Abstract
We present results from experiments in which a genetic algorithm (GA) is used to evolve two dimensional cellular automata (CA) to perform a particular computational task (“density classification”) that requires globally-coordination information processing. The results are similar to that of earlier work on evolving one-dimensional CAs. The behavior of the evolved two-dimensional CAs is analyzed, and their performance is compared with that of several hand-designed two-dimensional CAs.
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© 1998 Springer-Verlag London Limited
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Morales, F.J., Crutchfield, J.P., Mitchell, M. (1998). Evolving Two-Dimensional Cellular Automata to Perform Density Classification: A Report on Work in Progress. In: Bandini, S., Serra, R., Liverani, F.S. (eds) Cellular Automata: Research Towards Industry. Springer, London. https://doi.org/10.1007/978-1-4471-1281-5_1
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DOI: https://doi.org/10.1007/978-1-4471-1281-5_1
Publisher Name: Springer, London
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