Axiomatic and Probabilistic Foundations for the Hodge-Theoretic Shapley Value

Fuente: arXiv
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Autor principal: Lim, Tongseok
Formato: Preprint
Publicado: 2021
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author Lim, Tongseok
author_facet Lim, Tongseok
contents This paper establishes a complete theoretical foundation for the Hodge-theoretic extension of the Shapley value introduced by Stern and Tettenhorst (2019). We show that a set of five axioms--efficiency, linearity, symmetry, a modified null-player condition, and an independency principle--uniquely characterize this value across all coalitions, not just the grand coalition. In parallel, we derive a probabilistic representation interpreting each player's value as the expected cumulative marginal contribution along a random walk on the coalition graph. These dual axiomatic and probabilistic results unify fairness and stochastic interpretation, positioning the Hodge-theoretic value as a canonical generalization of Shapley's framework.
format Preprint
id arxiv_https___arxiv_org_abs_2106_15094
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Axiomatic and Probabilistic Foundations for the Hodge-Theoretic Shapley Value
Lim, Tongseok
Optimization and Control
Computer Science and Game Theory
Theoretical Economics
91A12, 05C57, 60J20, 68R01
This paper establishes a complete theoretical foundation for the Hodge-theoretic extension of the Shapley value introduced by Stern and Tettenhorst (2019). We show that a set of five axioms--efficiency, linearity, symmetry, a modified null-player condition, and an independency principle--uniquely characterize this value across all coalitions, not just the grand coalition. In parallel, we derive a probabilistic representation interpreting each player's value as the expected cumulative marginal contribution along a random walk on the coalition graph. These dual axiomatic and probabilistic results unify fairness and stochastic interpretation, positioning the Hodge-theoretic value as a canonical generalization of Shapley's framework.
title Axiomatic and Probabilistic Foundations for the Hodge-Theoretic Shapley Value
topic Optimization and Control
Computer Science and Game Theory
Theoretical Economics
91A12, 05C57, 60J20, 68R01
url https://arxiv.org/abs/2106.15094