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The Agencies Method For Modeling Coalitions And Cooperation In Games

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  • JOHN F. NASH

    (Department of Mathematics, Princeton University, USA)

Abstract

The idea leading to this study originated some time ago when I talked at a gathering of high school graduates at a summer science camp. I spoke about the theme of "the evolution of cooperation" (in Nature) and about how that topic was amenable to studies involving Game Theory (which, more frequently, has been used in research in economics).After that event I was stimulated to think of the possibility of modeling cooperation in games through actions of acceptance in which one player could simply accept the "agency" of another player or of an existing coalition of players.The action of acceptance would have the form of being entirely cooperative, as if "altruistic", and not at all competitive, but there was also the idea that the game would be studied under circumstances of repetition and that every player would have the possibility of reacting in a non-cooperative fashion to any undesirable pattern of behavior of any another player. Thus the game studied would be analogous to the repeated games of "Prisoner's Dilemma" variety that have been studied in theoretical biology.These studies of "PD" (or "Prisoner's Dilemma") games have revealed the paradoxical possibility of the natural evolution of cooperative behavior when the interacting organisms or species are presumed only to be endowed with self-interested motivations, thus motivations of a non-cooperative type.

Suggested Citation

  • John F. Nash, 2008. "The Agencies Method For Modeling Coalitions And Cooperation In Games," International Game Theory Review (IGTR), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 539-564.
  • Handle: RePEc:wsi:igtrxx:v:10:y:2008:i:04:n:s0219198908002084
    DOI: 10.1142/S0219198908002084
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    References listed on IDEAS

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    1. Montero Garcia, P., 1998. "A bargaining game coalition formation," Discussion Paper 1998-106, Tilburg University, Center for Economic Research.
    2. Okada, Akira & 岡田, 章, 2005. "A Noncooperative Approach to General n-Person Cooperative Games," Discussion Papers 2005-01, Graduate School of Economics, Hitotsubashi University.
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    Cited by:

    1. Akira Okada, 2014. "The stationary equilibrium of three-person coalitional bargaining games with random proposers: a classification," International Journal of Game Theory, Springer;Game Theory Society, vol. 43(4), pages 953-973, November.
    2. Roberto Serrano, 2020. "Sixty-Seven Years of the Nash Program: Time for Retirement?," Working Papers 2020-20, Brown University, Department of Economics.
    3. Roberto Serrano, 2021. "Sixty-seven years of the Nash program: time for retirement?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(1), pages 35-48, March.
    4. Okada, Akira & 岡田, 章, 2012. "The Stationary Equilibrium of Three-Person Cooperative Games: A Classification," Discussion Papers 2012-06, Graduate School of Economics, Hitotsubashi University.
    5. Casajus, André & Kramm, Michael & Wiese, Harald, 2020. "Asymptotic stability in the Lovász-Shapley replicator dynamic for cooperative games," Journal of Economic Theory, Elsevier, vol. 186(C).

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      JEL classification:

      • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
      • C0 - Mathematical and Quantitative Methods - - General
      • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
      • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
      • D5 - Microeconomics - - General Equilibrium and Disequilibrium
      • D7 - Microeconomics - - Analysis of Collective Decision-Making
      • M2 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics

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