Generating Dynamic Formation Strategies Based on Human Experience and Game Conditions

  • Authors:
  • John Atkinson;Dario Rojas

  • Affiliations:
  • Department of Computer Sciences, Universidad de Concepcion, Concepcion, Chile;Department of Computer Sciences, Universidad de Concepcion, Concepcion, Chile

  • Venue:
  • RoboCup 2007: Robot Soccer World Cup XI
  • Year:
  • 2008

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Abstract

In this paper, a new approach to automatically generating game strategies based on the game conditions is presented. A game policy is defined and applied by a human coach who establishes the attitude of the team for defending or attacking. A simple neural net model is applied using current and previous game experience to classify the game's parameters so that the new game conditions can be determined so that a robotic team can modify its strategy on the fly. Results of the implemented model for a robotic soccer team are discussed.