Emergence of Cooperative Tactics by Soccer Agents with Ability of Prediction and Learning

  • Authors:

  • Yoichiro Kumada;Kazuhiro Ueda

  • Affiliations:

  • -;-

  • Venue:
  • ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
  • Year:
  • 2001

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Abstract

This paper describes soccer agents that can learn by themselves to make use of emergent cooperative tactics. Considering the methods that actual coaches of soccer help their players to learn the way of good play, we developed a mechanism of learning to distinguish good tactics from bad ones. The agents adaptively learned the utilities of the situations and the conditional probabilities about the situations in order to predict the opponents' behavior and in order to select good actions. The agents cooperatively created some combinations of passes, such as a wall pass and a one-two pass which we had never taught in advance how to execute.