Evolving modular genetic regulatory networks

  • Authors:
  • J. Bongard

  • Affiliations:
  • Artificial Intelligence Lab., Zurich Univ., Switzerland

  • Venue:
  • CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
  • Year:
  • 2002

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Abstract

We introduce a system that combines ontogenetic development and artificial evolution to automatically design robots in a physics-based, virtual environment. Through lesion experiments on the evolved agents, we demonstrate that the evolved genetic regulatory networks from successful evolutionary runs are more modular than those obtained from unsuccessful runs.