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Towards an intelligent system for decision making in pandemics case Auteur(s): BASILEU C., KABACHI N., LAMURE M. Actes de conférence: Conference: The 7th European Social Simulation Association Conference (Montpellier, FR, 2011-09-19) Publié: ESSA 2011, vol. (2011) p.. Résumé: This work proposes a modeling for providing a Multi Agents System (MAS) based decision tool in case of pandemics with the objective to preserve vital functions of society while containing the pandemics. Some works integrate people behaviors in their daily life to get a more realistic model for simulation. They mainly use a mathematical modeling based on random graphs for handling social network concept. However, that modeling suers of a major inconvenience: social relationships are modeled only by one undirected graph which does not sounds realistic. Our approach consists in generalizing random graphs by stochastic pretopology. Stochastic pretopology concepts are then inserted in a MAS coupled with a Geographical Information System (GIS).We are thus able to deal with spatial information and directly run simulations on georeferenced data. Such simulations provide usefull results for the decision making concerning healthcare system management. |







