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From Self-Organized Systems to Collective Problem Solving

Vincent Chevrier 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : The reactive multi-agent approach emphasizes individual simplicity over the collective complexity of the task being performed. However, to apply such an approach to a problem, the components of the multi-agent system have to be designed in such a way that the society be able to fulfill its requirements with a reasonable efficiency. Inspiration from natural self-organized systems is a way to solve this conception issue. This article illustrates two cases of how natural self-organized systems can be transposed to engineer societies of agents that collectively solve problems. It presents two original self organized models conceived in cooperation with biologists and details how transposition principles have been used to design collective problem solving systems.
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Submitted on : Thursday, September 15, 2005 - 5:20:16 PM
Last modification on : Friday, February 26, 2021 - 3:28:04 PM

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Vincent Chevrier. From Self-Organized Systems to Collective Problem Solving. Marie-Pierre Gleizes, Andrea Omicini, Franco Zambonelli. Engineering Societies in the Agents World V: 5th International Workshop, ESAW 2004, Toulouse, France, October 20-22, 2004. Revised Selected and Invited Papers, 3451 (3451), Springer-Verlag GmbH, pp.222-230, 2005, Lecture Notes in Computer Science, 0302-9743. ⟨10.1007/11423355_16⟩. ⟨inria-00000224⟩



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