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Modeling Task and Teams through Game Theoretical Agents
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Modeling Task and Teams through Game Theoretical Agents
Michel Rudnianski4 and Héléne Bestougeff5 
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University of Reims, ARESAD, 39 bis Avenue Paul Doumer, 75116 Paris, France |
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University Paris VII - Denis Diderot, University of Marne la Vallée, 5 Boulevard Descartes-Champs sur Marne, 77454 Marne La Vallée Cedex2, France |
Abstract
Organizations are represented as conversational networks of agents, which interactions are modeled by a two-player game of
deterrence, i.e. a qualitative game based on the concept of threshold. A congestion control algorithm is then derived from
the game Boolean solution set. Last, analysis is extended to the case where the solution set is fuzzyfied. On the whole, the
approach enables a mix-management: decentralized when agents can manage their relations successfully by themselves; centralized
when the risk of congestion arises.
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