Competitive co-evolution of predator and prey sensory-motor systems

Authors:
Gunnar Búason;Tom Ziemke
Affiliations:
Department of Computer Science, University of Skövde, Skövde, Sweden;Department of Computer Science, University of Skövde, Skövde, Sweden
Venue:
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Year:
2003

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Abstract

A recent trend in evolutionary robotics research is to maximize self-organization in the design of robotic systems in order to reduce the human designer bias. This article presents simulation experiments that extend Nolfi and Floreano's work on competitive co-evolution of neural robot controllers in a predator-prey scenario and integrate it with ideas from work on the 'coevolution' of robot morphology and control systems. The aim of the twenty-one experiments summarized here has been to systematically investigate the tradeoffs and interdependencies between morphological parameters and behavioral strategies through a series of predator-prey experiments in which increasingly many aspects are subject to self-organization through competitive co-evolution. The results illustrate that competitive co-evolution has great potential as a method for the automatic design of robotic systems.