• DocumentCode
    1811302
  • Title

    An Evolutionary Cooperative Mechanism for Multi-agent System

  • Author

    Liu, Renping ; Wang, Yuehai

  • Author_Institution
    Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    24-25 July 2010
  • Firstpage
    146
  • Lastpage
    149
  • Abstract
    The optimal solution for the cooperation win-win task for Multi-agent system (MAS) was studied and a automatic negotiation reciprocal mechanism was build in this paper for the typical case of multi- agent foraging. The equivalences between agent in MAS and player in game theory, optimal solution in MAS and equilibrium in game theory, and cooperation task in MAS and multi-stage Markov game were then established. To the difficulties of equilibriums selection, a hawk dove game model, which is a uncorrelated asymmetry game, is build from the point view of evolutionary game theory. And a self-enforcing cooperative algorithm based on replicator dynamic was proposed to find the evolutionary stable strategy of hawk dove game. The simulation verified the effectiveness of the proposed approach.
  • Keywords
    Markov processes; evolutionary computation; game theory; multi-agent systems; cooperation win-win task; evolutionary cooperative mechanism; evolutionary game theory; game theory; hawk dove game model; multi-agent foraging; multi-agent system; multistage Markov game; negotiation reciprocal mechanism; self-enforcing cooperative algorithm; Computer science; Decision support systems; Information technology; MAS; evolutionary cooperative mechanism; hawk dove game; multi-agent foraging; replicator dynamic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science (ITCS), 2010 Second International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4244-7293-2
  • Electronic_ISBN
    978-1-4244-7294-9
  • Type

    conf

  • DOI
    10.1109/ITCS.2010.42
  • Filename
    5557310