Neuro-Cellular Automata
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CSSS 2006 Santa Fe |
Neuro-Cellular Automata
A new type of Cellular Automata is presented and studied. On this automata, the standard way of representing the rules is replaced by an Artificial Neural Network, thus having a more biological inspired automata. It is described the motivation for the development for this kind of automata, as well as, the study that shows its development. The study uses the simple 1D Cellular Automata, enabling an understanding of the needed complexity for the Neural Networks, how to evaluate the automata by using complexity measures, as well as the evolution, of simple Neuro-Cellular Automata, as means for the design of such systems.
Interested participants: Jorge Tavares, Cornelia Kreutzer, Anna Fedor
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