This entry discusses the application of computational agent-based models (ABM) in exploring the ramifications of crime event mechanisms proposed by criminological theory. In particular, it describes how simulation experiments can be used to systematically assess the plausibility of crime event theories in explaining commonly observed patterns of crime and how the use and development of ABM may offer a viable method of theoretical prototyping free from traditional empirical constraints which in turn encourages theorists to explicitly specify the mechanisms by which they propose observed crime phenomena come about.