MODELING OF OBESITY EPIDEMICS BY INTELLIGENT AGENTS

Agostino G. Bruzzone
MISS DIPTEM University of Genoa
Email agostino@itim.unige.it - URL www.itim.unige.it

Vera Novak
BIDMC, Harvard Medical School
Email vnovak@bidmc.harvard.edu - URL http://www.bidmc.org/SAFE

Francesca Madeo
M&S Net
Email francesca.madeo@m-s-net.org - URL www.m-s-net.org

Cecilia Cereda
Simulation Team
Email cecilia.cereda@simulationteam.com - URL www.simulationteam.com

KEYWORDS

Health Care, Simulation, Intelligent Agents, Human Behavior Modeling

ABSTRACT

The paper focuses on a large scale problem related to population health care with special attention to obesity. The authors present a proposal for modeling human behavior and its influence on the evolution of obesity epidemics, and its effects on social networks, infrastructures and facilities. This approach is based on Intelligent Agents tools developed for reproducing country reconstruction and human factors. These models represents the base that allows to add specific and complex aspects related to pathologies and correlated behaviors that allows to reproduce these phenomena.