• DocumentCode
    1680271
  • Title

    Coalition Formation Strategies for Multiagent Hedonic Games

  • Author

    Génin, Thomas ; Aknine, Samir

  • Author_Institution
    Lab. d´´Inf. de Paris 6, Univ. Pierre et Marie Curie, UPMC, Paris, France
  • Volume
    1
  • fYear
    2010
  • Firstpage
    465
  • Lastpage
    472
  • Abstract
    In a multiagent system, coalition formation is a coordination method for agents aiming to form groups of interest. In this paper, we focus on the particular context of hedonic games. In hedonic games, the objective of the agents is to form coalitions, which are groups of agents. The satisfaction of an agent depends on other members of its coalition. In this context, autonomous agents need strategical behaviors to efficiently form their coalitions. In this article, we describe two types of strategies which could be used by agents: proposal acceptance strategies, used by agents to decide to join a coalition and proposal selection strategies, based on the analysis of the history of a negotiation, used by agents to select interesting coalitions to propose to other agents. Then we present our experiments and discuss the results we have obtained. We underline that a compromise between high and low selectivity allows agents to obtain a higher probability to form coalitions with a satisfying utility. Our proposal selection strategies allow agents to reduce the number of proposals to send during the coalition formation process without losing much utility. This speeds up considerably the process.
  • Keywords
    multi-agent systems; probability; autonomous agents; coalition formation process; coalition formation strategy; coordination method; multiagent hedonic games; multiagent system; probability; proposal acceptance strategy; proposal selection strategy; satisfying utility; strategical behaviors; Context; Games; History; Multiagent systems; Proposals; Protocols; Waste materials; Multiagent Systems; coalition formation; hedonic games;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
  • Conference_Location
    Arras
  • ISSN
    1082-3409
  • Print_ISBN
    978-1-4244-8817-9
  • Type

    conf

  • DOI
    10.1109/ICTAI.2010.72
  • Filename
    5670071