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Helli-Respina 2001 Team Description Paper

  • Bahador Nooraei B. 
  • Siavash Rahbar N. 
  • Omid Aladini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2377)

Abstract

One of the most important problems for development of intelligent agents is adaptation to the environment. In this paper we briefly describe Helli-Respina soccer simulator team that uses a new self-adaptive method named Dynamic Multi-Behavior Assessment (DMBA). By using built-in behavior manager named dynamic behavior transformer method lets the agent can choose the best algorithms to decide during the game. This system always tries to choose a set of available algorithms to get the best result against each opponent. The main objective in this research is how to choose a set of algorithms dynamically to get the best result against an opponent.

Keywords

Intelligent Agent Agent Architecture Server Cycle Opponent Team Unsupervised Machine Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bahador Nooraei B., Omid Aladini and Siavash Rahbar N.: Dynamic multi-behavior assessment:an approach to unsupervised machine learning, (2001)Google Scholar
  2. 2.
    Peter Stone, Manuela Veloso and Patrick Riley: The CMUnited99 soccer simulator team, (1999)Google Scholar
  3. 3.
    Hironori Aoyagi, Hiroki Shimora, Takuya Morishita, Tomomi Kawarabayashi, Takenori Kubo, Kyouiti Hiroshima, Junji Nishino: The Zeng 99 soccer simulator team, (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Bahador Nooraei B. 
    • 1
  • Siavash Rahbar N. 
    • 1
  • Omid Aladini
    • 1
  1. 1.National Organization for Development of Exceptional TalentsAllameh Helli High SchoolTehranIran

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