Abstract
Learning C.A. is a cellular automaton coupled with a classifier system, in order to discover the transition rules for the automaton from experimental data. This new model is applied for the first time to a real urban system. The paper discusses the problem of applying C.A. to an urban system in a realistic way, and it presents the first results obtained with the model.
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© 1998 Springer-Verlag London Limited
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Colonna, A., Di Stefano, V., Lombardo, S., Papini, L., Rabino, G.A. (1998). Learning Urban Cellular Automata In A Real World. 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_16
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DOI: https://doi.org/10.1007/978-1-4471-1281-5_16
Publisher Name: Springer, London
Print ISBN: 978-1-85233-048-4
Online ISBN: 978-1-4471-1281-5
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