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Models of complex systems need not be themselves complex, let alone complicated. To illustrate this important point, a very simple cellular automaton model of rodent population dynamics is used to generate a wide variety of different spatiotemporal structures corresponding to different forms of equilibrium, cyclical, quasi-cyclical, and chaotic system behavior. The issue of complexity as it pertains to a number of different contemporary scientific fields is then discussed, and in particular its implications for prediction. The discussion ends with some general reflexions about modeling in human geography.
Helen Couclelis (Fri,) studied this question.