Evolving modular genetic regulatory networks

@article{Bongard2002EvolvingMG,
  title={Evolving modular genetic regulatory networks},
  author={Josh C. Bongard},
  journal={Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)},
  year={2002},
  volume={2},
  pages={1872-1877 vol.2}
}
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. 

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