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Imputation (Game Theory)

A payoff allocation in a transferable-utility cooperative game that distributes the grand coalition's entire worth while giving every player at least its stand-alone coalition value.

Version
v3 · 2026-09-06 · History
Domain-specific #
2048
Origin domain
economics
Subdomain
cooperative game theory
Aliases
Game-theoretic imputation, Cooperative-game imputation, Imputation set

Core Idea

For a transferable-utility coalitional game ((N,v)), an imputation is a payoff vector \(x\in\mathbb R^N\) satisfying two baseline admissibility conditions:

\[ \sum_{i\in N}x_i=v(N) \quad\text{and}\quad x_i\ge v(\{i\})\ \text{for every }i\in N. \]

The first condition is efficiency: the grand coalition's available worth is fully distributed. The second is individual rationality: no player receives less than it can guarantee by acting alone. An imputation is therefore not yet a prediction or a uniquely fair answer. It is the feasible negotiating set remaining after waste and individually unacceptable allocations are removed.

Scope of Application

Imputations are used in cooperative cost and surplus sharing, coalition formation, joint ventures, public projects, logistics, insurance, voting-power analysis, and dynamic cooperative games. The definition assumes transferable utility: one common payoff scale can be redistributed among players.

For non-transferable utility, externalities among coalitions, uncertain coalition values, or participation constraints richer than stand-alone worth, the baseline must be generalized. Cost games also require a consistent reversal of inequality and efficiency conventions.

Clarity

Publish (N), the characteristic function or at least (v(N)) and all singleton values, the payoff sign convention, and both tests. Calling a vector “an imputation” because it divides a total is incomplete. Likewise, individual rationality must be evaluated against each player's modeled outside option, not a vague fairness judgment.

Manages Complexity

The definition reduces an unconstrained continuum of payoff vectors to an affine hyperplane clipped by participation half-spaces. This geometrical object can be inspected for emptiness, dimension, extreme points, and intersections with the core. It cleanly separates the first question—what agreements are minimally acceptable?—from the harder question—which acceptable agreement should be chosen?

Abstract Reasoning

  1. Specify the coalitional game and transferable payoff unit.
  2. Compute the grand coalition's worth.
  3. compute each singleton's stand-alone worth.
  4. Form the efficiency hyperplane.
  5. Intersect it with every individual-rationality constraint.
  6. Test whether the imputation set is nonempty.
  7. If selection is required, apply a declared stronger solution concept.
  8. Check coalition stability separately rather than inferring it from individual rationality.
  9. For a dynamic game, verify that continuation allocations remain acceptable over time.

Knowledge Transfer

The portable pattern is define the minimally admissible allocation set by combining full-budget use with a floor at each participant's outside option. It transfers to negotiated budgets, consortium revenue sharing, and resource pooling. The proposed immediate parent is Allocation.

Relationships to Other Abstractions

Local relationship map for Imputation (Game Theory)Parents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Imputation(Game Theory)DOMAINPrime abstraction: Allocation — is a kind ofAllocationPRIME

Current abstraction Imputation (Game Theory) Domain-specific

Parents (1) — more general patterns this builds on

  • Imputation (Game Theory) is a kind of Allocation Prime

    Allocation is the proposed immediate parent.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Imputation (Game Theory) sits in a sparse region of the domain-specific corpus (91st percentile for distinctiveness): few abstractions share its structure, so a faithful description tends to retrieve it precisely.

Family — Fair Division & Cooperative Power (7 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-08