Learning Urban Cellular Automata In A Real World

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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.