• DocumentCode
    3098605
  • Title

    Multi-Agent Coalition Formation for Long-Term Task or Mobile Network

  • Author

    Lee, Hsiu-Hui ; Chen, Chung-Hsien

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei
  • fYear
    2006
  • fDate
    Nov. 28 2006-Dec. 1 2006
  • Firstpage
    52
  • Lastpage
    52
  • Abstract
    Coalition formation is a process to form a group and solve a problem via cooperation. Because of the rising of network, each computing device can communicate through network. We can integrate those resources and use them by coalition formation. In this paper, we propose a new architecture which integrates case-based reasoning, negotiation, and reinforcement learning to improve the coalition formation process. Coalitions of our architecture suit for executing long- term task or for accomplishing a task in high mobility networks. Our experiments also show the advantage of our architecture in these two different environments.
  • Keywords
    case-based reasoning; learning (artificial intelligence); mobile computing; multi-agent systems; case-based reasoning; long-term task; mobile network; mobility networks; multiagent coalition formation; reinforcement learning; Competitive intelligence; Computational intelligence; Computer architecture; Computer networks; Consumer electronics; Grid computing; Learning; Mobile computing; Pervasive computing; Ubiquitous computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7695-2731-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2006.151
  • Filename
    4052696