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Modeling Task and Teams through Game Theoretical Agents

Michel RudnianskiContact Information and Héléne BestougeffContact Information

(4)  University of Reims, ARESAD, 39 bis Avenue Paul Doumer, 75116 Paris, France
(5)  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.

Contact Information Michel Rudnianski
Email: Michel.Rudnianski@wanadoo.fr

Contact Information Héléne Bestougeff
Email: bestoug@ladl.jussieu.fr
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