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Systèmes de Classeurs et Communication dans les Systèmes Multi-Agents

Abstract : We focused on the communication problem within multi-agents systems, inspirited by nature and more precisely by the ants that are a perfect example of living integrating learning (ontogenesis) to genetic inheritance (phylogenesis): the Baldwin Effect.
We worked with agents represented by classifiers systems using genetic algorithm. We introduced a new fixed knowledge based classifiers system, the simplified Pittsburgh classifier system, which we studied in a spontaneous coordination multi-agents problem. Then, we successfully allowed “homogeneous” agents to communicate their “knowledge” using distributed elitism.
Finally, “heterogeneous” agents efficiently exchanged information thanks to a minimal communication model we defined, bound to reality and extended.
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Contributor : Gilles Enee <>
Submitted on : Tuesday, November 27, 2007 - 4:51:51 PM
Last modification on : Monday, October 12, 2020 - 10:30:28 AM
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  • HAL Id : tel-00192372, version 1



Gilles Enée. Systèmes de Classeurs et Communication dans les Systèmes Multi-Agents. Autre [cs.OH]. Université Nice Sophia Antipolis, 2003. Français. ⟨tel-00192372⟩



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