Abstract
The subject of the paper is a cellular automata with evolutionary transition functions, applied in urban context. Using a cellular automata to describe a phenomenon, the definition of the model consists in building the local transition rules; this process may be supported by a machine learning tool like a Learning Classifiers System. Because this formalism uses genetic algorithms to select and to find rules, the model is explicitly evolutionary.
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© 1997 Springer-Verlag London Limited
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Papini, L., Rabino, G.A. (1997). Urban Cellular Automata: An Evolutionary Prototype. In: ACRI ’96. Springer, London. https://doi.org/10.1007/978-1-4471-0941-9_15
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DOI: https://doi.org/10.1007/978-1-4471-0941-9_15
Publisher Name: Springer, London
Print ISBN: 978-3-540-76091-7
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