ABSTRACT
New forms of simulation have come into popular use in geography and social science in recent years, supported by an array of advances both in the geographical sciences and in fields outside geography. These models and simulations can be characterized by a distinctly innovative approach to modeling — the geosimulation approach. Geosimulation is concerned with automata-based methodologies for simulating collectives of discrete, dynamic, and action-oriented spatial objects, combining cellular automata and multi-agent systems in a spatial context (Benenson and Torrens, 2004a, b). In geosimulation-style models, urban phenomena as a whole are considered as the outcome of the collective dynamics of multiple animate and inanimate urban objects.
