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A Developmental Model for the Evolution of Artificial Neural Networks

Astor, J. C. and Adami, C. (2000) A Developmental Model for the Evolution of Artificial Neural Networks. Artificial Life, 6 (3). pp. 189-218. ISSN 1064-5462. doi:10.1162/106454600568834.

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We present a model of decentralized growth and development for artificial neural networks (ANNs), inspired by developmental biology and the physiology of 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. The chemicals and substrates, in turn, are modeled by a simple artificial chemistry. While the system is designed to allow for the evolution of complex networks, we demonstrate the power of the artificial chemistry by analyzing engineered (handwritten) genomes that lead to the growth of simple networks with behaviors known from physiology. To evolve more complex structures, a Java-based, platform-independent, asynchronous, distributed genetic algorithm (GA) has been implemented that allows users to participate in evolutionary experiments via the World Wide Web.

Item Type:Article
Related URLs:
URLURL TypeDescription
Adami, C.0000-0002-2915-9504
Additional Information:© 2001 Massachusetts Institute of Technology. This work was supported in part by the NSF under grant PHY-9723972, as well as a fellowship of the Studienstiftung des Deutschen Volkes to J.A.
Funding AgencyGrant Number
National Science FoundationPHY-9723972
Studienstiftung des Deutschen VolkesUNSPECIFIED
Subject Keywords:artificial neural network, (distributed) genetic algorithms, neurogenesis, gene expression, artificial chemistry, artificial life, Java
Issue or Number:3
Record Number:CaltechAUTHORS:ASTal00
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:12383
Deposited On:14 Nov 2008 18:34
Last Modified:08 Nov 2021 22:28

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