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FuzzyOrganization of Self-Adaptive Agents Based On Software Components

Author

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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)

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.

Suggested Citation

  • Abderrahim Siam & Ramdane Maamri & Zaïdi Sahnoun, 2014. "FuzzyOrganization of Self-Adaptive Agents Based On Software Components," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 10(3), pages 36-56, July.
    • Handle: RePEc:igg:jiit00:v:10:y:2014:i:3:p:36-56
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