In the last few years an increasing number of more compli- cated Agent-Based Models have been designed with the aim of approach- ing reality more closely, usually by introducing more and more empirical data. In this paper we review diﬀerent approaches that could be adopted: KISS, KIDS and a new one that lies between both. We then propose a new logic of simulation driven by empirical data. Because the emphasis on collected data aﬀects the model’s design and initialisation, as well as its validation, we provide guidelines for data injection, ﬂow diagrams of well-deﬁned stages, and suggest the application of some Artiﬁcial Intel- ligence technologies.
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