2019
DOI: 10.1016/j.geb.2018.09.006
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Hodge decomposition and the Shapley value of a cooperative game

Abstract: We show that a cooperative game may be decomposed into a sum of component games, one for each player, using the combinatorial Hodge decomposition on a graph. This decomposition is shown to satisfy certain efficiency, null-player, symmetry, and linearity properties. Consequently, we obtain a new characterization of the classical Shapley value as the value of the grand coalition in each player's component game. We also relate this decomposition to a least-squares problem involving inessential games (in a similar… Show more

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Cited by 18 publications
(38 citation statements)
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“…• 2) A cooperative bidding model for a price-maker wind power producers considering day-ahead electricity price uncertainty is formulated to maximize its profits. Besides, Shapley value [25] is used to distribute the profits for cooperative power producers.…”
Section: Introductionmentioning
confidence: 99%
“…• 2) A cooperative bidding model for a price-maker wind power producers considering day-ahead electricity price uncertainty is formulated to maximize its profits. Besides, Shapley value [25] is used to distribute the profits for cooperative power producers.…”
Section: Introductionmentioning
confidence: 99%
“…The four conditions listed above are often called the Shapley axioms. Quoted from [16], they say that [(i) efficiency] the value obtained by the grand coalition is fully distributed among the players, [(ii) symmetry] equivalent players receive equal amounts, [(iii) null-player] a player who contributes no marginal value to any coalition receives nothing, and [(iv) linearity] the allocation is linear in the game values.…”
Section: Introductionmentioning
confidence: 99%
“…(1.1) can be rewritten also quoted from [16]: Suppose the players form the grand coalition by joining, one-at-a-time, in the order defined by a permutation σ of [N]. That is, player i joins immediately after the coalition S σ,i = j ∈ [N] : σ(j) < σ(i) has formed, contributing marginal value v S σ,i ∪{i} −v(S σ,i ).…”
Section: Introductionmentioning
confidence: 99%
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