skip to main content
10.1145/1830761.1830865acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
extended-abstract

Emergence of cooperative societies in evolutionary games

Published:07 July 2010Publication History

ABSTRACT

We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in it. We present a novel player model based upon empirical evidence from the social and behavioral sciences, stating that: (1) an individual's behavior may often be motivated not only by self-interest but also by the consequences for the others, and (2) individuals vary in their interpersonal social tendencies, which reflect stable personal orientations that influence their choices.

We present series of evolutionary simulations that ratify previous findings on evolution of cooperation, and provide new insights on the evolutionary process of cooperative behavior in a society as well as on the emergence of cooperative societies. Our main experimental result demonstrate that in contrast to previous common knowledge, increasing the value of mutual Reward or increasing mutual Punishment in the Prisoner's dilemma game do not result in the same type of cooperative society: while increasing R does result in a more cooperative society, increasing P does not.

References

  1. R. Axelrod and W. Hamilton. The evolution of cooperation. Science, 211(4489):1390, 1981.Google ScholarGoogle ScholarCross RefCross Ref
  2. S. Bogaert, C. Boone, and C. Declerck. Social value orientation and cooperation in social dilemmas: A review and conceptual model. British Journal of Social Psychology, 47(3):453--480, 2008.Google ScholarGoogle ScholarCross RefCross Ref
  3. K.-L. Cheng, I. Zuckerman, U. Kuter, and D. Nau. Emergence of Cooperative Societies in Evolutionary Games. In Workshop on Evolutionary Computation and Multiagent Systems Simulation of GECCO, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. C. G. M. David M. Messick. Motivational bases of choice in experimental games. Experimental Social Psychology, 1(4):1--25, 1968.Google ScholarGoogle ScholarCross RefCross Ref
  5. A. Eriksson and K. Lindgren. Evolution of strategies in repeated stochastic games with full information of the payoff matrix. In GECCO, pages 853--859, 2001.Google ScholarGoogle Scholar
  6. R. Hoffmann. Twenty years on: The evolution of cooperation revisited. J. Artificial Societies and Social Simulation, 3(2), 2000.Google ScholarGoogle Scholar
  7. C. G. McClintock and S. T. Allison. Social value orientation and helping behavior. Journal of Applied Social Psychology, 19(4):353--362, 1989.Google ScholarGoogle ScholarCross RefCross Ref
  8. M. Nowak and K. Sigmund. Tit for tat in heterogeneous populations. Nature, 355(6357):250--253, 1992.Google ScholarGoogle ScholarCross RefCross Ref
  9. M. Nowak and K. Sigmund. A strategy of win-stay, lose-shift that outperforms tit-for-tat in the prisoner's dilemma game. Nature, 364(6432):56--58, July 1993.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Emergence of cooperative societies in evolutionary games

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
        July 2010
        1496 pages
        ISBN:9781450300735
        DOI:10.1145/1830761

        Copyright © 2010 Copyright is held by the author/owner(s)

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 July 2010

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • extended-abstract

        Acceptance Rates

        Overall Acceptance Rate1,669of4,410submissions,38%

        Upcoming Conference

        GECCO '24
        Genetic and Evolutionary Computation Conference
        July 14 - 18, 2024
        Melbourne , VIC , Australia
      • Article Metrics

        • Downloads (Last 12 months)0
        • Downloads (Last 6 weeks)0

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader