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Dynamic Filtering of Useless Data in an Adaptive Multi-Agent System : Evaluation in the Ambient Domain

Guivarch, Valérian and Camps, Valérie and Péninou, André and Stuker, Simon Dynamic Filtering of Useless Data in an Adaptive Multi-Agent System : Evaluation in the Ambient Domain. (2013) In: 11th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2013), 22 May 2013 - 24 May 2013 (Salamanca, Spain).

(Document in English)

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Official URL: http://dx.doi.org/10.1007/978-3-642-38073-0_10


Amadeus is an Adaptive Multi-Agent System whose goal is to observe and to learn users’ behaviour in an ambient system in order to perform their recurrent actions on their behalf. Considering the large number of devices (data sources) that generally compose ambient systems, performing an efficient learning in such a domain requires filtering useless data. This paper focuses on an extended version of Amadeus taking account this requirement and proposes a solution based on cooperative interactions between the different agents composing Amadeus. An evaluation of the performances of our system as well as the encouraging obtained results are then shown.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in Volume 7879 Lecture Notes in Computer Science ISSN : 0302-9743. ISBN: 978-3-642-38072-3 . The original PDF is available at : http://link.springer.com/chapter/10.1007%2F978-3-642-38073-0_10
HAL Id:hal-01264572
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:08 Dec 2015 09:22

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