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Efficient Computer Morphogenesis: A Pictorial Demonstration

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  • Fr'ed'eric Gruau

Abstract

This paper illustrates that artificial morphogenesis can be a computationally efficient technique. Artificial morphogenesis can develop graph grammar into modular Artificial Neural Networks (ANN), made of a combination of more simple sub-networks. The genetic algorithm is used to evolve coded grammar that generate ANNs for a simplified six-legged robot. The genetic algorithm can automatically decompose a problem into sub-problems, generate a sub-ANN for solving the sub-problem, and instanciate copies of this sub-ANN to build a higher level ANN that solves the problem. We support our argumentation with pictures describing the morphogenesis and illustrating how ANN structures are evolved.

Suggested Citation

  • Fr'ed'eric Gruau, 1994. "Efficient Computer Morphogenesis: A Pictorial Demonstration," Working Papers 94-04-027, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:94-04-027
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