Imitation in Embodied Agents Results in Self-organization of Behavior

Abstract

This paper addresses the construction and learning of behavior through imitation. We explore imitation as a framework to create and sustain behavior in a population of agents. Two experiments are presented, in simulation and on actual robots. These demonstrate how the behavior self-organizes through the interplay between the imitative interactions, the environment and the embodiment of the agents.