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. © 2002 IEEE.
CITATION STYLE
Bongard, J. (2002). Evolving modular genetic regulatory networks. In Proceedings of the 2002 Congress on Evolutionary Computation, CEC 2002 (Vol. 2, pp. 1872–1877). IEEE Computer Society. https://doi.org/10.1109/CEC.2002.1004528
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