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S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems

Mefteh, Wafa and Migeon, Frédéric and Gleizes, Marie-Pierre and Gargouri, Faiez S-DLCAM: A Self-Design and Learning Cooperative Agent Model for Adaptive Multi-Agent Systems. (2013) In: IEEE International Conference on Collaboration Technologies and Infrastructures - WETICE 2013, 17 June 2013 - 20 June 2013 (Hammamet, Tunisia).

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Official URL: http://dx.doi.org/10.1109/WETICE.2013.58

Abstract

Given the incomplete knowledge that an Adaptive Multi Agent System (AMAS) has on its dynamic environment, the detection and the correction of problems encountered called Non Cooperative Situations for the construction of the good behaviour of the AMAS agent can challenge even the most experienced designer. Our goal is to help the AMAS designer in his task by providing an agent behaviour able to self-design. In this paper, we propose a self-design and learning cooperative agent model.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6570581
HAL Id:hal-01148192
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (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)
Other partners > Université de Sfax (TUNISIA)
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Deposited On:04 May 2015 09:44

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