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Communication Dans Un Congrès Année : 2003

Planning Cooperative Homogeneous Multiagent System Using Markov Decision Processes

Résumé

This paper proposes a decision­theoric approach for designing a set of situated agents so that they can solve a cooperative problem. The design of each agent's behavior results from solving a decentralized partially observable markov decision process (DEC­POMDP). But, as solving a DEC­POMDP is NEX P­complete, we propose an approximate solution to this problem based on subjectivity and empathy.
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Dates et versions

inria-00099537 , version 1 (26-09-2006)

Identifiants

  • HAL Id : inria-00099537 , version 1

Citer

Iadine Chadès, Bruno Scherrer, François Charpillet. Planning Cooperative Homogeneous Multiagent System Using Markov Decision Processes. 5th International Conference on Enterprise Information Systems - ICEIS 2003, 2003, Angers, France. ⟨inria-00099537⟩
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