Co-evolving Soccer Softbot Team Coordination with Genetic Programming
RoboCup-97: Robot Soccer World Cup I
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This paper describes the Gnez RoboCup simulation team. we have investigated an evolutional acquisition method of the situation recognizer for a RoboCup soccer agent. We apply Hierarchical Fuzzy Intelligent Controller to decide soccer agents' behavior, and implementing the behavior rules, which consist of condition and behavior. We try to acquire ball-kickable condition recognizer with Genetic Algorithm. On a single agent game, we get gene that can recognize ball-kickable condition actually. And the recognizer is effective enough to use as ballkickable condition.