An Agent-Based Model of Mortality Shocks, Intergenerational Effects, and Urban Crime
This paper presents an agent-based model of urban crime, mortality, and exogenous population shocks. Agent decision making is built around a career maximization function, with life expectancy as the key independent variable. Individual rationality is bounded by locally held information, creating a strong delineation between an objective and subjective reality. The effects of population shocks are explored using the Crime and Mortality Simulation (CAMSIM), with effects demonstrated to persist across generations. The potential for social simulation as a tool for the integration of theory across multiple disciplines is explored. CAMSIM is available via the web for future research by modelers and other social scientists.
|Date of creation:||11 Nov 2005|
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