innovating to reducing perceived value to retiring, is a decision about creating a business space, moving one, or deleting one. On the Ofmos Map the same state is a position and the same decision a movement, read along the dimensions it changes.

The Ofmos Theory of Business is the inference this reading supports. Analyzing the portfolio of ofmos an organization holds, or of tofmos an economy holds, characterizes the entire behavior of that organization or economy over time, at its broadest meaningful resolution. The individual transactions are the raw data. The clusters they form are the patterns, the observable signatures of the abstract business spaces. The portfolio of those business spaces is the system-level description: what is held, where each holding stands on perceived value and functional complexity, and how each stream is running. The description is meaningful because its objects are persistent units rather than raw events, and it is the broadest such description because anything coarser sums the business spaces into totals that hide them, as the increasing-returns case shows. At that resolution, the behavior of a company or an economy becomes legible as strategy rather than as a list of products or industries.

The reading is retrospective, because the object read is abstract. An ofmos is observable in no other form than its transactions, and only the transactions are recorded. Without deliberate action by the vendor, new transactions extend the decline in perceived value that the force produces. The vendor's deliberate actions, innovation in any of its forms, the deliberate reduction of perceived value included, place new transactions at other combinations of perceived value and functional complexity. What the observer reads is the interplay of the two. Whether a repositioning has occurred is therefore confirmable only from the accumulated pattern. A single transaction cannot establish it: one high-value sale can be an outlier, and one low-value sale says nothing about the direction of the whole. The pattern, not the event, is the unit of inference.

The reading runs on records. A transaction is readable by a third party only where it leaves one. The marketplace is fully recorded: money leaves records at scale, and adoption records extend the reading where no money moves, as the open-sourced base showed. Engagement that runs through AI tools is partially recorded: the tools' own analytics record the occurrence, recurrence, and clustering of engagements, the pattern side that identifies the units, while the value of each return is still inferred. The individual's decision-action transactions are unrecorded: they are observable in behavior and to the agent, and the evidence there is observation and the psychology record already cited with the two forms of learning. Where records end, the evidence changes regime. The dynamics do not, because they were derived from the individual's own behavior to begin with: the theory's applicability below the band is direct in mechanism and inferential only in measurement.

The reading also extends across forms that carry the same body of knowledge. Each form whose engagement recurs across a group is a business space at its own position. The presence of the same body of knowledge in an economy is therefore a distribution across the Collective Continuum, read the way any portfolio is read. The individual side does not aggregate that way. The logic taken up lives in each user's own hierarchy, one hierarchy per person, and most of it leaves no record. The reading runs on engagement with the forms, and the rest is inferred, at the resolution the records allow.

This is how an astronomer characterizes a star. The star is not directly accessible. What is accessible is the light it emits, and the spectral signature carried in that light, from which the astronomer infers the star's composition, temperature, age, and course. The correspondence holds by the theory's own definitions. The abstract business spaces, the ofmos and the tofmos, are the stars of the business world. The transactions are the light. The clusters are the spectral signatures. The One-Need Theory and the Ofmos Theory of Business provide the spectroscopy.

3.12. The company as a system of ofmos

A company, in the Ofmos Theory, is a system of ofmos (offering-market cosmos). Each ofmos the company holds is an abstract business space, a unit read from the transactions: one offering, one set of customers sharing the same need-addressing behavior relative to that offering, and one profit stream. The units of the system are not the company's divisions, departments, or product lines. An organizational chart divides people and assets by decision, while the portfolio of ofmos divides the business by behavior: the clusters form in the transactions whether or not the company's structure recognizes them. The reading is consistent with the resource-based view (Wernerfelt, 1984; Barney, 1991) and with the modular view of the firm as loosely coupled units with their own internal dynamics (Sanchez & Mahoney, 1996), and more specific than both: the units are not chosen, and each carries its own matched need, functional complexity, and stream.

The company holds not one business space but many, and the commoditization force acts in every one of them: each ofmos in the company's portfolio has its perceived value eroding and its stream thinning, each on its own schedule. Any one stream can run zero or negative while its space persists, and the deliberate reductions described with innovation show vendors holding spaces there on purpose, a base feeding a derivative, an open base feeding the offerings built on it, a campaign paid for by the streams beside it. No single space, then, can be the unit the company manages for survival, because what sustains one space can sit in another. The portfolio is not a practice imported into the theory from management. It is derived: a company that must survive on streams that individually thin, stop, or run negative can be managed only as the system of its spaces together.

The strategic logic of a company is the logic of managing that portfolio. The state the strategist reads for each business space is the one already defined with the structural dynamics, and the decisions that follow are the derived actions: creating a business space, moving one on perceived value or on functional complexity through the forms of innovation, and deleting one when it consumes more than it contributes to the portfolio. To the single holdings the strategist adds their relations: base business spaces feeding derivatives, streams carrying other streams, and synergy formations, combinations of business spaces that return more together than they return apart. Changing the portfolio in these ways is what the dynamic capabilities framework calls reconfiguration (Teece, Pisano & Shuen, 1997), stated here with its directions and their financial consequences.

The company appears in the theory in two roles, and the account of collectives supplies their connection. As a vendor, it holds business spaces. As a collective, it carries a Collective Hierarchical Tree of Needs under an articulated overarching need. The tree joins the two roles. The company does not act as an abstract entity: its strategic actions, innovation included, are produced by the individuals within it, who hold the adopted needs in their own hierarchies and work through the company's decision-making structures. This is also where the two theories meet. The One-Need Theory originates with the individual, the Ofmos Theory of Business operates at full scope in the company and the economy, and the Collective Tree is the mechanism through which individual goals become organizational strategy.

Two objects summarize what the CEO manages. The Focus is intent: the leadership's interpretation of the company's successful existence, articulated as the needs it intends its offerings to address and the functional complexity it intends to produce at. The articulation is the usual carrier, not a condition. An unarticulated Focus still shows in the company's deliberate actions, the positions taken, the offerings launched, the rivals answered, and is read from them, as the economy's fainter intent is read from the policies carrying it. The Focus's stability is the persistent self-definition organizational identity theory documents as a constraint on strategic choice (Albert & Whetten, 1985).

The Center is the reality: where the company's business spaces stand, taken together, on perceived value and functional complexity, read from the transactions. The commoditization force lowers the perceived value of every business space in the portfolio, so in a stable environment an unadjusted portfolio has its Center drifting toward lower perceived value while the Focus stands. The Center is the portfolio's center of gravity, and it drifts. The CEO's fundamental task is sustaining alignment between Focus and Center by adjusting the portfolio, the organizational form of the individual's task of keeping decisions aligned with their own evolving tree.

Drucker's theory of the business describes the same failure from the assumption side (Drucker, 1994). A company runs on assumptions about its environment, its mission, and the competencies it must excel at. When the assumptions stop fitting reality, the failure takes a specific form: the company keeps doing what its assumptions call for, and the results stop coming. The Ofmos Theory locates that failure in the portfolio. The assumptions are what the Focus expresses. What stops fitting is the relation between that Focus and a Center that the commoditization of every business space in the portfolio keeps drifting toward lower perceived value. The closeness of the two names is worth marking. Drucker's phrase names one company's own assumptions about itself. The Ofmos Theory of Business names the dynamics those assumptions are answering, and derives them from customer learning and vendor response.

3.13. The economy as a portfolio of tofmos

3.13.1. The portfolio and its default direction

An economy, in the Ofmos Theory, is a portfolio of tofmos (total offering-market cosmos). Each tofmos the economy holds is an abstract business space, tied to no single vendor and read from the transactions: one offering, one set of customers sharing the same need-addressing behavior relative to it, and one aggregate profit stream running across every vendor in the field. The units of the portfolio are not industries. An industry classification is drawn by convention and can hold several tofmos, separable only in the transactions, as established with the tofmos and again with increasing returns. The portfolio divides the economy by behavior, the way the company's portfolio of ofmos divides its business by behavior. And the two portfolios describe transactions at two scales of aggregation: a tofmos is constituted from the ofmos of its vendors, so every ofmos a company holds participates in a tofmos the economy holds.

The company's portfolio has a strategist, and so does the economy's, acting on the portfolio through policies and incentives rather than directly on any tofmos. No strategist alone supplies the adjustment. The adjustment is the aggregate innovation dynamic derived with the structural dynamics: many vendors, each managing its own portfolio of ofmos for its own survival and success, together create tofmos and transform them. Creative destruction (Schumpeter, 1942) is the economy's portfolio management, produced by the many vendors together. Seen from the portfolio, every created ofmos lands in one of the two situations stated with the lifecycle. Either a new ofmos is created inside a tofmos the economy already holds, thickening an established business space, or a new tofmos is created, adding a business space the portfolio did not hold. Which of the two the flow of created ofmos favors, absent deliberate effort, sets the portfolio's default direction.

The two routes are not equally demanding, and the difference is already derived. Entering an established tofmos is the lighter act. The need-addressing behavior there is proven to be shared, so the only emergence awaited is the entrant's own ofmos inside a pattern that already holds, and the functional complexity required sits within more vendors' reach, since fewer can produce as complexity rises. Creating a tofmos at higher perceived value is the heavier act. It requires a match with needs opened above the commoditized ones in customers' hierarchies, offerings of greater functional complexity that fewer vendors can build, deliberate effort paid for out of finite resources, and an emergence the vendor initiates and cannot decree. Even deliberate action often runs the lighter way: process innovation moves a business space toward lower functional complexity, and the deliberate reductions of perceived value run with the force rather than against it.

The asymmetry sets the default. The commoditization force lowers the perceived value of every tofmos the economy holds, at no agent's initiative and no expenditure, and does not pause while the environment holds still. The flow of entry thickens the established tofmos and adds nothing at higher perceived value. Without deliberate creation, the portfolio bunches: its tofmos decline in perceived value together, the ofmos inside them multiply where more vendors can produce, and the composition shifts toward lower perceived value and lower functional complexity, where business spaces already outnumber those at higher perceived value and greater functional complexity. Creation at higher perceived value is the counter-flow. Where it outpaces the default, the count of such business spaces rises, as the increasing-returns case showed, and the economy grows. In a stable environment, a portfolio that held its composition with no deliberate creation behind it would count against the claim.

The direction of the default has records outside the theory. The state's share of maturing economies rises over long periods, an observation carrying Wagner's name since the nineteenth century (Wagner, 1883) and measured since (Peacock & Wiseman, 1961). The weight of sectors whose measured productivity stagnates rises as economies grow (Baumol, 1967). The share of national income accruing to capital swings rather than trends, on series assembled back across two centuries for the major economies (Piketty & Zucman, 2014). And Schumpeter read the mature course of capitalism as a movement toward socialism (Schumpeter, 1942). None of the four observes a portfolio of tofmos, and the theory derives none of their outcomes, the institutional and distributive ones least of all. They stand to the bunching as the long-run price paths stand to the force: independent records running in the direction the derivation predicts. What the theory contributes is the mechanism beneath the direction, which is the force and the flow of entry outpacing deliberate creation, and the point at which the direction reverses.

The Center defined for the company reads at this scale as well, from the transactions: where the portfolio's tofmos stand, taken together, on perceived value and functional complexity. That standing is the economy's center of gravity, and the name keeps the analogy stated with the force: under the default, the economy's center of gravity drifts toward lower perceived value, as a company's Center does in an unadjusted portfolio. The intent side carries over differently. The economy's strategist holds an intent of their own, aimed at the portfolio's composition, at preventing or reversing the bunching. But nothing at the convergence end of the gradient is articulated the way a company articulates its Focus, and the intent shows on the Ofmos Map as a broad representation rather than a concentrated area. It is read from the deliberate actions carrying it, policies and incentives that spur creation, and only vendors' attempts produce it.

The reading is done the way the theory reads everything, from the transactions. An economy's totals are sums, and a sum hides its tofmos: a total can rise while every tofmos inside it declines in perceived value, and it can hold still while creation runs beneath it. The balance shows only when the totals are taken apart into the portfolio. The account is scoped as the force is. The anchors of the Collective Continuum are set by the societal and technological environment, and when it changes the frame moves, matches break and form, and the default and the counter-flow resume in the new frame. Within one frame, the portfolio of tofmos is the economy's broadest meaningful description, as stated with the structural dynamics: the rise and decline of industries, units drawn by convention, is the tofmos lifecycle at the scale of the whole, and growth is creation outpacing the default.

3.13.2. The bunching and debunching of the economy

The default and the counter-flow, derived with the portfolio, set a direction and its reversal, and the two do not hold their balance. The default carries the conditions of its own reversal. As the portfolio bunches, the force keeps thinning the streams of the business spaces it holds, and thinning streams compel their vendors to act. The same learning that does the thinning keeps opening room above the commoditized needs, as established with innovation. The two accumulate while the bunching deepens. Where vendors are free to act on them, the accumulated conditions convert into deliberate creation, the counter-flow outpaces the default, and the composition of the portfolio moves toward higher perceived value and higher functional complexity. The created business spaces then commoditize in their turn, and the default regains. The economy alternates: bunching, then debunching, then bunching again. Environmental change can force either turn, as already scoped for the portfolio.

The alternation is not symmetric, because the bunched state deepens itself. In highly commoditized tofmos, where many vendors can produce, the force compresses every margin, and the configurations that survive the compression are the largest. Process innovation and accumulating volume lower the leaders' costs, and prices held low keep entry unrewarding, the limit pricing stated with the deliberate reductions. The tofmos consolidates. Consolidation then weakens the counter-flow at its source, since the vendors best resourced to create are the ones with the least reason to: an incumbent's new offering displaces streams the incumbent already collects, so the incentive to create is weaker for the monopolist than for the competitor (Arrow, 1962). A bunched economy therefore does not merely wait for creation. It weakens the conversion of the accumulated conditions into creation, and the weakening grows as the bunching deepens.

The trap has a designed extreme, and the extreme is where the derivation can be checked. A centrally planned economy forbids the counter-flow outright: no private vendor pursues survival and success through creation, and offerings are held uniform and highly commoditized by design. The force does not pause for the design. Customers keep learning, the matched needs keep moving lower in their hierarchies, and room keeps opening above them. The domain then does the decisive part: the theory reads transactions wherever purposeful behavior produces them, inside the official frame or outside it, as established with the abstract business space. The pursuit the official economy cannot serve generates transactions through unofficial channels, and business-space creation migrates there. The second economy documented across the Soviet system, private production and exchange running alongside the planned economy and often against its law, carries the counter-flow in suppressed form (Grossman, 1977).

The record around that suppressed form runs in the direction the derivation points. Innovation inside the planned system was studied at book length and found weak exactly where the theory expects, on the vendor's side, where enterprises had little to gain from creating (Berliner, 1976). The unofficial channels bred corruption, since what the design forbade could be tolerated for a price (Grossman, 1979). And the standard account of the system's political economy traces the failure to the system's own construction, through to the collapse the century recorded (Kornai, 1992). None of this is derived. The theory stops where its objects stop: the transactions and their migration are the derived part, and the institutions stand as records in the predicted direction. Where the counter-flow is weakened by the default rather than by design, the tendency is the same in kind, and its records are the ones already stated with the portfolio.

A bunched economy has one more route that runs at its own level. A new business space appears wherever the offering-market pair is new, and the pair is new when the market is, as stated with innovation. Extending existing offerings to customers not yet reached is therefore genuine creation, but creation that raises neither perceived value nor functional complexity: it multiplies business spaces at the positions the portfolio already holds. When creation above the commoditized positions lags, expansion of this kind is the growth that remains, so bunched periods and outward expansion tend to arrive together. The economic critique of imperialism recorded the coincidence at the turn of the twentieth century: surplus capital in the mature industries seeking new markets abroad (Hobson, 1902), read into the Marxist canon as the highest stage of capitalism itself (Lenin, 1917). The political content is not derived. The coincidence is.

The two states of the portfolio differ observably, and the difference reads from outside. A bunched economy concentrates: a large share of its returns comes from highly commoditized business spaces, held at scale by few vendors. A debunched economy distributes: creation multiplies business spaces toward higher perceived value and higher functional complexity, held by more vendors, none yet consolidated. An economy alternating between the two shows long swings in growth and concentration, and such swings are on the record: Kondratieff identified waves of roughly half a century across the major economies (Kondratieff, 1925), and Schumpeter tied them to the clustering of innovation (Schumpeter, 1939). The alternation carries no fixed period, and it explains both phases from one mechanism, where the innovation account of the waves explains the upswing and leaves the downswing to absorption. Whether it is the mechanism beneath the recorded waves is a claim the record can test.

3.14. The Ofmos Theory's scope

The Ofmos Theory of Business is a theory of dynamics, not a theory of specific outcomes. What it derives is the two systemic outcomes of purposeful behavior, the commoditization force and the aggregate innovation dynamic, together with the objects they act on and the results built on them. Those results run from the constitutive conditions to the portfolios of the company and the economy and the alternation of bunching and debunching. What actually happens in any given market depends on the customers' learning, the vendors' deliberate actions, the competition among vendors wherever a tofmos holds more than one ofmos, and the state of the societal and technological environment. The domain of the theory is stated as a condition, not as a list of units: the theory describes the dynamics of any system in which transactions occur as needs are addressed, need, goal, and decision being the same thing throughout.

The domain has one genuine boundary, and it sits at the individual end. The theory does not derive the decision. The One-Need Theory does that, and the Ofmos Theory of Business begins where the decision produces consequences, with the decision-action transaction: a decision acted on and returning a result. The transaction is the smallest object the theory reads, and each one is the addressing of a single need. It is raw data rather than a unit, since every unit of the theory is a persistent pattern of transactions over time, as established with the constitutive conditions. The decision-action transactions concentrate where needs are small and short in duration, at the bottom of the tree and below the band, where needs are addressed by action alone. Nothing finer than the transaction is the theory's to explain, and everything built from transactions is.

Every larger object is built from the same material. Transactions form clusters, and the clusters are the observable signatures of abstract business spaces, the theory's general objects, defined by the constitutive conditions, commercial or not. Where the transactions are commercial exchanges, the business spaces are the ofmos and the tofmos, and their portfolios carry the theory at its two working scales, the company as a system of ofmos and the economy as a portfolio of tofmos. The economy names no fixed largest object. It is whatever portfolio of tofmos the analysis takes in, and a wider system is a wider portfolio, read at a broader resolution. The dynamics are the same at every level. What changes with scale is the resolution at which the pattern of transactions is read, and what dissipates as the reading widens is explanatory power, not the presence of the dynamics.

Government policy is not derived by the theory, and it is not invisible to it either. Policy acts on the societal and technological environment, the environment influences customers and vendors, and through them the transactions. On that chain the theory can state where a policy enters its objects without deriving the policy itself. Regulation enters as environmental change, altering what vendors can bring to market and the circumstances in which customers engage those offerings. Monetary policy enters on both sides of the transaction. A change in the cost of capital changes the investment behind offerings, and with it the vendors' deliberate response to the commoditization force. The same change alters the resources customers can commit to addressing needs, and with them which needs are matched with solutions: more resources reach needs of higher perceived value, and fewer confine the matches to needs of lower perceived value.

Trade policy changes who can transact, and with that the membership of business spaces, whose boundaries stay drawn by the behavior itself. Regulatory regimes, geopolitical dynamics, and demographic shifts enter the same way: they move the environment, and through it the customers, the vendors, and the transactions the theory reads. None of them is derived. The theory does not claim to explain policy, politics, or demography from first principles, and it does not need to, because its claims are scoped to the environment those factors produce, as stated with the structural dynamics. What the theory offers instead is the translation: a factor restated as a change in the environment becomes readable, in its effects, in the transactions it alters. Stating what a theory does not derive is part of stating the theory (Whetten, 1989).

In physics, a theory of everything is a single set of principles from which every phenomenon would follow, with nothing further required (Weinberg, 1992). The One-Need Theory and the Ofmos Theory of Business make no claim of that kind. They do not claim that nothing else operates in their domain, and nothing in the apparatus requires their dynamics to operate alone. The claim is presence, not completeness: wherever transactions occur as needs are addressed, the commoditization force and the aggregate innovation dynamic are at work, alongside whatever else is. The presence holds for a single person's recurring decisions, for a company, and for an economy of any breadth. The condition also states where the claim would fail: a system that meets the condition, holds a stable environment, and records transactions showing neither dynamic would count against the theory.

4. Testing the Theories

4.1. The chain of derivation

A natural question for any first-principles theory is what would falsify it (Bacharach, 1989). A theory is falsifiable when it states in advance what evidence would contradict it (Popper, 1959). A theory that rules nothing out can explain anything and predict nothing. A theory that makes testable predictions can be acted on, checked against the world, and trusted for a reason. For the two theories presented here, the answer takes a specific form. The first principles are empirical observations about how living things behave, and every step from them is stated, so each claim along the way is open to contradiction. And because the Ofmos Theory of Business is built on the One-Need Theory of Behavior, the propositions of both test a single chain of derivation. The generality is tested with everything else: the two theories form a general theory of purposeful behavior only if the chain holds. The chain can be written out, claim by claim.

The chain begins with the living thing, one that holds itself together for a finite time, whose activity produces the conditions of its own persistence, and whose resources are limited. Its surroundings do not hold still, because its own activity draws on them and alters them, and the thing itself changes as its store is consumed and its time runs down. From it follow the three drives, the forms its self-maintaining activity takes, and each does a job in the derivation that the others cannot. Perception makes a need resolvable into parts. The drive to make the most of a given amount of resources orders the hierarchy. Memory and response put the hierarchy in time.

From the drives, in human beings, follows the single overarching need. Every pursuit draws on the one finite set of resources the individual's continuation depends on, so what organizes the individual's behavior is a single desired success state, their own interpretation of a successful existence. There is one such need because there is one individual, one continuation, and one set of resources drawn on, and because the competing claims on that one set are settled only against a single measure, the need itself.

From the overarching need follows the Individual Hierarchical Tree of Needs. The need is too complex to be addressed as a whole, so the individual disaggregates it into more specific needs while available solutions generate needs that aggregate upward and reshape the goals they serve, the two directions operating at once. Every node in the resulting hierarchy is at once a need, a goal, and a decision. From a need's position on the Individual Continuum follows its perceived value: a need higher on the continuum carries a larger portion of the overarching need and matters more to the individual. The continuum, carrying that ordering, is the perceived value dimension of the Ofmos Map.

The chain continues into the marketplace. For a need with an existing solution, the economizing drive operates on the individual's accumulating knowledge. A broader need is generated above the original, and the original is pushed lower in the hierarchy. This is the downward push, and it is bounded by any one individual's finite engagement with any one offering. Both epistemic and procedural learning drive the push. A need addressed through a marketplace offering leaves a transaction, so from many individuals' transactions follows the Collective Continuum. On it the transactions cluster, and the clusters are the observable signatures of ofmos (offering-market cosmos) and tofmos (total offering-market cosmos), each constituted by an offering, a shared need-addressing behavior, and a profit stream over time. From many bounded downward pushes in the same business space follows the commoditization force, a property of the space rather than of any individual.

And the response derives from the same drive. Strategizing is the hierarchy's own logic deliberately exercised, and innovation, the vendor's deliberate effort to change one of its business spaces or to create a new one, is that exercise in the marketplace. From many vendors innovating follows the aggregate innovation dynamic.

No link in the chain is exempt from the test. The single overarching need is not assumed, and the observations the derivation starts from are empirical, so the need is open to contradiction like anything else the theory derives, and a refutation lands on the link whose claim it contradicts. The test runs through the propositions the chain generates. Those propositions are specific.

4.2. Six propositions

First, the downward push: sustained engagement with an unchanged solution must clarify the need it addresses and move it lower in the hierarchy. An individual whose accumulating knowledge of a solution left the need's definition and position unchanged would contradict the mechanism.

Second, the retrospective prediction: recall of past goals must be reconstructive, generated by the present hierarchy rather than retrieved from the one that existed. Recall that proved faithful to hierarchies as they existed would contradict the structure said to produce it.

Third, the functional account of blurriness: sharpening higher-level needs must degrade the capacity for rapid reconfiguration by narrowing what the sharpened needs can generate, so precision at the top that carried no such cost would contradict the account.

Fourth, the identification of strategizing: explicit strategizing must exhibit the structure of the disaggregation it takes up, the generation of candidate goals under the guidance of the levels above, selection among them, and the capacity to generate candidates again when circumstances change. Reconfiguration under this structure produces fresh candidates fitted to the current circumstances rather than a return to options considered earlier. Explicit goal-setting that dispensed with the structure, at no cost to the capacity for rapid reconfiguration, would contradict the identity.

Fifth, the commoditization force: in a stable environment, absent innovation, the perceived value of any offering declines, and the decline is observable wherever transactions are recorded over time. A single business space, in a stable environment, whose offering's perceived value held or rose with no deliberate effort behind it would contradict the central claim. The theories predict that no such case will be found, because the force follows from collective learning, and learning accumulates wherever an offering has customers. The prediction is testable, and that is what makes them theories rather than definitions.

Sixth, the origin of the blueprint: everything a need carries about both the needs underneath it and the logic by which they are set must trace to what has been retained and recombined from prior experiences. So a blueprint element that could be shown to arise from no retained experience would contradict the account. The theory predicts none will be found, because a blueprint is built by reactivating and recombining retained material and by no other means, and its errors carry the same signature as its successes, being mis-recombinations of what was retained rather than contents drawn from elsewhere. The mapping of retained logic onto new situations, and its systematic failures, are documented (Gentner, 1983; Gick & Holyoak, 1983).

4.3. Separation from rival architectures

The propositions also separate the theory from rival architectures on which behavior is organized by several partially independent goal hierarchies (Kruglanski et al., 2002), by control systems that compete for behavioral control (Daw, Niv & Dayan, 2005), by multiple simultaneous priors (Friston, 2010), or by a control hierarchy and a motivational hierarchy related by precision (Pezzulo, Rigoli & Friston, 2018).

The architectures are separable by what they predict. The theory predicts that sharpening a need narrows the alternatives the disaggregation beneath it can generate. Because every domain in which the individual acts lies beneath the one overarching need, the upper levels are shared across all of them, and precision imposed on those shared levels degrades reconfiguration in every domain at once. The rival architectures each bound the cost to the structure perturbed. Sharpening one hierarchy among several, or one control system among its competitors, leaves the capacity of the others intact. The test is behavioral. An individual in whom precision imposed at the highest levels produced a loss of adaptive capacity confined to a single domain would contradict the single hierarchy.

The architectures are also separable by a second variable, one the first principles already carry: the individual's time runs down. Because every domain in which the individual acts lies beneath the one overarching need, a change in perceived remaining time changes how much every pursuit counts, in every domain at once and in a common direction. Pursuits that look like separate commitments, a career, a family, a faith, are settled on one measure, and the one variable moves them together. The rival architectures bound the effect as before: several independent tops would each adjust on a schedule of its own, with nothing to coordinate them. An individual whose priorities, as remaining time shortened, shifted in one domain while the others held their prior ordering, or shifted on independent schedules, would contradict the single top.

The record runs in the predicted direction. When remaining time is perceived as limited, through age or events that shorten it, what people choose moves together across unlike domains, from acquiring and expanding toward emotionally meaningful pursuits (Carstensen, Isaacowitz & Charles, 1999). And the choices move when only the perception of time moves: older adults asked to imagine an expansive future shift back toward the younger pattern, and younger adults imagining a shortened future shift the other way, though no time changed (Fung, Carstensen & Lutz, 1999). That rules out time as a mere budget constraining several independent tops: a budget that has not changed moves nothing. The program that documents the shift sorts goals into two classes, one of knowledge and one of emotion. The theory reads the same record as one hierarchy under one variable: how much each pursuit counts, moving together, because every pursuit lies beneath the one need.

4.4. The theories in their own domains

A constraint on testing follows from the theory itself. Because recall of past goals is reconstructive, self-report cannot serve as the primary evidence: the reported hierarchy is a product of the present one. Reports about present goals are ruled out on separate grounds, since putting a need into words sharpens it and what gets reported is the sharpened version. The tests must be run on behavior observed over time. The Ofmos Theory's predictions meet the constraint by construction, since transactions are recorded behavior.

The theories fall inside their own domains. Reading them, taking them up, and acting on them are need-addressing behavior, and the transactions that behavior produces are the kind the theories read. A body of knowledge is engaged only through a form that carries it into use: this paper is one form, and the framework and the games are others. What the theories supply is logic, the kind of thing a need contains as its blueprint, part of the need itself. A theory on its own is therefore not a solution to any need, and the theories enter transactions only as part of solutions. That holds before anything is chosen as well: candidates are weighed as scenarios of pursuit, and a scenario carries its solutions with it, fully or partially.

The needs the theories serve can stand at any height. The height is not fixed by the theories: it depends on the person taking them up, on how much of that person's own pursuits the logic usefully covers. The forms of explanation stand in an ordering, from lists to theories, and a form that explains more covers more of a person's circumstances, so it can serve needs that stand higher. A general theory of purposeful behavior can therefore serve needs high in a reader's own hierarchy, entering as anything does that arrives socially rather than being built from scratch (Boyd & Richerson, 1985; Henrich, 2016). As established with the hierarchy's construction, the higher a need stands, the less of it another party can supply, by degrees, and the selection is always the individual's own. Perceived value is read from engagement with the forms, whether or not money changes hands. Taking the logic up for one's own pursuits is a further deliberate act, and understanding does not require that step.

The theories also describe how they are received. Most people who never take them up are refusing nothing: the logic serves no need of theirs better than what they already carry, and without that fit there is nothing to take up. Others engage a form, understand the theories, and take nothing further, because the understanding served a purpose of their own. That too is ordinary. A third case is the reader for whom the theories run against ways already settled. Ignoring them is then ordinarily the best fit, the choice the theory already describes for information that goes against the ways a person lives by. That choice, not to seek or use what is available, is deliberate ignorance (Hertwig & Engel, 2016), and the record shows the choice is common (Golman, Hagmann & Loewenstein, 2017).

The forms that carry the theories are ordinary offerings, and the ordinary dynamics apply to them. Where engagement with a form recurs across a group, that form is a business space, and the commoditization force acts on each space on its own schedule. Several forms are several business spaces, and together they are read as a portfolio. Inside a user's hierarchy, the contribution the logic makes erodes slowly. The needs a comprehensive logic tends to serve stand high, and needs of that height are addressed over long stretches rather than reached at a moment (Simon, 1962; Koechlin & Summerfield, 2007). What erodes is the contribution of engaging a form, never the standing of what the theories say. Reception in either direction is no evidence about that standing: taking the theories up does not confirm them, and ignoring them does not count against them. They stand or fall on the propositions.

4.5. Open questions and stage of development

What remains open is equally specific. The hierarchy is described structurally but not yet quantified: metrics for a need's position and distance from the overarching need, and for the rates and triggers of the aggregation-disaggregation process, remain to be developed. The collective agent's hierarchy is characterized as simplified, more stable, and more rigid than any individual's. The degree of each, and the way organizational procedures implement the disaggregation, remain to be established. And the participation of AI in the construction of human hierarchies is accommodated structurally, but its empirical questions are open: how far that participation reaches in practice, and over what time scales the cost of surrendering the construction of higher-level needs manifests. These questions are among the most consequential the theory raises.

The theories are at a stage of development where the logical architecture is complete, the core predictions are specific and testable, and the connection to major existing strategy frameworks has been made explicit. The mathematical formalization remains to be developed: quantifying the dynamics of the continuum, the clustering thresholds that define the boundaries of the theory's key analytical units, and the interaction between the two systemic outcomes of purposeful behavior. Those outcomes are the commoditization force, arising from the collective learning of many customers, and the aggregate innovation dynamic, arising from the collective strategic actions of many vendors pursuing their own survival. This is the natural next stage, and it is one area where modern data science and computational methods can advance the theory's practical applicability.

Two principal developments build on the foundational theories. The Five Business Big Pictures framework turns the theories into a five-level model of strategic agency, identifying the levels at which an individual can act and the formula for success at each level. The OFMOS® family of games and simulations turns the theories' analytical architecture into a playable simplification, where the dynamics the theories describe become things the strategist participates in rather than only reads about. The framework and the games are parallel developments on the same theoretical foundation: neither is derivative of the other, and either can be used without the other. Both draw on the same apparatus: the Ofmos Map, the derived actions, and the commoditization force. Combined with facilitated learning, the two give a repeatable way to build strategy capability.

5. How the Theories Power the Five Business Big Pictures Strategy Framework

5.1. The framework as a model of strategic agency

Built on both the One-Need Theory of Behavior and the Ofmos Theory of Business, the strategy framework The Five Business Big Pictures is a model of strategic agency. The theories explain how systems behave, looking at each system from the outside. The framework identifies the levels at which an individual can act, looking from inside the system, through the eyes of a person furthering their pursuit of successful existence. Both use the same apparatus. The reference system is the Ofmos Map, whose dimensions keep their identity at every level: the continuum of needs, read as perceived value, and what addressing the need requires. The dynamics are the commoditization force and the aggregate innovation dynamic, the same at every level, as stated with the theory's scope. And the five levels of behavioral organization are shared, with the theories serving understanding and the framework serving action.

The forms the dimensions take follow the level. At the Product, Company, and Economy Levels, agency is exercised in the marketplace. The continuum there takes its collective form, the Collective Continuum: constructed from transactions, extending over the band where needs meet commercial offerings, its ends at the anchors the environment sets. At the Individual Level and the Augmenting Technology Level, agency is exercised over a single person's pursuit, and the continuum is that person's Individual Continuum. It runs the whole tree, and below the band the more immediate goals are addressed by action alone. Perceived value is read there from a need's position on the continuum and the portion of the overarching need it carries. The other dimension follows the level too: functional complexity at the three marketplace levels, and cognitive effort, what executing the action demands of the person (Kahneman, 1973), at the two individual ones.

The frame of the Map follows the level the same way, drawn to the scope in view, as established with the Map as analytical tool. Each level fixes the region the strategist reads and acts in. At the Individual Level the frame closes to the smallest goals at the bottom of the tree, mostly below the band. As the levels rise, the frame widens, up to the full band of perceived value and the full range of functional complexity at the Economy Level. Within a level, the frame narrows further to the object in view, and only the frame moves. The dimensions keep their identity throughout, in the form the level requires. The level is therefore the first drawing of the frame, and the object of analysis is the second.

The framework is organized around strategic agency: human agency (Bandura, 2001) in one's strategizing. In everyday terms, strategic agency is strategic thinking. At each level, the strategist is the CEO of one entity, a metaphor for agency rather than a job title. The entity is an instrument the strategist wields, an extension of themselves through which they act on the world. The extension is cumulative: a wider instrument does not replace the narrower ones, and the strategist directing a company is still acting through their own body, their technology, and their business and economic endeavors. Each entity includes the wielding of those beneath it, and the inclusion is one of use, not of parts: no tool contains its user, and no product contains the tools behind it. The chain of instruments ends at the mind, the one thing that is never wielded, which is why the center of every level is the mind. What accumulates is the wielding alone; the levels' readings do not accumulate, and each still exposes what the level below cannot.

The same entity carries a second description, and the framework needs both. From inside, the entity is the instrument, wielded toward the pursuit. Read from its transactions, the entity is its portfolio of the level's units: an individual is read as the portfolio of their routines, a company as the portfolio of its ofmos, one object under two descriptions at every level. The portfolio carries everything the theory tracks of the entity, and what supports it, the body and capacities of a person, the people and assets of a company, is inferred from the portfolio's behavior rather than tracked. The identity is a finding, not a definition: whether an entity's transactions settle into persistent units is read from the record, and where they settle into none, there is nothing at that level to manage.

Whether the entity is itself an agent does not enter this structure. An individual is an agent and a company is a collective one; the augmenting technology owns no needs, an offering owns no need, and no leadership articulates an overarching need for an economy. The framework's machinery is nevertheless the same across all five, because it runs on the entity's role and not on its nature. Being an instrument is a relation to the strategist who wields it. Being an agent is a property an entity has or lacks on its own. The wielding, the portfolio, and the formula for success use only the relation. Nothing in the framework leans on the entity being an agent, so nothing in it breaks where the entity is not one, and that is what lets five entities of different kinds stand in one progression.

Two questions locate any object a strategist might take up, at every level. How short is the cycle from action to return; and how much of what the strategist intends survives, through it, to the end the action is for. The first lengthens with each level outward: the goal-action-return cycle runs from returns felt at once at the Individual Level to returns read over years at the Economy Level, so the revision tempo of each portfolio follows its level. The second is read from the return, since the only evidence of what arrived is what came back. What does not transmit is not loss to be engineered away; it is the entity's behavior of its own, the very thing the strategist reads. None of this constitutes the objects, which stand, and would be read from transactions, with no strategist in view; it describes the strategist's relation to them, which is the framework's own subject.

The two questions share a mechanism, and it is the chain of instruments itself. Every layer the extension adds is a step the intent passes through on the way out and the return passes through on the way back. Each step takes something of its own: a tool runs only what was stated to it, other agents act from trees of their own, a collective puts many hands between the direction and the doing, and the aggregate answers to no one. Each step also takes time, so the chain that thins the intent lengthens the cycle, and the wider object's patterns, needing more transactions over longer periods to show, lengthen it further. The two questions are therefore one measurement taken twice: the count of steps a pursuit runs through, read once as duration and once as survival of the intent.

The role holds at every level. However wide the scope, a strategist stands in it. From an individual managing their own routines to whoever holds the policy intent for an economy, the CEO metaphor names the same agent. What fades as the scope widens is the sharpness of the role, not its existence. The Map, its dimensions, and the derived actions are the same throughout. What the strategist aims to sustain at their level, the framework names the formula for success. Each level carries a baseline form of it, following from the theories' dynamics rather than from anything particular to one strategist's situation, and the level subsections name these baselines. The strategist's own formula for success builds on the baseline: specific circumstances can demand action sequences of their own, even a temporary departure from the baseline state, chosen for a reason.

5.2. The five levels of strategic agency

The agency is every person's: every individual is a strategist. Every need is also a goal and a decision: a need is addressed by selecting among the candidate goals generated for it, and selection is deliberate, in the smallest routine as much as in a company's direction. So the agent's purposeful behavior is deliberate through and through, and the logic a person's higher-level needs hold over the needs beneath them is already the logic strategizing runs on. Everyone carries that logic and exercises it in every pursuit, whether it is attended to or not. What the framework adds is attention and explicitness: five levels at which the one logic operates, named and ordered so that what every person already does can be seen, examined, and improved.

The five levels can be read in more than one way, and the readings are equivalent: each describes the same ordering from a different side. The levels are levels of reality, because what each level holds is real in the way the theories admit anything to be real. They are levels of organization of purposeful behavior, because one generating process runs through all five, organized differently at each. They are levels of complexity, because what is organized grows strictly larger from each level to the next. And, at all five, they are levels of organization of economic activity: business in the widened sense is the transactional form of purposeful behavior, and the transactions at the first two levels involve no second party, no money, and no record. The four readings are one structure, and holding them together is part of what the framework offers as a model of strategic agency.

Read any of these ways, a level is not a resolution. A resolution is chosen; a level is found. Within a level, reading the transactions coarser or finer changes how much detail the same objects show. Between levels, either the objects themselves change or the reading that brings them under management does, and the five levels sit where one of those two things happens. A level therefore earns its place by exposing something the level below cannot, and a level that exposed nothing new would not be a level: it would be a resolution setting inside its neighbor.

The exposure comes in two modes, and stating which mode holds at which joint is part of the claim. At some joints a new object appears. The tofmos pools the transactions of every vendor at once, and the state it carries, the bunching or dispersion of a whole field, exists in no company's records. At other joints the objects stand and the reading changes. The Company Level works with the same business spaces the Product Level held, and what changes is that the market side stops being a given and becomes a variable, and with it the company's intent and its reality, the Focus and the Center, come into view.

The joints also say why the levels stop at five. Each joint adds a new relation in which something carries the strategist's intent: the person's own body, then technology that executes without owning any need, then other agents met in a market, then a collective the strategist directs, then the aggregate that no one directs. A sixth level would need a sixth relation, and the natural candidates resolve into these. Handing work to another person is a purchase in a market or a direction given inside a collective. An industry is a frame drawn within the Economy Level, not a level of its own. The completeness is a claim, not a convention of exposition: a relation found to fit none of the five would count against the framework's shape, exactly as a level that exposed nothing new would.

The levels are levels of reality in the only sense the theories admit for any of their objects. An ofmos is real because the clustering that constitutes it is present in the recorded transactions before any analyst arrives, and the same holds for every level's units: each level's objects are the persistent, emergent units the theory defines, read from transactions rather than drawn by convention, which is what makes the levels more than levels of description. At each level of organization of purposeful behavior, new properties emerge that the level below does not have and that cannot be worked out from it (Anderson, 1972). Chemistry is not an abbreviation of physics: its objects are real and its regularities are its own, and each science is at once a vocabulary and a level of reality. The readings individuate the levels, and the transactions validate the readings.

The emergence runs at two grades, and both are emergence in the same sense: persistence from recurrence rather than stipulation. At the first two levels the units form in a single stream. A routine is a unit from its recurrence alone, and no one decides it into existence. From the Product Level up the units form across many agents at once: an ofmos is the clustering of many customers' transactions on a shared need, and no strategist could draw it by decision even in principle. What differs between the grades is how many streams the pattern takes, not what makes it a unit. And the levels are kinds, not one person's ladder: every agent carries the same progression of instruments, and each level's picture reads a whole society's transactions of that kind, from everyone's routines to the one economy they share.

The ordering of the five is an ordering of complexity, in one stated sense. A higher level holds every member's full hierarchy and the transactions among them besides, so the organization it describes is strictly larger, and its patterns take more transactions, over wider scope and longer periods, to show. What thins as the levels rise is a different quantity: the shared, articulated part of the goal structure, the collective tree fading along the gradient, as established with the Collective Tree. The two run in opposite directions and are not the same measurement. Nor is this the functional complexity of the Ofmos Map, which is a property of one offering as produced; what grows from level to level is the organization of the behavior itself.

What the five order, throughout, is purposeful behavior: one generating process, organized differently at each level, alone, through technology, through offerings and their markets, through the company, through the economy. That is what makes each level a level of organization of purposeful behavior. The same organization is economic activity at every level, because exchange is level-general: at the first two levels the transactions are decision-action transactions, and in the marketplace they are commercial. The Ofmos Theory of Business reads that activity throughout, and the marketplace, where the transactions are recorded, is where it shows most fully.

From inside, each level is a capability: an instrument wielded with the mind at the center. The first instrument available to the mind is the person themselves. The body acts, and the return arrives at once. As an individual's tree broadens, and with it the model of the world embedded in it, higher-level needs form that no direct action answers, and larger instruments come within reach: the augmenting technology one step out from the body, then offerings in a market, then the company, then the economy. The levels are ordered by that reach, which is why the goal-action-return cycle lengthens with each level outward.

Two more orderings run with the reach. With each level outward, more stands between the strategist and the result, and what is realized is less and less what was intended, as established with the collective agent. The needs a strategist addresses through a wider instrument also tend to stand higher in the strategist's own tree. A wider instrument runs on a longer cycle, needs whose returns take longer stand higher in the tree, and so the two rise together. Each level's language, the stated and shared part of its logic, supplies the means of working those higher needs down, and that logic is the strategist's to exercise. At every level, then, the strategist is the CEO of one entity. What changes from one level to the next is how long the cycle runs, how much of the intent survives it, and how high the addressed need stands.

In principle the regularities of any level could be traced through the constituents beneath it. In practice the tracing grows ruinously inefficient as scope and period widen: waves are poorly explained through molecules (Anderson, 1972). Describing the levels separately is therefore not a convenience of exposition but the economical description the subject matter demands. Each level's description is the best fit for its own objects over its own characteristic period. And persistent hierarchies form from stable subassemblies combining into stable wholes (Simon, 1962), so the levels are not sealed compartments: each shades into the next, and experienced strategists move between them fluidly.

Lower levels are not managed simultaneously. They are foundations that have been internalized, and the theory says how: procedural learning consolidates what recurs under superordinate needs, engaged as wholes while their constituents no longer claim attention, as established with the two forms of learning. A strategist operating at one level runs on consolidations built at the levels beneath it. In learning, each level is addressed one at a time, and the theories power each one differently.

The five level names are built on one principle: each level is named for the layer its instrument adds. The Individual Level is named for the person, because it is the one level at which what is wielded is the person's own pursuit entire. The Product Level, the Company Level, and the Economy Level take the names everyday language already supplies for what the strategist manages there: the product, the company, and the economy. The second level has no everyday name to take, and the gap is structural rather than lexical. Its layer is not a self-standing thing society names, but technology in a role, the role of extending what one person can hold and carry out. Augmenting Technology names that role and no composite agent: at every level the agent is the person, the technology augments the person's capacity and never owns the need, and a tool that runs on its own is running a decision the person holds.

5.3. Strategizing at the Individual Level

At the Individual Level, the strategist is managing their own routines: the patterns of decision and action that recur in their pursuit. Need, goal, and decision are the same thing in this theory, and decision names the thing decided rather than the act of deciding (Simon, 1947). Decision is also the register the routines are read in, because the goals in view sit below the band: no offering addresses them, and the strategist addresses them by acting on the environment, one decision at a time. The acting is the person's own: the center is the mind, and the person themselves, body and capacities, is the first instrument it works through. The One-Need Theory is the direct subject here. The hierarchical structure of needs, the continuum that orders it, and the learning that keeps reorganizing both are met in the strategist's own behavior, not in any market.

The decisions in view at this level are small and short in duration: goals at the bottom of the tree, beneath the needs any offering addresses, and addressed by action alone. A walker on the way to a destination reaches a creek and jumps it. That is one complete decision-action transaction. Getting across is the need, the jump is its solution, and the cycle closes in its return, a small contribution to successful existence: the walker is across, and the destination is nearer. Jumped once, on one walk, the crossing is raw data, a single transaction and nothing more. On a route walked day after day, the same crossing recurs, and what recurs forms a routine, the smallest of the abstract business spaces, with a success-point stream of its own.

Small and short describes what the frame collects, not what the level holds. The strategist's tree carries needs of every duration, from an errand to a pursuit that runs for decades, and every one of them is held at this level, in one person's hands. A pursuit of years does not leave the tree as it lengthens. It advances through the short decisions set beneath it, one crossing at a time, and the walker's creek and the decades-long pursuit are decisions in the same sense, owned by the same strategist. The frame closes to the short ones because that is where action recurs, and what recurs is what the level's routines are made of. Duration says where a need falls relative to the frame, not whether the level holds it.

The Ofmos Map applies here with its dimensions read for a single person. The vertical dimension is the strategist's own Individual Continuum: a decision's perceived value is read from the position of the need it addresses and the portion of the overarching need that need carries. The horizontal dimension is cognitive effort, what executing the action demands of the person. It is a magnitude, not the divide between fast and slow thinking (Kahneman, 2011). A position belongs to the need-solution pair, the solution being the strategist's own action, so every deliberate action has a place on the Map. Nothing at this level leaves a record: the decision-action transactions are observable in behavior, and to the strategist most of all, but they are recorded nowhere. The theory's evidence here is observation and the psychology record, and the dynamics lose nothing: they were derived at this level in the first place.

The dynamics are the theory's own, at their smallest scale. The returns a routine accumulates form a success-point stream, the individual counterpart of the profit stream, and like a profit stream it can run negative. Epistemic learning deepens the strategist's understanding of how the world works, procedural learning consolidates decisions that recur together under a superordinate need, and both push the needs the routines address lower in the hierarchy, which thins the streams. After a consolidation, execution feels more fluent, and the fluency is real (Shiffrin & Schneider, 1977). It comes from the focus shifting to the higher need, engaged as one whole, not from any decision costing less cognitive effort, as established with the two forms of learning. The strategist therefore grows more fluent in decisions whose perceived value keeps falling.

Innovation answers the erosion at this level as at every other: the strategist reconfigures the components of a routine so that it addresses a higher-level need, as established with innovation. What separates this from procedural learning is not deliberateness, because every engagement of a habit is itself a selection, but whether an act changed the solution or how it is engaged. Adopting a tool or a method is innovation, and it remains innovation once its use has become automatic, because the deliberate act came first. A habit that settled through repetition alone (James, 1890) is procedural learning. The strategy literature has long observed that strategies can emerge as patterns in streams of decisions, formed without prior design (Mintzberg, 1978). The theory accepts the observation and classifies it: each decision in the stream is deliberate, and the pattern is consolidation where no act changed a solution, the strategist's own reconfiguration where one did.

The instrument the strategist wields here is the routine portfolio: the routines of one pursuit held as one holding, the related routines associated with a project or an endeavor. Its transactions are the decision-action transactions themselves, observable in behavior, to the strategist most of all, and recorded nowhere. The strategist therefore reads this instrument the way the theory reads every instrument, from what it does, with no records in between. And what supports its activity is mostly the strategist: the capacities and habits the pursuit runs on stand behind the portfolio the way a company's people and procedures stand behind its business spaces, inferred from the decisions they carry rather than tracked in their own right.

The portfolio has a natural course of its own, and it runs downward. Every stream in it thins as the strategist's own learning accumulates, so with no deliberate action the portfolio's center of gravity drifts toward lower perceived value, the individual counterpart of the unadjusted company portfolio. The strategist meanwhile grows more fluent along the way, and the fluency conceals the settling: practiced competence concentrates exactly where perceived value thins. What answers the course is an intent that aims above it. A higher aim generates candidate goals the current habits cannot yet meet, and the misses this produces send the strategist back up the tree, revisiting and refining the logics the higher needs carry. Those logics are the individual's model of the world, so the same aim that resists the settling keeps the model current.

The Individual Level's baseline formula for success is Routine Portfolio Synergy: the portfolio of routines held in deliberate coordination, routines close in perceived value and sharing what their execution requires, returning more together than they return apart. It applies to every individual, because every routine commoditizes on its own schedule, so the coordination is sustained deliberately or not at all. What emerges, once the level is internalized, is the need structure beneath every strategic decision. Every higher level runs on that foundation.

5.4. Strategizing at the Augmenting Technology Level

At the Augmenting Technology Level, the strategist is managing tool routines: the recurring work their technology executes on its own. The agent is still the person, and the center is still the mind. A tool enters the reading through the strategist's own cognition, as a mechanism taking part in how needs, goals, and decisions are created and addressed (Engelbart, 1962; Licklider, 1960; Clark & Chalmers, 1998), an extension of the mind and never a second agent. Technology has taken part in that cognition for as long as tools have existed, and AI is its current pinnacle, the first technology that not only executes what was decided but generates candidates to decide among. What runs at this level today is therefore human-AI cooperation, with ownership and selection staying the strategist's. The dimensions stay the individual ones: the strategist's own Individual Continuum, and cognitive effort. A tool has two readings, and only one belongs to this level. For its user, the tool is part of how decisions are created and executed. Offered to others, the same tool is an offering with a market of its own, an abstract business space read at the marketplace levels.

The tool has a locus of its own on the strategist's Map. Adopting a tool and putting it to use creates an abstract business space: the strategist's engagements with the tool recur, and the recurring engagement forms a tool routine, a repeat action the tool executes on its own as the solution to a repeat decision the person holds. The same act moves the decisions the tool serves. Adoption is deliberate, it reconfigures how each served decision is executed, and it lowers the effort their execution demands, as established with innovation. What practice adds is consolidation: the operating decisions a tool brings with it, prompting it, checking what it returns, settle under one superordinate whole, and the whole carries a smaller effort of its own from the moment it forms. Repetition alone moves no position. Deletion is as deliberate as adoption: a tool whose fit has decayed is retired, and the business space ends where it began, in the transactions.

The level's records sit between the marketplace and the individual case, and they are records of the transactions, not of the tool. An AI tool logs engagement: that it occurred, that it recurs, how it clusters. That is the pattern side the units are made of, and a tool routine shows itself in the tool's own records, sharper than observation alone provides. What the records do not carry is the return: the value a decision contributes to successful existence is inferred there as everywhere. And the tool's inner workings stay closed: how it arrived at what it returned is not readable in the records, in part not even to its vendor. Access to the records sits with the user and the vendor. The reading therefore runs partly on records here, fully in the marketplace, not at all below the band, and the dynamics are unchanged by where the records stop.

The instrument the strategist wields here is the tool routine portfolio: the tool routines of one pursuit held as one holding. A tool routine is a repeat action the tool executes on its own, and it forms where a repeat decision the person holds has the tool's run as its solution. The need's owner is always the person, and the tool only executes. Membership is accordingly a property of the routine, not of the tool, read at the grain of the decision it forms around: the same tool can sit inside the routines of the Individual Level, where the person acts with it, and run tool routines here, where its run is the solution itself. And what supports the portfolio's activity is inferred, as at every level: the tools, their configuration, and the connections among them stand behind the tool routines the way the person's capacities stand behind the routine portfolio, read from the engagements they carry rather than tracked in their own right.

Tools differ in how far they take part. One run only executes, another also generates candidates the strategist would not have generated unaided, and the difference is genuinely a gradient rather than a dichotomy, with no line drawn across it. The gradient runs within the level: however little of the generating a tool carries, the routines it executes stay tool routines, and however much it carries, the selection stays the strategist's. Where a particular tool falls is read from what it does, not from what it is called.

The Augmenting Technology Level's baseline formula for success is Tool Routine Portfolio Synergy: the tool routine portfolio held in synergy formations, tool routines combined so that they return more together than they return apart (Milgrom & Roberts, 1990). Every tool was adopted for a fit, a need at some height. The tree keeps being rebuilt by learning, the needs a tool was fitted to are pushed lower, and the tool's contribution sinks with them. A formation built from such parts does not hold on its own. Sustaining it is deliberate and ongoing: tools are adopted, combined, reconfigured, and retired as the tree evolves. It applies to every strategist working with tools, because every tree evolves and every fit decays. Read from the routines, the same coordination is Routine Portfolio Synergy, the Individual Level's formula: the same state and the same surplus, with the strategist and the tools working as one system (Hutchins, 1995).

What a tool is inside does not enter the reading. The theory reads the fit between a need and its solution, and the addressing happens wherever the fit is good, whatever kind of intelligence produces it. A served need also brings its subtree: a tool that serves the need serves the smaller goals beneath it, engaged as parts of the whole. And the height of the served need is not fixed. A tool can come to serve several needs at once, and in time the superordinate need that contains them. The ascent takes nothing from the strategist's agency. Addressing still runs through engagement, and engaging the tool at the higher level is an adoption like the first, one the strategist makes or refuses. What grows is how much of the tree the strategist can hand to the tool. What is handed over remains the strategist's choice.

A tool can assist at one level while the assistance is coordinated by a higher-level logic of its own, unseen by the strategist. Each accepted suggestion is the strategist's decision, but the acceptances can aggregate toward a superordinate need that is not the strategist's, and there a tool presses on agency. One defense is attention: strategizing made explicit gives the strategist a higher-level logic of their own, against which a foreign pattern shows. And the demand rises with capability: the more of the tree a tool takes part in, the more explicit the strategizing must be, so AI's development surfaces the need for strategizing rather than easing it. The other sits in the records. A tool reads the strategist only through the transactions it mediates, and those records never carry perceived value, the quantity the hierarchy is organized by. Wider use narrows what the records miss, but it does not change what they can carry. A foreign logic assembled from that partial reading diverges from the tree it would steer, because the tree keeps being rebuilt by the whole of the strategist's lived experience.

What emerges at this level is the solution side of the strategist's own behavior as an object of management. At the Individual Level, the one executing a routine is the person, and nothing about the executing can be managed apart from them. Here the executing is the tool's, and what serves as a need's solution becomes a variable in its own right, worked deliberately: adopted where the fit is good, retired where the fit has decayed. At the marketplace levels the same management returns turned outward, with the solutions serving other people's needs.

5.5. Strategizing at the Product Level

At the Product Level, the strategist is managing products. The dynamics of learning and the erosion of perceived value, which at the Augmenting Technology Level are experienced partly as individual phenomena, now manifest as the collective dynamics the Ofmos Theory identifies. Commoditization operates as a sustained directional force generated by the collective learning of many customers, and innovation as the vendors' deliberate answer: creating an abstract business space, or moving one on perceived value or on functional complexity. The center is still the mind: the dynamics are collective, and every answer to them is a strategist's own. The AI tools of the Augmenting Technology Level show the shift in one object: the tool a strategist uses is, from the vendor's side, a product among products, one object under two readings, and this level takes the vendor's reading of it.

The framework applies the Ofmos Simplification Principle at this level: each product is paired with its own unique market, and the market side is held as given. The principle earns its place here because it matches how most people encounter business in the first place: locally, inside one community, where every product on offer is known to everyone and what customers learn about a product spreads through the whole community at once. In a setting like that, each product forms a single business space, so pointing at the product is enough to pick out the space it forms with its market. The strategist can therefore think entirely in products, which is the familiar picture, while everything the products do, commoditizing, being repositioned, feeding the portfolio, is already the behavior of business spaces.

The instrument the strategist wields here is the product portfolio: a local diversified business, or a vertical-specific portfolio of products inside a larger corporation. Under the principle the instrument needs no name of its own, because each product names the business space it forms with its market, so the portfolio of products is exactly the portfolio of business spaces, read with the market side held as given. What supports the portfolio's activity, the operations, the capabilities, the organization around the products, is inferred from the transactions the products generate, as everywhere. And the two examples mark the same instrument at two positions: a portfolio can stand as a business of its own or sit inside a larger company's holdings, because stable wholes are built of stable parts and the levels shade into one another.

Under the principle, the portfolio dynamics, the commoditization force, and the strategic logic of innovation are all engaged before the ofmos (offering-market cosmos) comes into view as the explicit unit of analysis, the step taken at the Company Level. What emerges is the ability to see and manage a portfolio as a system: to read synergies, competitive interactions, and lifecycle patterns that are invisible when products are considered one at a time. The Product Level's baseline formula for success is Product Portfolio Synergy: a portfolio held in synergy formations, combinations of products that return more together than they return apart. It applies to every product portfolio, because every product in it commoditizes on its own schedule: the combinations do not hold on their own, and they are sustained only by deliberate formation and re-formation as the products move.

5.6. Strategizing at the Company Level

At the Company Level, the Ofmos Simplification Principle is lifted: the market side stops being a given, and the business spaces are the same ones the products named, now read whole. The strategist is managing ofmos (offering-market cosmos): abstract business spaces, each defined by an offering, a market of customers who address the same need with it in the same way, and the profit stream generated over time. The strategist reads the state of each business space, acts through the derived actions, and manages their relations, synergy formations among them. What emerges is a strategic logic no single product decision contains, controlled and maintained from the top by the strategist: the profit streams of the company's business spaces thin at different times, and what keeps one space going can come from another.

The instrument the strategist wields here is the company. In the theory a company is the system of its ofmos, so the portfolio and the company are one object under two descriptions. The company carries the inferred whole, the people, the assets, the procedures through which the strategist's agency runs. The portfolio carries everything the theory tracks of it. The company's activity is read from the transactions its business spaces generate, and an organizational chart, dividing people and assets by decision, describes the inferred side rather than the tracked one. The wielder-and-component standing is at its sharpest here: the strategist stands outside the company as its reader, and inside it as the chief of the parts the reading infers, showing in the transactions their agency places. The center is still the mind: many people carry out the company's actions, but the reading and the direction are one strategist's.

The Ofmos Theory predicts a specific dynamic at this level. Every company carries a Focus, the intent side: the leadership's reading of what the company's successful existence requires, stated as the needs its offerings are to address and the functional complexity it is to produce at, an intended area on the Ofmos Map. The Focus tends to be stable, reflecting the company's identity and strategic intent. Against it stands the Center, the reality side: where the portfolio as a whole stands on perceived value and functional complexity, its center of gravity, read from the transactions. The Center moves on both dimensions as the company acts, but the only non-deliberate movement is on perceived value: because every ofmos commoditizes, in a stable environment an unadjusted portfolio has its Center drifting toward lower perceived value while the Focus stands.

Sustained alignment between Focus and Center, Ofmos Portfolio Alignment, is the Company Level's baseline formula for success. It applies to every company, because the commoditization force acts on every ofmos in every portfolio. It is a long-term state that holds only through ongoing adjustment: the force keeps lowering every business space's perceived value, and the Center drifts whenever adjustment pauses. The company can act on either side of the relation. It can take the portfolio out of alignment for a time, answering a rival, and recover it later. And it can revise the Focus itself, when the leadership's understanding of its world changes. What the formula names is the state sustained across such episodes. Misalignment the company chooses, for a period and for a reason, is part of sustaining it. Misalignment the company neither corrects nor answers with a revised Focus is the Company Level's form of failure. Alignment kept only by lowering the Focus after the drifting Center is the same failure arriving slowly.

5.7. Strategizing at the Economy Level

At the Economy Level, the strategist is managing tofmos (total offering-market cosmos): abstract business spaces belonging to no single vendor. Each is defined by an offering, the customers who address the same need with it in the same way, whoever the vendor, and one profit stream aggregated across all of them. A tofmos is not an industry: industry classifications are drawn by convention, and one classification can hold several tofmos, which separate only in the transactions. The economy is the portfolio of its tofmos, and every ofmos a company holds participates in one of them, so the Company Level's objects return here at a wider scale of aggregation. The strategist's role holds at this scope too, exercised through policies and incentives acting on the societal and technological environment: the intent is broader and fainter than a CEO's, but the role is the same.

The instrument the strategist wields here is the economy. It is the widest of the five and the most fully abstract: a tofmos belongs to no single vendor, no leadership articulates an overarching need for the whole, and the economy is its tofmos portfolio and nothing besides. What supports the portfolio's activity, the institutions, the infrastructure, the arrangements the members share, enters the theory as the societal and technological environment, setting the anchors and moving the frame, rather than as parts of the instrument. The reading is unchanged: the portfolio is the signature, the state of every tofmos is read from the transactions, and the strategist acts on this instrument only through the environment, policies and incentives whose results return, as everywhere, in the transactions that follow. The center is still a mind: the policy intent is held by individuals, and the reading of the portfolio is theirs.

The Ofmos Theory predicts the dynamic the strategist faces. The commoditization force lowers the perceived value of every tofmos in the portfolio, and entry favors the established ones, so without deliberate creation the portfolio bunches and the economy's center of gravity drifts toward lower perceived value. Creation at higher perceived value and higher functional complexity is the counter-flow, and the two alternate as the bunching and debunching of the economy. The Economy Level's baseline formula for success follows: Tofmos Portfolio Dispersion, a portfolio held spread across perceived value and functional complexity rather than bunched where both run low. It applies to every economy, because it follows from the force acting on every tofmos. Creative destruction (Schumpeter, 1942) is a parallel perspective on the same phenomenon: the collective innovation of many vendors, each pursuing its own survival and success, producing and renewing the dispersion none of them aims at.

What emerges at this level is the ability to read an economy as a portfolio rather than as a total. The familiar reading is the total: output summed across everything the economy produces, with growth as the total's rise. A total hides the business spaces inside it. It can grow while every tofmos within it loses perceived value, because creation keeps adding business spaces as the established ones thin, and the sum carries only the net of the two. The state of the economy, bunched or dispersed, shows only when the total is taken apart into its tofmos: where each stands on perceived value and functional complexity, and how its stream runs. The strategist who reads the portfolio sees bunching as it forms, while the totals still rise, and aims policies and incentives at the composition rather than at the sum.

6. How the Theories Power the Core Mechanics of the OFMOS® Games and Simulations

6.1. The structural fidelity of the OFMOS® game mechanics

The core game mechanics of the OFMOS® family are a structural expression of the foundational theories. Every action a CEO can take on the board renders something the theories define: a structural dynamic, a form of deliberate action, or a lifecycle transition. The relationships between the actions follow the relationships between what they render, and the financial consequence of each action follows the theory's account of how returns are generated and how streams thin wherever learning accumulates. The correspondence is checkable action by action, and it rests on two grounds: the board as the theory's reference system made playable, and the product piece as the theory's unit made physical.

The board is the Ofmos Map at a finite resolution. Its dimensions are the Map's own, the offering's perceived value and the offering's functional complexity, drawn on the physical board with perceived value running bottom to top and functional complexity running left to right. Nine tiles, called environments in the game, each hold nine positions in a three-by-three arrangement, and the assembled board is one multi-environment positioning map of eighty-one positions, across which the product pieces move without regard to environment boundaries once launched. Environment is the game's term for the tile only: the theory's environment, the societal and technological one, is a different object, and the two are not to be read into each other. Every position corresponds to one combination of the two dimensions, so every placement is a positioning decision with a theoretical meaning.

The board also inherits the Map's flexibility of scope. A Map is drawn, not given: its frame follows the object of analysis, and an industry Map covers only the part of each dimension that the industry's needs and offerings occupy, as established with the Map as analytical tool. The board is read the same way. Its frame can be set at any scope, from a whole economy to a single industry, and the dimensions keep their identity while only the frame changes. Drawn for the automotive industry, for example, the three columns can be read as an ordered partition of functional complexity, small cars, midsized cars, large cars. The reading is deliberately coarse, but it shows what is essential: the two dimensions are the reference system, and the frame is the analyst's to draw.

Each environment carries one potential profit P, from one to nine, shared by its nine positions, and the numbering renders a claim the theory states with the Map: every position carries a potential return, and the potential rises with perceived value and functional complexity jointly. At the board's environment resolution, that is what the layout shows. The lowest P sits in the environment where both dimensions are lowest, the highest P where both are highest, and each step from one environment to the next, toward higher perceived value or toward higher functional complexity, is a step to a larger P. In play, the $ impact of an action is calculated from the P of the position under the acted-on product, so the potential-return structure carries into the game's financial calculations.

What a product piece stands for is set by a principle the rulebook states and the theory has already named with the abstract business space. The Ofmos Simplification Principle reads: "Begin your transition to the new worldview by simplifying and assuming that every ofmos consists of both a unique offering (or product) and a unique market." The theory's positioned objects are abstract business spaces, each defined by an offering, a set of customers sharing the same need-addressing behavior relative to it, and a stream of returns over time. Under the principle, each piece is read as one offering paired with its own market, so the piece and the business space coincide, and a player's nine pieces are a portfolio of nine ofmos (offering-market cosmos). What the principle sets aside is the case where one offering, matched in different need-addressing contexts, forms several business spaces at once.

The rulebook's sentence is the shortest articulation the principle has, and its ground is the one stated with the Product Level: the local community in which every offering is known to everyone and learning spreads across the whole community at once. There the set-aside case does not arise: each offering forms one business space, and the business space can be identified by the offering alone — the product names the ofmos and, where vendors are not distinguished, the tofmos.

The board's treatment of movement follows what the theory derives. In a stable environment, one non-deliberate dynamic acts on every abstract business space: the commoditization force, which lowers the offering's perceived value. The board renders that dynamic, with the one movement built into the ordinary course of a product's life running toward lower perceived value, and the action that executes it collecting P. The pairing of movement and collection is the theory's own, in which a space operated while the force lowers its perceived value yields its return. The movement belongs to the force, and what the CEO times is the collection. On functional complexity the theory derives no non-deliberate movement at all: procedural learning moves neither dimension, and every change in functional complexity is a deliberate act. Movement on that dimension is accordingly available only through deliberate action.

The analogy that fits the whole construction is an orrery, a mechanical model of the solar system. An orrery does not replicate the cosmos, and it does not calculate it. It reproduces the structural relationships that govern planetary motion, at a scale where they can be seen, traced, and operated by hand, and what it gives up to do so is everything else: distances, masses, the count of bodies. The OFMOS® games are an orrery of the theories. The dimensions, the potential-return structure, the unit, and the movements are preserved in their relationships, while the fine grain of real markets, in resolution and in the count of abstract business spaces, is given up. What remains is a working model of the dynamics, small enough to run by hand.

6.2. The six CEO actions

The six CEO actions are the theory's deliberate actions and lifecycle transitions at the board's resolution, counted against the ofmos (offering-market cosmos) a product piece stands for. One action creates an ofmos and one deletes it. One collects as the force lowers the offering's perceived value. Two change the offering's functional complexity, one in each direction, and one raises the offering's perceived value. Several carry variants, described with the action they belong to. The set covers what the theory derives for a single ofmos: creating it, moving it on the two dimensions, and deleting it, with collection joined to the one non-deliberate movement. The $ impact of each action is where the correspondence is checked, and one turn reads as one operating cycle: what an action collects or consumes is settled against what the acted-on ofmos yields over that cycle.

Launch renders the act that aims at creation. In the theory, a launch produces transactions first, and the ofmos exists once the three constitutive conditions have come to hold together, an emergence the vendor initiates and cannot decree. The board compresses that emergence into placement: a launched piece is a standing ofmos from the moment it is placed, and the period between the launch and the formation of the cluster sits below the board's resolution. In the game, launching is the activation stage, in which each CEO places one product in an open position of each environment and deducts $45, the sum of the nine environments' P values. The cost renders what the theory states of creation: deliberate effort is paid before any stream runs, and the investment scales with the potential of the positions entered.

Product Commoditization is the collection action. The movement it executes belongs to the force, and the +P it collects is the yield of the acted-on ofmos over the cycle, the return of an ofmos operated while the force lowers the offering's perceived value. Positions are exclusive, and the game renders competition as displacement: a move can end on a position another CEO's product holds, and the arriving product eliminates the displaced one, the board's rendering of a rival ofmos taking the customers. On this action the elimination leaves the $ impact at + P. That is the theory's account of the deliberate reduction of perceived value rendered in play. The reduction runs with the force rather than against it, so the displacement adds no cost and the cycle's yield is still collected. The gain lands on the rival's stream as much as on the CEO's own.

Product Innovation is the deliberate change of the offering's functional complexity, in either direction, with the offering's perceived value held unchanged, the simplification stated with the forms of innovation. On the board the action moves the product one position toward higher or lower functional complexity. In an open position the $ impact is zero, which is not a free move: repositioning is paid for out of what the ofmos yields, and the effort consumes the cycle's yield in whole, so collection and cost cancel. With a competitor elimination the $ impact is –$P: taking the position from its holder demands effort beyond the change to the offering itself. The direction toward higher functional complexity moves the ofmos to positions that yield more, since fewer vendors can produce there. The direction toward lower functional complexity is made for the portfolio and against competitors, as established with the deliberate reductions.

Market Innovation renders the form that acts on the need side. The offering stays as it is, and the vendor works to re-match it with a need of higher perceived value, through means that influence rather than change: branding, regulatory change, narrative cultivation. It is the harder form, because the market's mind is only the vendor's to influence, and the board prices the difficulty. The action moves the product one position toward higher perceived value at a $ impact of –$P: the effort consumes the cycle's yield and more, where a change in functional complexity alone ran at zero. What the loss buys is position. The new position carries a larger potential P, and of the three forms this is the one that opposes the force most directly, since it raises the offering's perceived value against the erosion itself.

Retirement deletes the ofmos, and the board renders the two ways the deletion can fall against the force's work. Retired from the board's bottom row, the positions of lowest perceived value, the product returns +$P: the force has carried the ofmos through the whole of its decline, and the retirement collects one last cycle's yield on the way out. Retired from any other position, the product carries a $ impact of –$9. Removal before the decline has run its course forfeits what the ofmos would still have yielded, and the game renders the forfeit as a fixed exit loss that no position's P offsets. Neither variant is failure. As established with the lifecycle, deleting abstract business spaces belongs to managing a portfolio as much as creating them does, and the end-of-life case is the ordinary close of an ofmos the CEO has collected on throughout.

Synergy is a formation the actions create: the theory's synergy formation, a combination of abstract business spaces that return more together than they return apart, as established with the company as a system of ofmos. On the board, a synergy is an alignment of three or more of one CEO's products in adjacent positions at the same perceived value. The alignment renders ofmos whose offerings are close enough in functional complexity to share what their production requires, components among them. The bonus, the sum of the P values of the aligned products, is added once to the formation-creating action's $ impact. An expansion adds products to a standing alignment and pays only the P values of those added. Formations can be broken and recreated, and the bonus re-earned: the efficiency is realized by the act that forms it, and managing them is ongoing portfolio work.

6.3. The return model

The financial consequences attached to the actions are not arbitrary scoring rules. They are the theory's account of returns, expressed at the board's resolution. The numbers on the board carry no currency sign, because the model is general. The rulebook is written in the vocabulary of the commercial levels: the pieces are products, the numbers are read as $, and the running balance is profit. Played as a simulation at the Individual Level, the same game takes the vocabulary the theory has set for the individual: each piece is read as a routine, the smallest of the business spaces, and the return is measured in success points, the returns on the cognitive effort invested. Nothing in the mechanics changes. Only the vocabulary does, and that is itself faithful to the theory: the dynamics are the same at every level, and only the resolution of the reading changes with scale.

The board also carries the widest of the readings. Played at the Economy Level, each player manages one economy as a portfolio of tofmos: vendors are left undistinguished, so each piece names a tofmos rather than an ofmos. Every derived dynamic is present under that reading. Every tofmos commoditizes, the returns are collected as the value falls, and the spread across the board holds only through deliberate creation and repositioning. One further compression is specific to it: policies and incentives, the strategist's real lever at this level, become direct moves on the pieces, the way the emergence of a launched ofmos is compressed into placement. The player who has sustained the spread, or lost it, has met the bunching and debunching of the economy from inside.

Each action's $ impact has been checked against the theory one at a time. Read together, the impacts form one system, and the system runs the way the theory says returns run. The only movement toward lower perceived value is the collection action, and it is the only movement that pays. Changing the offering's functional complexity settles at zero, because the effort consumes the cycle's yield. Raising the offering's perceived value costs P, because that effort consumes the yield and more. Creating a space is paid for before any stream runs, and deleting one either collects a last cycle at the end of the decline or takes a fixed exit loss. This is the collection account stated with the Map as analytical tool, made playable: a space operated while the force lowers its perceived value yields its return, and repositioning consumes it.

The running balance is where the portfolio appears. Each CEO keeps one balance, and every action of every piece settles into it. What one product collects pays for another product's repositioning, and a loss anywhere is covered by collections everywhere else. This is the conclusion stated with the company as a system of ofmos, now operational: no single space can be the unit managed for survival, because what sustains one space can sit in another, and the game gives the player no other account to manage from. A single piece can also finish its whole life in the red, launched at a cost, repositioned at a cost, and retired early at a loss, while the game goes on. A stream's sign is a fact about the unit, not a condition of its existence, and the player learns that at the table.

What arises in play follows from what the mechanics preserve. Because the correspondence holds action by action, playing the actions together produces the theories' phenomena at the board's resolution, not illustrations of them. A player who keeps collecting watches the product move toward lower perceived value, into environments where P is smaller, and feels the stream thin as a question of timing: collect again, or pay for position. A rival's move takes a position and the customers with it. Synergies are formed, broken, and formed again as ordinary portfolio work, and retiring a product is a close, not a defeat. An orrery with a lamp for its sun does the same thing: line up the model moon and the model earth and an eclipse occurs. It is not a picture of an eclipse. It is one, at the model's scale.

This is what learning with the OFMOS® games is built on. Because the phenomena arise in play, the theory does not have to come first, as a lecture on dynamics the learner has never met. It comes after the game, as the explanation of what the player has just lived through: the erosion they collected on, the position they paid for, the loss one product ran while the portfolio carried it, the position a rival took. The debrief names what happened at the table and supplies the logic behind it, so the theory arrives with its evidence already in hand. The claim stays within the model's limits: what the player encounters are the structural dynamics the mechanics preserve, at the board's resolution, and the full grain of real markets remains the theories' own subject.

7. The Theories Applied to the Strategist

Together the theories form a general theory of purposeful behavior, and strategizing is purposeful behavior. They therefore describe the strategist: an individual pursuing successful existence, holding a hierarchical tree of needs under an overarching need of their own, with a continuum ordering everything in it. At whatever level the strategist operates, from a single person's recurring decisions to an economy, the agent doing the strategizing is that individual, the CEO of one entity in the framework's sense, a metaphor for agency rather than a job title. Nothing has to be added to the apparatus to bring the strategist into view. The objects the theories define, the needs, the transactions, the abstract business spaces and their streams, are the objects the strategist's own behavior produces, and the dynamics derived from them act on the strategist's behavior as on any other agent's.

The relation is stronger than description, because strategizing is not a capability added to the individual the theories describe. It is the hierarchy's own logic, taken up deliberately. A superordinate need carries a logic that orchestrates the needs beneath it, as established with the two forms of learning, and the hierarchy is built and rebuilt by the same aggregation and disaggregation that produce its collective counterparts. That logic operates in every branch of the tree whether it is attended to or not: candidate goals are generated under the guidance of the levels above, one is selected by decision, and what was generated once can be generated again. The strategist who strategizes exercises the same logic knowingly, and the operations do not change. What exercising it knowingly adds is attention. The logic the strategist attends to is already there.

It follows that strategizing derives from the same first principle that produces commoditization. The principle is the economizing drive, the organism's drive to make the most of a given amount of resources, named with the two forms of learning. Operating as learning in repeated engagement, the drive pushes the needs an individual addresses lower in the hierarchy, and across a business space that learning aggregates into the commoditization force. Operating as the logic the hierarchy carries, deliberately exercised, the same drive produces innovation, the deliberate effort against the erosion. The shared derivation is no paradox: the two systemic outcomes stated with the structural dynamics differ in how the drive operates, not in where it comes from. The relation is the one physics describes between a spontaneous process and a system held away from equilibrium, a state that lasts only as long as work keeps being supplied.

The strategist's own behavior takes the theories' objects at their smallest scale. Every deliberate action can be located on the Ofmos Map, as established with the Map as analytical tool, on its dimensions as they read for a single person, the Individual Continuum and cognitive effort. A single decision-action transaction is raw data. What recurs forms the smallest of the abstract business spaces, the routines, each with a stream of returns measured in success points. Those business spaces commoditize the way every business space does: as the strategist's own learning accumulates, the needs the routines address are pushed lower in the hierarchy, and the streams thin. The response is innovation, the same at this level as at every other, as established with innovation: reconfiguring the components of a routine so that it addresses a higher-level need.

Learning the theories is itself such an act. A tool or framework once deliberately adopted remains an innovation after its use has become automatic, as established with innovation, and the theories are that kind of adoption. Taking them up is a deliberate change in how the strategist reads and decides: the state of a business space is read from its transactions, and a decision about it is a creation, a movement on perceived value or on functional complexity, or a deletion. The strategist who has internalized that reading executes it without the reading claiming attention, the way every internalized foundation serves the level above it. The adoption is made for the reason every innovation is made, because it furthers the agent's own pursuit. What it innovates is the strategist's own recurring acts of reading and deciding, which is what strategizing is made of.

The higher a need stands, the more comprehensive the logic it carries for the needs set under it. Where a pursuit completes quickly, its returns arrive often, and the strategist can correct against them, so little of the logic has to be held in advance. What recurs consolidates from the repetition itself, as established with the two forms of learning. Where a pursuit runs for years, a life holds too few of its returns to learn from, and the logic must be in place before any return can confirm it. Logic of that kind is epistemic learning's contribution, an understanding of how the world works held ahead of the returns. At sufficient height that understanding includes theories, and taking one up is part of what the longest pursuits require.

No participant in the system stands outside it. The domain is stated as a condition, wherever transactions occur as needs are addressed, and the condition holds for every agent the theories name. The customer whose learning generates the commoditization force, the vendor whose deliberate action answers it, and the strategist who reads the state of the business spaces from the transactions are the same kind of agent: each pursuing successful existence, each holding a hierarchy in that pursuit, each producing transactions the theories read. The strategist's own recurring decisions are among the objects the apparatus describes, and the claim is one of consistency rather than rhetoric: the theories include their user in their domain. The strategist who reads the system is inside it.

8. How Strategy Capability Grows

Strategy capability, how well a person exercises the one logic every pursuit runs on, grows the way a flywheel gathers speed. A flywheel is the heavy wheel in a machine that keeps the motion each turn adds, so the wheel never starts from rest again and each new turn raises a speed already there. The capability grows the same way. Each pursuit in which the logic is exercised explicitly, with the results read, adds a little, and what is added is kept. The capability carried forward improves the pursuits that follow. Two things set how fast the flywheel gains speed: how explicitly the capability is exercised, and how far the results of that exercise are read.

What the flywheel turns on is present in everyone. The logic is the hierarchy's own, exercised in every branch of every tree whether it is attended to or not, as established with the theories applied to the strategist. What differs between one person and another is not possession of the logic but the two variables themselves: how explicitly it is exercised, and how far its results are read. Growth therefore begins with no acquisition. It begins where exercise that was already happening becomes explicit and its results begin to be read, and the forms a body of knowledge takes decide how far the two can be raised.

What the turns build is a retained structure, and it survives because of what it is. What an individual keeps of any account is what memory's reduction keeps: the regularity running through many encounters, not the encounters themselves. A generative logic survives that reduction where a catalogue of situations does not, because what the reduction keeps, a small set of causes and the way they combine, is the whole of the logic, as established with frameworks generated from theory. Each explicit turn therefore compounds. What it adds is added to a structure memory keeps whole, and what is kept is what the next situation is met with.

Frameworks act on the first variable. A framework states the structure ahead of the material it organizes, and a subsuming structure supplied in advance aids the learning and retention of what follows (Ausubel, 1960; Luiten, Ames & Ackerson, 1980). The Five Business Big Pictures does that stating for strategic agency: it names the one logic, orders the five levels at which it operates, and carries each level's baseline formula for success, so that what a person already does unattended can be exercised explicitly. What the framework adds to a universal capability is attention and explicitness, as stated with the framework as a model of strategic agency, and explicitness is the first of the two things that set the flywheel's speed.

Games and simulations act on both variables at once, and the OFMOS® games are a working part of the flywheel: they supply the fastest turns. At the table the exercise is fully explicit: every action is named and renders something the theories define. The cycle from action to return, which at the Company and Economy Levels runs over years, closes within a single game. Results at those levels can be read at once and often, because a game can be replayed where a company or an economy runs its course once. Improvement comes in large part from practice activities designed to improve performance (Ericsson, Krampe & Tesch-Römer, 1993), and the games are such an activity for strategizing. Because the mechanics preserve the theories' structure, what is exercised at the table is the same logic exercised in every pursuit, and what a player builds in play carries beyond the table. The second variable is served past the play itself: the phenomena arise at the table, and the debrief names what happened and supplies the logic behind it, so the theory arrives with its evidence already in hand, as established with the return model. The games supply the exercise, the returns, and the logic named; what each player builds from them is the player's own.

What a player builds does not stay at the table, and the sciences of memory say how fast it goes to work. A representation already in place takes up a congruent new item at once, where the same item arriving without one is learned slowly and from the beginning (Tse et al., 2007; McClelland, 2013). A strategist who has exercised the one logic until it is retained meets a new situation the same way. What the situation presents lands in a structure already built, and the account the situation calls for need not be worked out from nothing. The framework and the games cannot supply the situations. They supply the structure that is in place when the situations arrive.

The forms run together, and they are built to be run again. The framework states the structure; the games and simulations have the player exercise it; the debrief reads the results; and the pursuits that follow supply the situations the retained structure meets. Combined with facilitated learning, the two give a repeatable way to build strategy capability. One bound belongs in the statement. The learning results drawn on here, on retention, on structure supplied in advance, on practice, and on assimilation, are general findings. What is claimed is that the forms built on the theories have the structure those findings reward. That is a prediction about the forms, not a measurement of them, and it stands exposed to evidence the way every derived claim in this account does.

9. The Theories and the Scientific Fields They Bridge

The fields named here are not simply the fields the theories cite. They are the fields that meet three stated criteria. A field is listed if it supplies at least one established result the derivation depends on, so that removing it would leave a link in the chain unsupported. It is listed if the theories in turn derive something the field documents but does not itself derive, so that it has an entry on both sides. And it is listed only where it is not contained in another field already listed, so that where a broader field and one of its own parts both qualify, each is taken here for what the other does not supply.

The criteria exclude as well as admit, and the exclusions are stated here so that the list can be checked against them. Physics supplies the description of order maintained against disorder that the living thing is defined against, and the directional vocabulary the levels above the single offering borrow, and the theories return it nothing; it is drawn on and not bridged. Philosophy of science supplies the standard of falsifiability the theories are built to meet, and receives no derivation in return. Neither is listed. What follows takes the admitted fields one at a time, in the order of the derivation, from the biology the theories begin in to the strategy literature their dynamics land in, stating for each what it contributes and what the theories add.

Biology and evolutionary theory supply the generating logic. The three fundamental drives the theories begin from are documented biological phenomena in their own right, established separately across the organisms they are claimed for, and the efficiency they describe is the efficiency the principle of least effort found in behavior generally (Zipf, 1949). Biology also supplies the ordering of levels the theories work within, the finding that living matter organizes itself into levels of increasing complexity, each level integrating the activity of the one below into a new kind of organization (Novikoff, 1945). What the theories add is the derivation. The drives are not taken as a description of what organisms do and left there. They are the starting points from which the Individual Hierarchical Tree of Needs, the ordering of needs by perceived value, and every dynamic above it follow. Biology's own vocabulary stops at the organism, and the derivation carries it to the transaction, the ofmos, and the economy.

Neuroscience supplies the substrate. A memory is a lasting change in the connections among the neurons an experience engaged (Semon, 1921; Hebb, 1949; Josselyn & Tonegawa, 2020), and over the weeks after it forms it is consolidated into a settled core that keeps the regularity and sheds the occasion (Kitamura et al., 2017; Frankland & Bontempi, 2005). Two learning systems running at different rates explain how the regularity common to many episodes is assembled above them (McClelland, McNaughton & O'Reilly, 1995), and a representation already in place absorbs a congruent new item at once where an item arriving without one is learned slowly (Tse et al., 2007; McClelland, 2013). Neural representations also reorganize with the environment and the behavior held constant (Driscoll et al., 2017; Schoonover et al., 2021). What the theories add is what the reorganization does. Neuroscience observes the change in a representation's composition; here that change is movement along the ordering of needs by perceived value, from which the downward push and the commoditization force follow.

Cognitive science supplies the shape of the thinking. It describes a mind organized as a hierarchical prediction system, in which the higher levels hold abstract, probabilistic models that constrain the levels below without determining them (Clark, 2013), and a mind that builds an internal model of what is around it and of its own possible actions, and runs that model forward to anticipate events (Craik, 1943). It has shown that reasoning proceeds by building and manipulating such models rather than by applying formal rules (Johnson-Laird, 1983). It has modeled the breaking down of a large problem into pieces small enough to be worked on directly (Newell & Simon, 1972), and established the two kinds of processing, fast and instinctive against slow and analytical, that the Ofmos Map carries on its horizontal dimension at the individual decision (Kahneman, 2011). What the theories add is the form of the model. Predictive processing fixes the objective, the minimization of prediction error, and requires that the individual hold a model, and where it specifies the model's form it is two hierarchies related by precision, with no single top (Pezzulo, Rigoli & Friston, 2018). The One-Need Theory specifies one hierarchy disaggregated from a single overarching need, with need, goal, and decision coinciding at every node. One structure is both the model of the world and the model reasoning runs on.

Psychology and motivation theory supply the hierarchy's dynamics. The needs that recur across people and cultures, for autonomy, competence, and relatedness, are established findings (Deci & Ryan, 2000), as are the feedback loops that keep behavior aimed at a goal (Carver & Scheier, 1998), the effectiveness of specific goals where action is taken (Locke & Latham, 1990), and the reconstructive character of recall (Bartlett, 1932; Schacter & Addis, 2007). What the theories add is why these hold. The recurring needs are not universal categories but high-level disaggregations of one overarching need that shared biology and shared social context make common. Specific goals work where needs stand close to the solutions available and damage the tree where they do not, because sharpening a higher need narrows what it can generate beneath it. And recall is reconstructive because the hierarchy is built to navigate what is coming rather than to preserve what has passed.

Philosophy of mind and action supplies the decision. A decision is a commitment that constrains what is reasoned about afterward (Bratman, 1987), and it settles uncertainty into a definite course while the end it serves is itself remade as the available means change (Dewey, 1922). The field divides reasoning in two: practical reasoning about what to do, theoretical reasoning about what is the case (Anscombe, 1957). Behavior is directed toward what is wanted rather than triggered by what is present (Tolman, 1932), and thinking can extend past the boundary of one head (Clark & Chalmers, 1998). What the theories add is the identity. Motivation theory, decision theory, and problem-solving theory keep need, goal, and decision apart, and here one constitutive process produces all three at once, at the same node. Both kinds of reasoning then run on one structure: practical reasoning as the disaggregation of the tree, theoretical reasoning as the same tree run forward to anticipate what is coming. The same field also supplies the form of the top itself, an idea that organizes thought without being an object anyone attains (Kant, 1781; Peirce, 1878), which is the relation the overarching need stands in to everything disaggregated from it.

Artificial intelligence and control theory supply the regulator. Any system that successfully regulates another must contain a model of it (Conant & Ashby, 1970), and a plan set out at a coarse grain carries the terms on which the finer plan beneath it is filled in (Miller, Galanter & Pribram, 1960; Sacerdoti, 1974). Both are results about what a controlling system has to hold, and both hold of the Individual Hierarchical Tree of Needs, which is at once the individual's model of the world and the structure through which they pursue what they want in it. It also establishes what hierarchical organization buys a controller, since aggregating actions into reusable, temporally extended routines lowers the cost of working out the next step (Botvinick, Niv & Barto, 2009). What the theories add is the limit. A cognitive tool that takes part in the tree's construction contributes goals that enter no differently from goals the individual generated unaided, and the tree becomes a hybrid construction. The limit follows height: the higher a need stands, the more of it is the individual's own interpretation of their own successful existence, and the less of it another party can supply. At the top there is nothing for an external system to own.

Complexity science supplies the architecture. Hierarchic organization is how complex systems are built and how they hold together, and the levels of such a system change at different rates (Simon, 1962). Each level shows properties the level below does not have and that cannot be worked out from it (Anderson, 1972), and self-maintaining systems nest, each within a boundary of its own (Kirchhoff et al., 2018). What the theories add is the content of the levels. Complexity science establishes that levels exist and that new properties appear at each, and it does not say, for any particular system, what those levels are or what produces them. The Ofmos Theory names those levels and derives them, transactions clustering into ofmos, ofmos aggregating into tofmos, and the economy standing as the portfolio of tofmos, so that each unit is read from the transactions rather than chosen by the analyst.

Economics supplies value and its aggregation. Value is set by the individual's own assessment rather than by what a good cost to produce (Menger, 1871), and satisfaction falls as further units of a good are consumed (Gossen, 1854). Positions can be inferred from what people transact rather than from what they report (Samuelson, 1948), and transactions consolidate knowledge no single mind holds (Hayek, 1945). What the theories add is where the value comes from. A need's perceived value is given by its position on the continuum — by the portion of the overarching need it carries — so the individual's assessment has a position behind it and not a bare preference. Economics defines its own subject as the allocation of limited means among competing ends (Robbins, 1932), and the theories derive that allocating from what a self-maintaining thing is. The erosion the theories describe runs across time and accumulating knowledge rather than across units consumed at one moment, which is what makes it a directional force acting on an offering and not a property of a single episode of consumption. Creative destruction is then derived alongside it, the two of them products of one process (Schumpeter, 1942).

Strategy and management supply the patterns. The field documents the arrival of entrants addressing needs that incumbents overlook (Christensen, 1997), the erosion of differentiation and pricing power under commodity conditions (D'Aveni, 2010), the fall in effort as production experience accumulates (Boston Consulting Group, 1968), the failure that follows when a company's assumptions about its own business stop fitting reality (Drucker, 1994), and the strategy that forms when individually deliberate decisions settle into a pattern nobody planned (Mintzberg, 1978). What the theories add is the derivation and the unit. Each of these patterns is named and described in its own literature and left standing as a condition of markets, and the theories generate them from customer learning and vendor response, which is why the causal order comes out the other way around on commoditization, with competition a consequence of the force rather than its cause. And the ofmos gives the field a unit taken from the behavior, defined jointly by an offering, a shared need-addressing behavior, and a profit stream, rather than chosen for a purpose.

In every case the contribution is of the same kind. Each field has established what holds at the level it works at; the derivation that produces it runs across levels no single field is drawn around, and that derivation is what the theories supply. The nine connections are therefore one connection seen from nine fields, and not a set of resemblances between fields that were studied apart from one another.

10. Further Reading and Experiences

The two theories presented here, the One-Need Theory of Behavior and the Ofmos Theory of Business, were developed and published over more than two decades. They are also the foundation of the strategy framework The Five Business Big Pictures and of the OFMOS® family of games and simulations. The key earlier works, and the first published game:

Strategy, Redefined. (2004). The first published presentation of the customer-centric view of strategy from which the One-Need Theory of Behavior and the Ofmos Theory of Business developed. RedefiningStrategy™. (The earliest account of the two theories is a manuscript begun in 2002 and submitted to Harvard Business Review as an article proposal in November 2003.)

A Business-Relevant View of Human Nature (2007). The first full articulation of the One-Need Theory of Behavior and its implications for understanding business dynamics. RedefiningStrategy™.

A Natural Theory of Needs and Value (2018). A revised presentation of the One-Need Theory, substantially the same account as the 2007 paper. It defines the living thing and derives the single overarching need from its three drives. RedefiningStrategy™.

Spointra and the Secret of Business Success (2007, 2013). A picture-book introduction to the way of understanding the world the theories present, written to make them accessible to a general audience. Apple Books.

OFMOS® Essential (2026). The first published version of the OFMOS® family of games and simulations. A tabletop game whose core mechanics, shared across the family, render the theories' objects and dynamics in playable form. OFMOS® Games and Simulations.

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