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Répartition spatiale en théorie des jeux évolutionnaires

Rémi Dorat 1, 2 
2 SMAC - Systèmes Multi-Agents et Comportements
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : The thesis continues the work of Evolutionary Game Theory. This theory is a framework for modeling the dynamics of populations interactions betwcen agents are modeled by the classic dilemmas from Game Theory. The agents interaet with their peers. Best behaviors spread. less suecessful ones tend to disappear. Evolutionary Game Theory prondes conditions upon which cooperative behaviors can survive and cooperative equilibriums can appear. Assuming that each agent does not interact with all the others but only with a fixed group of neighbors greatly increases the number of possible dynamics. The relations between agents form a social network. Limitation of contacts between agents favors cooperative equilibrium and biodiversity. Nevertheless, formal approach to the models is no longer possible and they are studied through massive computer simulations. The thesis continues the study of the impact of social networks. lt introduces networks of communities, a new model where commnnities are networked rather than agents. This model exhibits new forms of eooperative convergence and new conditions to persistent biodiversity. The thesis also shows the possibility of convergence of markets towards non-competitive equilibriums and the survival of behaviors collectively able to reach cartel equilibrium, a particular form of cooperative equilibrium.
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Submitted on : Thursday, June 27, 2013 - 11:44:25 PM
Last modification on : Tuesday, December 6, 2022 - 12:42:13 PM
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  • HAL Id : tel-00839387, version 1


Rémi Dorat. Répartition spatiale en théorie des jeux évolutionnaires. Intelligence artificielle [cs.AI]. Université des Sciences et Technologie de Lille - Lille I, 2009. Français. ⟨NNT : ⟩. ⟨tel-00839387⟩



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