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.