Abstract

The slogan, or the KISS principle has been the basic guideline in agent-based modeling. While the KISS principle or parsimony is vital in modeling attempts, conventional agent-based models remain abstract and are rarely incorporated or validated with empirical data, leaving the links between theoretical models and empirical phenomena rather loose. This article reexamines the KISS principle and discusses the recent modeling attempts that incorporate and validate agent-based models with spatial data, moving beyond the KISS principle. This article also provides a working example of such time and space specified agent-based models that incorporates Schelling's classic model of residential segregation with detailed geo-referenced demographic data on the city of Chicago derived from the US Census 2010