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Modular genetic neural networks for 6-Legged locomotion

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Artificial Evolution (AE 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1063))

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Abstract

This paper illustrates an artificial developmental system that is a computationally efficient technique for the automatic generation of complex Artificial Neural Networks (ANN). Artificial developmental system can develop a graph grammar into a modular ANN made of a combination of more simple subnetworks. Genetic programming is used to evolve coded grammars that generates ANNs for controlling a six-legged robot locomotion. A mechanism for the automatic definition of sub-neural networks is incorporated.

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Author information

Authors and Affiliations

  1. Psychology Department, Stanford University, 94305, Palo Alto, CA

    Frédéric Gruau

Authors
  1. Frédéric Gruau
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Editor information

Jean-Marc Alliot Evelyne Lutton Edmund Ronald Marc Schoenauer Dominique Snyers

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© 1996 Springer-Verlag Berlin Heidelberg

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Gruau, F. (1996). Modular genetic neural networks for 6-Legged locomotion. In: Alliot, JM., Lutton, E., Ronald, E., Schoenauer, M., Snyers, D. (eds) Artificial Evolution. AE 1995. Lecture Notes in Computer Science, vol 1063. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61108-8_39

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  • DOI: https://doi.org/10.1007/3-540-61108-8_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61108-0

  • Online ISBN: 978-3-540-49948-0

  • eBook Packages: Springer Book Archive

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