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    This (lowercase (translateProductType product.productType)) has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Zou, Zhengxing and Zhang, Qiang 2018. Harsanyi power solution for games with restricted cooperation. Journal of Combinatorial Optimization, Vol. 35, Issue. 1, p. 26.

    Carreras, Francesc and Owen, Guillermo 2016. Pure Bargaining Problems with a Coalition Structure. Homo Oeconomicus, Vol. 33, Issue. 1-2, p. 93.

    van den Brink, René Chun, Youngsub Funaki, Yukihiko and Park, Boram 2016. Consistency, population solidarity, and egalitarian solutions for TU-games. Theory and Decision, Vol. 81, Issue. 3, p. 427.

    van den Brink, René and Funaki, Yukihiko 2015. Implementation and axiomatization of discounted Shapley values. Social Choice and Welfare, Vol. 45, Issue. 2, p. 329.

    van den Brink, René Levínský, René and Zelený, Miroslav 2015. On proper Shapley values for monotone TU-games. International Journal of Game Theory, Vol. 44, Issue. 2, p. 449.

    Chantreuil, Frédéric and Trannoy, Alain 2013. Inequality decomposition values: the trade-off between marginality and efficiency. The Journal of Economic Inequality, Vol. 11, Issue. 1, p. 83.

    Amer, Rafael Giménez, José Miguel and Magaña, Antonio 2013. Reconstructing a simple game from a uniparametric family of allocations. TOP, Vol. 21, Issue. 3, p. 505.

    van den Brink, René Funaki, Yukihiko and Ju, Yuan 2013. Reconciling marginalism with egalitarianism: consistency, monotonicity, and implementation of egalitarian Shapley values. Social Choice and Welfare, Vol. 40, Issue. 3, p. 693.

    Byun, Sang-Seon Moussavinik, Hessam and Balasingham, Ilangko 2009. Fair allocation of sensor measurements using Shapley value. p. 459.

    OWEN, GUILLERMO 2004. CONSISTENCY IN VALUES. International Game Theory Review, Vol. 06, Issue. 04, p. 461.

    Dragan, Irinel 2000. Mew mathematical properties of the semivalues of cooperative tu games*. Optimization, Vol. 48, Issue. 2, p. 291.

    Yager, R.R. 2000. On the entropy of fuzzy measures. IEEE Transactions on Fuzzy Systems, Vol. 8, Issue. 4, p. 453.

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  • Print publication year: 1988
  • Online publication date: October 2009

9 - The potential of the Shapley value

Summary

Introduction

We study multiperson games in characteristic function form with transferable utility. The problem is to solve such a game (i.e., to associate to it payoffs to all the players).

Three main solution concepts are as follows. The first was introduced by von Neumann and Morgenstern: A “stable set” of a given game is a set of payoff vectors; such a set, if it exists, need not be unique. Next came the “core,” due to Shapley and Gillies, which is a unique set of payoff vectors. Finally, the Shapley “value” consists of just one payoff vector. There is thus an apparent historical trend from “complexity” to “simplicity” in the structure of the solution.

We propose now an even simpler construction: Associate to each game just one number! How would the payoffs to all players then be determined? by using the “marginal contribution” principle, an approach with a long tradition (especially in economics). Thus, we assign to each player his or her marginal contribution according to the numbers defined earlier. The surprising fact is that only one requirement, that the resulting payoff vector be “efficient” (i.e., that the payoffs add up to the worth of the grand coalition), determines this procedure uniquely.

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The Shapley Value
  • Online ISBN: 9780511528446
  • Book DOI: https://doi.org/10.1017/CBO9780511528446
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