Methods for Competitive and Cooperative Co-Evolution

Adaptation, Coevolution, and Learning in Multiagent Systems

Volume

Papers from the 1996 AAAI Spring Symposium

Contents

We have been investigating evolutionary methods to design behavioral strategies for intelligent robots in multi-agent environments. Such ~nvironments resemble an ecological system in which species evolve and adapt in a complex interaction with other evolving and adapting species. This paper will report on our investigations of alternative co-evolutionary approaches in the context of a simulated multi-agent environment.