What is context and how can an agent learn to find and use it when making decisions?

Abstract : Developing context-aware applications needs facilities for recognizing context, reasoning on it and adapting accordingly. In this paper, we propose a context-based multi-agent architecture consisting of context aware agents able to learn how to distinguish relevant from non relevant context and to make appropriate decisions based on it. This multi-agent system interacts with a context manager layer, based on an ontological representation of context, which is able to answer context-related queries. The use of this architecture is illustrated on a test MAS for agenda management, using the JADE-LEAP platform on PCs and PDAs.
Type de document :
Communication dans un congrès
4th international Central and Eastern European conference on Multi-Agent Systems and Applications, Sep 2005, Budapest, Hungary. pp. 112-121, 2005, 〈10.1007/11559221_12〉
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https://hal-emse.ccsd.cnrs.fr/emse-00758344
Contributeur : Florent Breuil <>
Soumis le : mercredi 28 novembre 2012 - 15:42:03
Dernière modification le : mardi 22 mars 2016 - 01:16:04

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Oana Bucur, Philippe Beaune, Olivier Boissier. What is context and how can an agent learn to find and use it when making decisions?. 4th international Central and Eastern European conference on Multi-Agent Systems and Applications, Sep 2005, Budapest, Hungary. pp. 112-121, 2005, 〈10.1007/11559221_12〉. 〈emse-00758344〉

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