A genetic based approach to the problem of soccer playing using owa operator

This paper is an explanation of an approach to the problem of decision making in a multi agent system using genetic algorithm. The soccer game environment is chosen as the distributed system. This algorithm was tested during the Robocop competitions against other teams and could register important accomplishments. We also compare the performance of three averaging methodologies; simple weighted averaging approach, genetic algorithm with simple weighted average function, and genetic algorithm with an OWA function. The paper also elaborates ideas on bounded rationality and memorized estimation employed for making the problem tractable.