• DocumentCode
    352673
  • Title

    On multi-agent collaborative planning and its application in RoboCup

  • Author

    Guiquan, Liu ; Xiaoping, Chen ; Xufa, Wang ; Bo Zhang

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    184
  • Abstract
    The RoboCup soccer tournament is a very important research area within AI. This paper studies about some theoretical and technical issues of the application of a multi-agent collaborative planning theory to RoboCup. In this paper, a new theory of multi-agent collaborative planning is first discussed, then the framework of a multi-agent collaborative system based on the theory is proposed. Finally, the application of the framework to RoboCup and how machine learning can be integrated in the system are also studied in the paper
  • Keywords
    learning (artificial intelligence); mobile robots; multi-agent systems; planning (artificial intelligence); AI; RoboCup; coorperative systems; machine learning; multiple-agent system; robotic soccer; team work; Application software; Artificial intelligence; Collaboration; Computer science; Helium; Multiagent systems; Teamwork; Technology planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.859944
  • Filename
    859944