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A Conceptual “Role-Centered” Model for Design of Multi-Agents Systems

  • Jean-Dany Vally
  • Rémy Courdier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1599)

Abstract

In this paper, we present a conceptual model and the associated framework that can be used to model and implement MASs simulation based on a core concept: the Role. We especially assume that collective agent structures, such as groups and organizations gain to be represented through the concept of Role. We first provide a formal specification of the role concept. Then we show how this concept can be used favorably to consider collective organizations. The resulting model supports dynamic knowledge changes such as organization emergence, disappearance and transformation. It also provides an interesting issue to allow the definition of macroscopic simulation levels, by not considering the underlying agents’ organization composing some given collective organizations. To illustrate our purposes, a simulation system in ecological phenomena simulation realized in cooperation with the CIRAD has been investigated. An implementation has been realized into the Geamas platform with the Java language.

Keywords

Collective Organization Situate Object Reasoning Phase Phenomenon Simulation Livestock Building 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [BG96]
    T.R.J Bossomaier and D.G Green. Complex systems. Cambridge University Press, Amsterdam, 1996.zbMATHGoogle Scholar
  2. [CM98]
    R. Courdier and P. Marcenac. Un processus de développement en spirale pour la simulation multi-agents. L’Objet, 4(1):73–86, March 1998.Google Scholar
  3. [FBC98]
    A. Dury F., Le Ber, and V. Chevrier. A reactive approach for solving constraint satisfaction. In Jörg P. Müller and al, editors, Proceedings of the international workshop on Agent Theories, Architectures, and Languages-ATAL’98, pages 289–303, July 1998.Google Scholar
  4. [FG98]
    Jacques Ferber and Olivier Gutknecht. A meta-model for the analysis and design of organizations in multi-agents systems. In Proceedings of the International Conference on Multi-Agents Systems-ICMAS’98, pages 128–135, Paris, France, July 1998. IEEE Computer Society Press.Google Scholar
  5. [Fis98]
    M. Fisher, Building representing abstract agent architecture. In Jorg P. Müller and al, editors, Proceedings of the international workshop on Agent Theories, Architectures, and Languages-ATAL’98, pages 33–47, July 1998.Google Scholar
  6. [GCC+98]
    François Guerrin, Rémy Courdier, Stéphane Calderoni, Jean-Marie Paillat, Jean-Christophe Soulié, and Jean-Dany Vally. Conception d’un modèle multi-agents pour la gestion des effluents d’elevage à l’echelle d’une localité rurale. In Actes des 6 e Jounées Francophones en Intelligence Artificielle et Systèmes Multi-Agents, Nancy, France, November 1998. Hermes.Google Scholar
  7. [JBM97]
    W. Joosen, S. Bijnens, and F. Matthijs. Building multi-agent systems with correlate. In Van De Velde, editor, Proceedings of the 8 th European Workshop on Modelling Autonomous Agents in a Multi-Agent World-MAA-MAW’97, volume 1237 of Lecture Notes in Artificial Intelligence, pages 197–209, May 1997.Google Scholar
  8. [KC86]
    S. N. Khoshafian and G. P. Copeland. Object identity. In Norman Meyrowitz, editor, Proceedings of the Conference on Object-Oriented Programming Systems, Languages, and Applications (OOPSLA), volume 21, pages 406–416, New York, NY, November 1986. ACM Press.Google Scholar
  9. [LGMG96]
    F. Lahaie, J.R Grasso, P. Marcenac, and S. Giroux. Self-organized criticality as a model for eruptions dynamics: validation on piton de la fournaise volcano. Technical report, Académic des Sciences de Paris, 1996.Google Scholar
  10. [MG98]
    Pierre Marcenac and Sylvain Giroux. GEAMAS: A Generic Architecture for Agent-Oriented Simulations of Complex Processes, chapter not yet available. International Journal of Applied Intelligence, Kluwer Academic Publishers, 1998.Google Scholar
  11. [MGG96]
    Pierre Marcenac, Sylvain Giroux, and J.R. Grasso. Designing and Implementing Complex Systems with Agents, chapter not yet available. Software Engineering for Parallel and Distributed Systems. Chapman & Hall, March 1996.Google Scholar
  12. [RBP+91]
    [RBP+91]_J. Rumbaugh, M. Blaha, W. Premerlani, F. Eddy, and W. Lorensen. Object-Oriented Modeling and Design. Prentice Hall, Englewood Cliff’s, NJ, 1991.Google Scholar
  13. [SV98]
    P. Stone and M. Veloso. Task decomposition and dynamic role assignment for real-time strategic teamwork. In Jorg P. Müller and al, editors, Proceedings of the international workshop on Agent Theories, Architectures, and Languages-ATAL’98, pages 369–381, July 1998.Google Scholar
  14. [Tam96]
    M. Tambe. Teamwork in real world. In Proceedings of the International Conference on Multi-Agents Systems-ICMAS’96. IEEE Computer Society Press, 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Jean-Dany Vally
    • 1
  • Rémy Courdier
    • 1
  1. 1.MAS IREMIAUniversité de la RéunionLa RéunionFRANCE

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