• DocumentCode
    531062
  • Title

    Using a Social Orientation Model for the Evolution of Cooperative Societies

  • Author

    Cheng, Kan-Leung ; Zuckerman, Inon ; Kuter, Ugur ; Nau, Dana

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA
  • Volume
    2
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 3 2010
  • Firstpage
    431
  • Lastpage
    438
  • Abstract
    We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. 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 others, and (2) individuals vary in their interpersonal social tendencies, which reflect stable personal orientations that influence their choices. Alongside the formal player model we provide an analysis that considers possible interactions between different types of individuals and identifies five general steady-state behavioral patterns. We present 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 demonstrates that in contrast to previous common knowledge, increasing mutual reward or mutual punishment in the Prisoner´s dilemma game does not result in the same type of cooperative society: while increasing reward does increase the society´s cooperativeness level, increasing mutual punishment does not.
  • Keywords
    behavioural sciences; cooperative systems; game theory; social sciences; behavioral science; cooperative society; evolutionary simulation; formal player model; game theory; social orientation model; social science; steady-state behavioral pattern; Biological system modeling; Computational modeling; Game theory; Games; Humans; Societies; Steady-state; Cooperation; Evolutionary Game Theory; Social Orientations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
  • Conference_Location
    Toronto, ON
  • Print_ISBN
    978-1-4244-8482-9
  • Electronic_ISBN
    978-0-7695-4191-4
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2010.62
  • Filename
    5614803