Agent Based Simulation Model For Obesity Epidemic Analysis

This research proposes a simulation model based on Intelligent Agents to reproduce human behavior and its influence on the evolution and impact of obesity epidemics. Based on our previous experiences on Human Behavior Models, we have developed a Library including Intelligent Agents for Computer Generated Forces (IA-CGF Libraries), designated to reproduce complex scenarios, with particular attention to non-conventional frameworks mediated by human behaviors on progression of obesity epidemics in the world. In this paper, we compared two scenarios (in Italy (obesity prevalence ∼10%) and in the U.S. (obesity prevalence ∼35%) based on different social and cultural condition in order to test, validate and calibrate the simulation model. The authors are interested in analyzing how simulation model results change by considering different social and cultural conditions in different countries. Actually Obesity is a real big problem for both USA and European countries, so it is necessary to take under control this phenomenon and above all to provide people and government with simulation models in order to promote specific actions and to guarantee population healthy and even less social costs.