• DocumentCode
    2014758
  • Title

    Learning in coach-based distributed multi-agent system

  • Author

    Hong, Huang ; Yong-chun, Yu ; Xin, Gao

  • Author_Institution
    Dept. of Autom. Control, Beijing Inst. of Technol., China
  • Volume
    3
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    2520
  • Abstract
    The distributed multi-agent system (DMAS) is a significant research topic in artificial intelligence, the crossing of distributed multi-agent intelligence and machine learning is focused on by many researchers. The paper introduces some learning methods in DMAS and puts forward that an agent can improve the ability of predicting other agents´ actions.
  • Keywords
    learning (artificial intelligence); multi-agent systems; SoccerServer; coach-based distributed multi-agent system; distributed artificial intelligence; distributed multi-agent intelligence; machine learning; Artificial intelligence; Feedback; Intelligent agent; Learning systems; Machine learning; Multiagent systems; Paper technology; Pattern matching; Real time systems; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1021549
  • Filename
    1021549