Modularity in Evolved Artificial Neural Networks
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots
Biologically inspired robot behavior engineering
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A lot of recent research papers focus on the challenging problem of the combination of genetic algorithms and artificial neural networks. Developmental and molecular biology may be a source of inspiration for designing powerful artificial neurogenesis systems allowing the generation of complex modular structures. This paper describes in details such a neurogenesis model associated with an evolutionary process and its application to the control of a mobile robot. Early results demonstrate the surprising efficiency of this methodology and give hints to continue the research towards the generation of more complex adaptive neural networks.