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Learning cooperative behavior in multi-agent environment a case study of choice of play-plans in soccer

  • Noda Itsuki
  • Matsubara Hitoshi
  • Hiraki Kazuo
Intelligent Agents
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1114)

Abstract

Soccer, association football, is a typical team-game, and is considered as a standard problem of multi-agent system and cooperative computation. We are developing Soccer Server, a simulator of soccer, which provides a common test-bench to evaluate various multi-agent systems and cooperative algorithms. We are working on learning co-operative behavior in multi-agent environment using the server. In this article, we report a result of case study of learning selection of play-plans in multi-agent environment.

Keywords

Multi-agent System Machine Learning Neural Networks 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Noda Itsuki
    • 1
  • Matsubara Hitoshi
    • 1
  • Hiraki Kazuo
    • 1
  1. 1.Electrotechnical LaboratoryIbarakiJapan

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