Abstract
Complex system design requires a multi-disciplinarily approach deploying a multiplicity of point of views. The OREA (Organization-Role-Entity-Aspect) model presented in this paper proposes a conceptual framework allowing to represent a complex system in different points of view and to integrate them in order to form a coherent system. Using an Agent-Group-Role (AGR) extension, OREA allows not only to represent a system from various points of view through the roles played by entities within organizations, but also to allow various entities to play a same role in various ways through the notion of aspects. Unlike most roles based models, OREA provides a clear distinction between (1) the external properties of an entity described by the roles and (2) the internal properties described by the aspects. The OREA model increases organization reuse and the adaptability of a system. OREA model have been implemented in Mimosa and used to implement a simulator for carbon dynamics analysis at village territory level.
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Müller, J.P.: Emergence of collective behaviour and problem solving. In: Omicini, A., Petta, P., Pitt, J. (eds.) Engineering Societies in the Agents World: 4th International Workshops, pp. 1–21. Springer, London (2004)
Ferber, J., Gutknecht, O.: A meta-model for the analysis and design of organisation in multi-agents. In: Proceedings of Third international Conference on Multi-Agent Systems, pp. 128–135. I.C.S. Press Ed., Paris (1998)
Drogoul, A., Ferber, J., Cambier, C.: Multi-agent Simulation as a Tool for Analysing Emergent Processes in Societies. In: Simulating Societies Symposium, University of Surrey, Guildford (1992)
Horling, B., Lesser, V.: A Survey of Multi-Agent Organizational Paradigms. The Knowledge Engineering Review 19, 281–316 (2005)
Wooldrigde, M., Jennings, N., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. In: Autonomous Agents and Multi-Agent Systems, vol. 3, pp. 285–312 (2000)
Ricordel, P.-M.: Programmation Orientée Multi-Agents: Développement et Déploiement de Systèmes Multi-Agents Voyelles. In: Mathématiques, Sciences et technologies de l’information,Informatique INPG (2001)
Barbuceanu, M., Gray, T., Mankovski, S.: Coordinating with obligations. In: Proceedings of the Second International Conference on Autonomous Agents (AGENTS 1999), pp. 62–69. ACM Press, New York (1998)
Hannoun, M., Boissau, O., Sichman, J.S., Carron, T., Sayettat, C.: Conception et mise en oeuvre du modèle organisationnel MOISE. In: Actes des 8èmes Journées Francophones Intelligence Artificielle Distribuée & Systèmes Multi-Agents (JFIADSMA 2000), Saint-Jean-la-Vêtre, France (2000)
Esteva, M., Padget, J., Sierra, C.: Formalizing a language for institutions and norms. In: Meyer, J.-J.C., Tambe, M. (eds.) ATAL 2001. LNCS, vol. 2333, pp. 348–366. Springer, Heidelberg (2002)
Vazquez-Salceda, J., Padget, J.A., Lopez-Navidadc, A., Caballeroc, F.: Formalizing an electronic institution for the distribution of human tissues. Artificial Intelligence in Medicine 27, 233–258 (2003)
Amiguet, M., Müller, J.P., Baez, J., Nagy, A.: La plate-forme MOCA: conception de SMA organisationnels à structure dynamique. In: JFIADSMA Paris, pp. 151–164. Hermès, Lille, France (2002)
Bàez, J., Stratulat, T., Ferber, J.: Un modèle institutionnel pour SMA organisationel. Journée Francopohone des Systèmes Multi-Agents (2005)
Ferber, J., Müller, J.-P.: Influences and Reaction: a Model of Situated Multiagent Systems. In: Proceedings of ICMAS 1996, pp. 72–79. AAAI Press, Kyoto (1996)
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Belem, M., Müller, JP. (2009). Toward a Conceptual Framework for Multi-points of View Analysis in Complex System Modeling: OREA Model. In: Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds) 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). Advances in Intelligent and Soft Computing, vol 55. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00487-2_58
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DOI: https://doi.org/10.1007/978-3-642-00487-2_58
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