• DocumentCode
    3043352
  • Title

    Modeling the Continual Interactions by Repeated Games of Two Agents

  • Author

    Huang, Yi-Pai ; Inohara, Takehiro

  • Author_Institution
    Dept. of Value & Decision Sci., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    2414
  • Lastpage
    2419
  • Abstract
    We construct one equilibrium named equilibrium of continual interactions in infinitely repeated games of two agents with discounting and perfect monitoring. The framework of the associated simple strategy profile is used to describe this equilibrium. This framework comprises three outcomes each of which specifies an infinite sequence of one-period action profiles. The outcome of interactions specifies agents´ interaction without terminations and each of other two specifies the termination triggered by the corresponding agent. At the interaction of the equilibrium, both two agents suffer no losses and may have chance to achieve the most efficient payoffs. Agents can charaterize the interaction by this equilibrium, that is, if the interaction satisfies equilibrium of continual interactions, then neither agent has incentive to trigger the termination of their interaction and they have a continual interaction, otherwise they have a terminated interaction. This equilibrium also forgives occasional deviations if the interaction is robust enough.
  • Keywords
    game theory; multi-agent systems; agent interaction; agent termination; associated simple strategy profile framework; continual interactions equilibrium; continual interactions modeling; infinitely repeated games; Automata; Games; History; Monitoring; Nash equilibrium; Switches; Thin film transistors; constructing equilibria; mutual minmax payoffs; subgame-perfect equilibrium; the associated simple strategy profile; trigger strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.412
  • Filename
    6722165