On the Artificial Evolution of Neural Graph Grammars

@inproceedings{Powers2003OnTA,
  title={On the Artificial Evolution of Neural Graph Grammars},
  author={David M. W. Powers},
  year={2003}
}
Artificial neural networks and other connectionist models of computation are frequently credited with biological plausibility. Since biological systems are products of Darwinian evolution, network optimisation by artificial evolutions has considerable appeal. However, the computational expense of this can become prohibitive unless an emphasis is placed on modularity and reuse. Gene expression holds the answer to this. Genes are translated into proteins that self-organize into phenotypic traits… CONTINUE READING
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