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Un modèle multi-agent récursif générique pour simplifier la supervision de systèmes complexes artificiels décentralisés

Abstract : Observation of large scale artificials systems is difficult because of their dimension and their openness. This thesis proposes a model SMA-R (Recursive Multi-Agent Systems) based on recursion for multi-level observation of artificial complex systems. From a given SMA, this model is able to build multi-level of abstractions. The model's agent has a module containning knowledge, skills and context of recursion, an eye to observe changes; two mechanisms to build or destroy an abstract level, a module of recursive interaction to support collective and individual behaviors. For applying this model to SMA physically decentralized, we proposed a generic decentralized architecture for recursive agent by adopting the concepts of the OSI model which offerts forward capabilities that we look for: multi-level encapsulation, exchange of virtual and physical messages ... A generic decentralized framework was developed allowing applicatives agents to build multi-levels observation. This framework is applied to the observation of a wireless sensor network.
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Submitted on : Friday, October 26, 2012 - 2:28:12 PM
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Thi Thanh Ha Hoang. Un modèle multi-agent récursif générique pour simplifier la supervision de systèmes complexes artificiels décentralisés. Autre [cs.OH]. Université de Grenoble, 2012. Français. ⟨NNT : 2012GRENM033⟩. ⟨tel-00745805⟩

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