• DocumentCode
    466909
  • Title

    A Novel Strategy of Coalition Evolvement Based on Interest

  • Author

    Yin Xiang ; Jiang Jianguo ; Xia Na

  • Author_Institution
    Hefei Univ. of Technol., Hefei
  • Volume
    1
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    611
  • Lastpage
    615
  • Abstract
    Cooperating and sharing resources by creating coalitions of agents are important ways for autonomous agents to execute tasks and to maximize their payoff. However coalition formation is a complex process which usually causes a mass of computation and communication. In this paper, we focus on situations where time is limited and coalitions may be formed as soon as possible. To address this problem, we have developed a novel strategy of coalition evolvement based on fuzzy interest and provide it with a modification rule. By theoretical analysis, we show the strategy is simple, efficient and easy to implement.
  • Keywords
    fuzzy set theory; multi-agent systems; autonomous agent; coalition evolvement; fuzzy set theory; multiagent system; resource sharing; Artificial intelligence; Autonomous agents; Computational complexity; Computer networks; Concurrent computing; Distributed computing; Game theory; Information science; Software engineering; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.356
  • Filename
    4287580