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Architecture d'agent sensible au contexte pour la prise de décisions

Published: 31 May 2005 Publication History

Abstract

Sensing, managing and representing context are necessary capacities for ubiquitous computing applications, moreover, their components must also be able to reason and adapt their behavior to the evolution of their physical and social environment. This paper proposes a multi-agent architecture consisting of context aware agents able to learn how to discern relevant from non relevant context on one hand, and to make appropriate decisions based on it on the other hand. This multi-agent system interacts with a context manager layer, which is able to answer context-related queries by using an ontological representation of context. The use of this architecture is illustrated on a test application for agenda management, using the JADE-LEAP platform on PCs and PocketPCs.

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  1. Architecture d'agent sensible au contexte pour la prise de décisions

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    cover image ACM Other conferences
    UbiMob '05: Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
    May 2005
    214 pages
    ISBN:1595931724
    DOI:10.1145/1102613
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 31 May 2005

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    Author Tags

    1. context
    2. learning
    3. multi-agent systems

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