Modèle global et paramétrable, pour la gestion des foules d'agents en animation comportementale

Abstract : The realism of crowd behavioral animation is based on one hand on a rendering of graphic scenes generated by the application, and on the other hand on the realism of the behavior. This is last point which is our object of study. The realism of crowds' behavior is essentially global (macroscopic realism). It must respect the required statistical characteristics of the crowd (density, dispersal, speed…) similar to those of a real crowd. The realism is also local (microscopic realism), i.e. agents should ideally behave like humans or human groups taken as reference, at least in the focus of the considered application. The aim of our research is to propose a generic model to perform crowd behavior simulation in order to simultaneously satisfy the criterion of macroscopic and microscopic realism and that may be used to build various crowd behavioral simulations (homogeneous crowds, groups, collections of agents). To do this, we identified some simple principles and inexpensive resources; we introduce the notion of context (global, localized, and propagator). Global contexts applied to a group of agents, it tends to give them the same behavior and thus constitutes a means for global control of those agents (macroscopic realism). Propagator contexts allow the propagation of information among agents (communication). Agents are themselves equipped with tendencies that differentiate them within the context, and give them a variety of behaviors that contributes to microscopic realism.
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Hakim Soussi. Modèle global et paramétrable, pour la gestion des foules d'agents en animation comportementale. Autre [cs.OH]. Université de Bourgogne, 2011. Français. ⟨NNT : 2011DIJOS069⟩. ⟨tel-00762319⟩

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