Planning Cooperative Homogeneous Multiagent System Using Markov Decision Processes

Iadine Chadès 1 Bruno Scherrer 1 François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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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Conference papers
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https://hal.inria.fr/inria-00099537
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Submitted on : Tuesday, September 26, 2006 - 9:38:24 AM
Last modification on : Thursday, January 11, 2018 - 6:19:51 AM

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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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