AN EVOLUTIONARY COMPUTATION APPROACH TO GROUP BEHAVIOR ACQUISITION IN AUTONOMOUS ROBOTS

This paper attempts to show the interrelationship between the autonomy of individual mobile robots and the evolution of their group behavior.Towards this end,we demonstrate how a genetic algorithm can be applied to evolve some globally optimal group behavior among autonomous robots,by way of selecting the appropriate sensory and behavioral parameters as well as specific task configurations.