Abstract
The article compares computational and mathematical models and reviews three phases in social simulation - dynamical systems, microsimulation, and agent-based modeling. The latter can be used to identify possible micro-level mechanisms that might account for puzzling empirical patterns and to identify population-level implications of a set of behavioral and structural assumptions about individual interaction. Classic examples include Schelling's model of residential segregation and Axelrod's model of the evolution of cooperation. The article concludes with an assessment of important criticisms.
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