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non-cooperative game

vr.tr.non-cooperative-game · thing-q13422573

Enable an agent to recognise a non-cooperative game, assess whether its strategic assumptions and solution claims are justified, and determine which analyses or interventions those assumptions support.

Thing Registry Activities and processes ACT.ACT

Bundle → Layer → Finding → Questions Filled

6 bundles · 11 layers · 16 findings · 30 questions

Non-cooperative boundary Establish what makes the represented interaction a non-cooperative game and what interpretation of that label is being used.

Definition and tradition

Record the adopted definition and how it treats individual choice and agreements.

Adopted non-cooperative meaning

Identify whether the account emphasises individual strategic choice, the treatment of binding agreements, or an explicit implementation of cooperative arrangements.

  1. Which definition of non-cooperative game is adopted, and which source or theoretical tradition supports it? provenance
  2. How does this definition treat agreements that are binding because an enforcement mechanism is represented? boundary

Strategic instance boundary

Identify the interaction being modelled and distinguish its strategic structure from its social interpretation.

Interdependence and cooperation

Locate dependencies among individual choices and allow aligned interests or cooperative outcomes without changing the game's classification.

  1. Whose best choice can change when another player's strategy changes? definition
  2. Is cooperation an available behaviour within this game, or is the representation instead built from coalition values and allocation rules? boundary
Players, strategies and outcomes Specify who chooses, what each player can choose and how choices produce consequences.

Players and decision rights

Determine the decision-making units and the scope of their control.

Player identification

Record the justification for treating a person, organisation or other decision-making unit as one player.

  1. Which entities are players, and which decisions does each control independently? definition
  2. If an organisation is represented as one player, which internal conflicts or delegation problems are being abstracted away? boundary

Contingent choice and consequences

Connect feasible actions and contingent strategies to outcomes and preferences.

Strategy and payoff specification

Distinguish an action at a decision point from a complete contingent strategy and specify the resulting outcome evaluation.

  1. What must a strategy specify at every decision point available to its player, including points not reached in the proposed play? definition
  2. How do strategy profiles and chance events determine outcomes, and how does each player rank those outcomes or lotteries? measurement
  3. Which constraints are genuine restrictions on feasible actions, and which are merely costly actions encoded in payoffs? boundary
Timing, information and beliefs Represent the sequence of decisions and the knowledge available when each choice is made.

Move order and observability

Specify decision histories, information sets and recall.

Decision information

Record what a player can distinguish when choosing, rather than inferring knowledge from chronological order alone.

  1. Which moves precede each decision, and which of those moves can the deciding player observe? definition
  2. Which histories belong to the same information set, and does the representation assume players remember their earlier information and choices? definition

Private types and belief revision

Specify uncertainty about payoff-relevant characteristics and beliefs about events or other players.

Belief foundations

Distinguish specified distributions, player beliefs and analyst uncertainty, including belief requirements at unreached information sets.

  1. Which characteristics are privately known, and what prior distributions or player-specific beliefs are assumed about them? definition
  2. Which observations update beliefs, and what restrictions does the selected solution concept impose after events assigned zero probability? boundary
  3. What evidence supports the information and belief assumptions rather than merely making the analysis tractable? provenance
Agreements, commitment and repetition Explain how communication and continuing interaction can support or fail to support coordinated behaviour.

Communication and enforcement

Distinguish messages from commitments and model the strategic role of enforcement.

Agreement implementation

Record how an agreement changes information, available actions or consequences, including the role of any enforcing party.

  1. Can messages directly alter payoffs or feasible actions, or do they operate only through the information and expectations they convey? definition
  2. Who detects and penalises a breach, and what makes that enforcement feasible and credible? action

Continuation and history

Represent repeated interaction, monitoring and dependence of future actions on past play.

Intertemporal incentives

Identify the horizon and continuation incentives needed for proposed rewards, punishments or reputational effects.

  1. What horizon, continuation probability or discounting convention governs the value of future outcomes? measurement
  2. Which deviations can players detect, and are the proposed responses optimal when the histories triggering them occur? action
Solution claims and validation Assess what a proposed solution establishes and how reliably it applies to the represented interaction.

Solution concept and verification

Attach each candidate solution to explicit optimality, belief and credibility requirements.

Candidate solution test

Record the chosen concept, relevant strategy class, verification method and any unresolved multiplicity or existence issue.

  1. Which solution concept is claimed, and why is it appropriate to this game's timing and information structure? definition
  2. Which unilateral deviations and, where required, continuation and belief conditions have been checked? measurement
  3. Does the analysis establish existence, identify one candidate, enumerate solutions or justify a selection among multiple solutions? boundary

Prediction, robustness and use

Connect formal results to observations and decisions without silently adding behavioural assumptions.

Supported strategic conclusions

Separate mathematically verified properties from empirical expectations and recommendations sensitive to modelling choices.

  1. What observations would support or challenge the proposed behaviour, and can they distinguish it from other equilibria or learning processes? measurement
  2. Which conclusions survive plausible changes in payoffs, information, rationality assumptions and equilibrium selection? boundary
  3. Which analyses or interventions are supported now, and which require additional information about the players or interaction? action
Evidence and external alignment What the world already says about this thing, gathered so the model can be checked against it.

Reported evidence

Findings from the breadth pass, kept separate from the structural claims.

Check these first

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these check these first hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Kinds and varieties

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these kinds and varieties hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Real-world use

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these real-world use hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Typical measurements

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these typical measurements hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Failure modes and hazards

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these failure modes and hazards hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Neighbouring kinds and how to tell them apart

Recalled without web access and unsourced; every item is a lead to verify.

  1. Which of these neighbouring kinds and how to tell them apart hold for the sense of non-cooperative game this model covers, and on what evidence? provenance

Classifiers Filled

Family
Thing Registry
Category
Activities and processes
Entry kind
thing
Plane
ACT
Domain
ACT.ACT
Other names and narrower kinds
non-zero-sum game, coordination game

What it is Filled

A non-cooperative game is a mathematical model of strategic interaction that specifies individual players, their available strategies and preferences over outcomes, with any agreements and their enforcement represented within the game rather than assumed as externally binding coalition commitments.

In scope

  • Players, decision rights, feasible actions and complete contingent strategies
  • Move order, information sets, private types, beliefs and chance events
  • Outcomes, preferences, utility representations and payoff dependencies
  • Communication, commitments and enforcement represented as strategic mechanisms
  • Solution concepts, equilibrium claims and their supporting assumptions
  • Sensitivity of strategic conclusions to representation and behavioural assumptions

Out of scope

  • Cooperative-game primitives such as coalition values and allocations independent of an explicit strategic protocol
  • Standalone optimisation problems without strategic interdependence
  • Detailed models of the institutions or physical systems in which play occurs
  • Mechanism-design objectives and the wider search for desirable game rules
  • General theories of cognition, learning or collective action beyond their specified role in play

Why it exists Filled

Enable an agent to recognise a non-cooperative game, assess whether its strategic assumptions and solution claims are justified, and determine which analyses or interventions those assumptions support.

Distinguishing features Filled

  • A player's preferred action depends on choices available to other players, distinguishing strategic interaction from a standalone decision problem.
  • The representation specifies individual strategies and how their combination determines outcomes, rather than starting solely from coalition values.
  • An agreement affects strategic conclusions through specified commitment, enforcement or incentive conditions; its effectiveness cannot be assumed merely because players agree.
  • The label does not require hostility, zero-sum payoffs or absence of communication: mutually beneficial cooperation may occur through individually chosen strategies.
  • A game remains a non-cooperative game even when no equilibrium has been selected or computed; the interaction and its solution claim are separate records.

What robots and AI may and may not do Filled

Must not

  • Present a model's equilibrium as a prediction of what real people will do without evidence.
  • Use game models to design collusion, price fixing or market manipulation.
  • Hide the assumptions that drive a model's results.
  • Present game theory results as justifying harm to people.

Only with a human decision

  • Using model results in policy, pricing or negotiation decisions that affect people.

May

  • Explain non-cooperative games, equilibria and their assumptions, citing game theory sources.
  • Build and solve game models for analysis the user has asked for.

Moral aspects Filled

  • Models can be used to justify policies that harm people while seeming neutral.
  • Strategic models in markets can facilitate collusion.

Who is affected

  • People affected by policies
  • Market participants

Owners Filled

Steward

Nobody owns the concept; game theorists study it.

Links to other meta-models Filled

parent

  • Q15079592 - registry parent class

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.non-cooperative-game
  • Wikidata: Q13422573 (https://www.wikidata.org/wiki/Q13422573)

Direct properties not applicable Not applicable

  • Player population: Finite identified players, population classes or an explicitly defined continuum
  • Strategic representation: Strategic form, extensive form, Bayesian specification, stochastic game or an explicitly related combination
  • Strategic interdependence: Dependencies from other players' choices to a player's feasible actions, information or outcome ranking
  • Information conditions: Perfect or imperfect information; complete or incomplete information; specified recall and observability
  • Payoff representation: Ordinal rankings, expected-utility values, monetary outcomes with an explicit utility mapping, or another stated criterion
  • Interaction horizon: One-shot, finite repeated, indefinite repeated or infinite horizon
  • Commitment and enforcement: Links among commitments, feasible deviations, monitoring parties and consequences
  • Solution assessment: Unanalysed, candidate, verified under stated assumptions, refuted or unresolved
  • Maximum unilateral deviation gain: Per-player utility units under a stated strategy profile and solution test

Plane ACT: no invented physical properties.

Recognition not applicable Not applicable

Not applicable

A non-cooperative game is an abstract mathematical model without an intrinsic perceptible appearance.

Capabilities and actions required Filled

  • Construct a strategic or extensive-form representation from an interaction description and expose missing primitives.
  • Test candidate strategies for profitable unilateral deviations under stated information and beliefs.
  • Compare solution concepts and identify which behavioural or credibility assumptions change the conclusions.
  • Evaluate how communication, monitoring or enforcement changes feasible strategies and incentives.
  • Analyse sensitivity to payoff estimates, private information, move order and interaction horizon.
  • State the observations needed to distinguish competing representations or behavioural predictions.

Hazards and failure modes required Filled

  • Incorrect assumptions about participants' preferences or information can produce misleading predictions.
  • Treating an equilibrium as a guaranteed outcome can support poorly justified decisions.
  • Ignoring enforcement, unequal bargaining power or effects on outsiders can conceal harmful consequences.

Standards and interfaces not applicable Not applicable

Not applicable

No generally applicable standard, law or official classification governs the mathematical concept itself.

Context of use required Filled

  • Non-cooperative games are used in economics, political science and computer science to analyse strategic choices among independently acting participants.
  • They support the study of auctions, bargaining, competition and coordination when incentives and agreement enforcement must be represented explicitly.

Sources Filled

  1. Wikidata item Q13422573: non-cooperative game - identity and sense of the item
  2. Wikipedia: Non-cooperative game theory - general description of the item

Open questions

  • Which reference definition should anchor the registry entry, particularly where accounts differ in their treatment of binding agreements and endogenous enforcement?
  • Does an existing Vercy world model already own this concept or the general strategic-game primitives that this entry should reference?
  • Should evolutionary and other non-deliberative interpretations be included directly or linked as neighbouring models with different behavioural foundations?
  • How should the model distinguish uncertainty about the game itself from private information represented inside a game?
  • Which operational standards should govern approximate equilibrium claims when strategy spaces are large or continuous and payoff scales differ across players?

Machine files

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q13422573/spec.json