Development and Evolution of Neural Networks in an Artificial Chemistry

Details Development and Evolution of Neural Networks in an Artificial Chemistry Development and Evolution of Neural Networks in an Artificial Chemistry

1998-07-17

arxiv.org/abs/adap-org/9807003v1

Computer Science

Neural and Evolutionary Computing

8 pages LaTeX, style file included, 8 embedded postscript figures. To be published in Proc. of 3rd German Workshop on Artifici

Scientific paper

We present a model of decentralized growth for Artificial Neural Networks (ANNs) inspired by the development and the physiology of real nervous systems. In this model, each individual artificial neuron is an autonomous unit whose behavior is determined only by the genetic information it harbors and local concentrations of substrates modeled by a simple artificial chemistry. Gene expression is manifested as axon and dendrite growth, cell division and differentiation, substrate production and cell stimulation. We demonstrate the model's power with a hand-written genome that leads to the growth of a simple network which performs classical conditioning. To evolve more complex structures, we implemented a platform-independent, asynchronous, distributed Genetic Algorithm (GA) that allows users to participate in evolutionary experiments via the World Wide Web.

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