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RIO : Roles, Interactions and Organizations

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2691))

Abstract

The notions of role and organization have often been emphasized in several agent oriented methodologies. Sadly, the notion of interaction has seldom been reified in these methodologies. We define here a model of runnable specification of interaction protocols. Then, we propose a methodology for the design of open multi-agent systems based on an engineering of interaction protocols. These interaction protocols are described in term of conversation between micro-roles characterized by their skills, then micro-roles are gathered in composite roles. Then, composite roles are used to build abstract agents. Lastly, these latter can be distributed on running agents of a multi-agent system.

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References

  1. M. Barbuceanu and M. S. Fox. Cool: A language for describing coordination in multiagent systems. In Proceedings of the First International Conference oil Multi-Agent Systems (ICMAS-95), pages 17–24, San Francisco, CA, 1995.

    Google Scholar 

  2. F.M.T. Brazier, B.M. Dunin-Keplicz, N. R. Jennings, and J. Treur. DESIRE: Modelling multi-agent systems in a compositional formal framework. Int Journal of Cooperative Information Systems, 6(1):67–94, 1997.

    Article  Google Scholar 

  3. J. Ferber and O. Gutknecht. Operational semantics of a role-based agent architecture. In Proceedings of ATAL’99, jan 1999.

    Google Scholar 

  4. Kurt Jensen. Coloured petri nets-basic concepts, analysis methods and practical use, vol. 1: Basic concepts. In EATCS Monographs on Theoretical Computer Science, pages 1–234. Springer-Verlag: Berlin, Germany, 1992.

    Google Scholar 

  5. Nobuyashu Osato Kazuhiro Kuwabara, Toru Ishida. Agentalk: Describing multiagent coordination protocols with inheritance.

    Google Scholar 

  6. E.A. Kendall, M. T. Malkoun, and C.H. Jiang. A methodology for developing agent based systems. In Chengqi Zhang and Dickson Lukose, editors, First Australian Workshop on Distributed Artificial Intelligence, Canberra, Australia, 1995.

    Google Scholar 

  7. P. Mathieu, J.C. Routier, and Y. Secq. Principles for dynamic multi-agent organisations. In Proceedings of Fifth Pacific Rim International Workshop on Multi-Agents (PRIMA2002), August 2002.

    Google Scholar 

  8. Hamza Mazouzi, Amal El Fallah Seghrouchni, and Serge Haddad. Open protocol design for complex interactions in multi-agent systems. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems, pages 517–526. ACM Press, 2002.

    Google Scholar 

  9. Frank G. McCabe and Keith L. Clark. April—agent process interaction language. In M. Wooldridge and N.R. Jennings, editors, Intelligent Agents: Theories, Architectures, and Languages (LNAI volume 890), pages 324–340. Springer-Verlag: Heidelberg, Germany, 1995.

    Google Scholar 

  10. J. Odell, H. Parunak, and B. Bauer. Extending uml for agents, 2000.

    Google Scholar 

  11. Tim Finin Yannis Labrou R. Scott Cost, Ye Chen and Yun Peng. Modeling agent conversations with colored petri nets. In Third Conference on Autonomous Agents (Agents-99), Workshop on Agent Conversation Policies, Seattle, May 1999. ACM Press.

    Google Scholar 

  12. JC. Routier, P. Mathieu, and Y. Secq. Dynamic skill learning: A support to agent evolution. In Proceedings of the AISB’01 Symposium on Adaptive Agents and Multi-Agent Systems, pages 25–32, 2001.

    Google Scholar 

  13. Y. Shoham. Agent-oriented programming. Artificial Intelligence, 60:51–92, 1993.

    Article  MathSciNet  Google Scholar 

  14. Yoav Shoham and Moshe Tennenholtz. On social laws for arti.cial agent societies: Off-line design. Artificial Intelligence, 73(1–2):231–252, 1995.

    Article  Google Scholar 

  15. Munindar P. Singh. Toward interaction-oriented programming. Technical Report TR-96-15, 16, 1996.

    Google Scholar 

  16. M. Wooldridge, NR. Jennings, and D. Kinny. The GAIA methodology for agentoriented analysis and design. Journal of Autonomous Agents and Multi-Agent Systems, 2000.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Mathieu, P., Routier, J., Secq, Y. (2003). RIO : Roles, Interactions and Organizations. In: Mařík, V., Pěchouček, M., Müller, J. (eds) Multi-Agent Systems and Applications III. CEEMAS 2003. Lecture Notes in Computer Science(), vol 2691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45023-8_15

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  • DOI: https://doi.org/10.1007/3-540-45023-8_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40450-7

  • Online ISBN: 978-3-540-45023-8

  • eBook Packages: Springer Book Archive

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