FuzzyOrganization of Self-Adaptive Agents Based On Software Components

Abderrahim Siam, Ramdane Maamri and Zaïdi Sahnoun
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Abderrahim Siam: Laboratoire LIRE Contantine, University of Abbes Laghrour, Khenchela, Algeria
Ramdane Maamri: Laboratoire LIRE Contantine, University of Constantine 2, Constantine, Algeria
Zaïdi Sahnoun: Laboratoire LIRE Contantine, University of Constantine 2, Constantine, Algeria

International Journal of Intelligent Information Technologies (IJIIT), 2014, vol. 10, issue 3, 36-56

Abstract: This paper addresses the development of organizational multi agent systems as a preferred solution to develop open, distributed and adaptive application. It proposes a combination between components and agents to define a flexible organizational model of MAS based on three concepts: roles, self-adaptive agents based on components and fuzzy groups. Roles are played by agents in fuzzy groups. A fuzzy group is a fuzzy set of agents characterized by a membership function expressing the partial membership of each agent to the group. The membership function expresses the degree of capacity of each agent to play a role. This work proposes a fuzzy measure of the capacity of agents to play roles. It proposes a model of auto adaptive agents constructed by automatic assembly (reassembly) of software components. Components implement required capabilities to play roles. The proposed model and introduced concepts have been tested using the Madkit platform.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:10:y:2014:i:3:p:36-56

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