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Simulation à base d'agents de la propagation de la Schistosomiase : une approche de composition et de déploiement de modèles

Abstract : Our thesis work focuses on agent-based modeling and simulation of complex systems, applied to the spread of schistosomiasis. Specially, we were interested in the spatial and social aspects of the spread of the disease, using an agent-based coupling approach of models.Indeed, we initially studied the mathematical modeling of schistosomiasis and the complexity of its propagation, which allowed us to identify two epidemiological dynamics (spatial and social dynamics) underlying the spread of schistosomiasis for which mathematical models have limits.This problematic led us to study separately these two dynamics and propose an agent-based model for each. These two agent-based models, representing two complementary dynamics of a system, were implemented according different formalisms and different platforms: one model on GAMA (an agent-based simulation platform); and another on JASON (a programming platform of BDI agents).The GAMA model implements the behavioral aspect (for the spatial dynamic) that focuses on individuals reactivity with regards to the physical environment, and the monitoring of the infection. The JASON model implements the decisional aspect (for the social dynamic) that introduces the cognitive and mental dimension of individuals, ensuring their decision and selection capacities which are determined by their social, cultural and economic environment.To ensure the composition of the two models, we proposed an agent-based coupling solution (co-simulation) of the two platforms (GAMA and JASON). We finally experienced the model with a case of dynamic spread of the disease in Niamey (Niger) for which data were available.
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Submitted on : Wednesday, June 14, 2017 - 10:46:07 AM
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  • HAL Id : tel-01538809, version 1


Papa Alioune Cissé. Simulation à base d'agents de la propagation de la Schistosomiase : une approche de composition et de déploiement de modèles. Modélisation et simulation. Université Pierre et Marie Curie - Paris VI; Université de Saint-Louis (Sénégal), 2016. Français. ⟨NNT : 2016PA066567⟩. ⟨tel-01538809⟩



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