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A Methodology to Bring MAS to Information Systems

  • Conference paper
Agent-Oriented Information Systems IV (AOIS 2006)

Abstract

Agents have been used to provide qualities of adaptation to the Information Systems (IS) since the Nineties. Apart from agent-based IS, existing IS can benefit from additional services provided by agents. We focus on personalization services, which aim is to give specific and customized responses to individual user requests. This paper describes a methodology to design the adaptation part of an IS with the help of a multi-agent system (MAS). An initial multi-agent architecture with an application-independent organization and interaction protocols is provided. On this base, the methodology proposes a guide into the design of the specific knowledge and skills that allow adaptation of the agents behaviour to the characteristics of the application, and into realization of the integration between IS and MAS. An example taken in the transport information field illustrates our proposition.

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References

  1. Adam, E., Mandiau, R.: Design of a MAS into a human organization: application to an information multi-agent system. In: Giorgini, P., Henderson-Sellers, B., Winikoff, M. (eds.) AOIS 2003. LNCS (LNAI), vol. 3030, Springer, Heidelberg (2004)

    Google Scholar 

  2. Arazy, O., Woo, C.: Analysis and design of agent-oriented information systems. Knowl. Eng. Rev. 17 (3), 215–260 (2002)

    Article  Google Scholar 

  3. Bauer, B., Muller, J.P., Odell, J.: Agent UML: a formalism for specifying multiagent interaction. In: Ciancarini, P., Wooldridge, M. (eds.) Agent-Oriented Software Engineering, Springer, pp. 91–103. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  4. Burrafato, P., Cossentino, M.: Designing a multi-agent solution for a bookstore with the PASSI methodology. In: Bussler, C.J., McIlraith, S.A., Orlowska, M.E., Pernici, B., Yang, J. (eds.) CAiSE 2002 and WES 2002. LNCS, vol. 2512, pp. 27–28. Springer, Heidelberg (2002)

    Google Scholar 

  5. Cassell, J., Vilhjálmsson, H.: Fully Embodied Conversational Avatars: Making Communicative Behaviors Autonomous. Autonomous Agents and Multi-Agent Systems 2(1), 45–64 (1999)

    Article  Google Scholar 

  6. Chen, L., Sycara, K.: WebMate: A Personal Agent for Browsing and Searching. In: Proc.of AGENTS 1998, pp. 132–139. ACM Publishers, New York (1998)

    Chapter  Google Scholar 

  7. Crow, L., Shadbolt, N.R.: IMPS - Internet agents for knowledge engineering. In: Gaines, B.R., Musen, M. (eds.) Proc. of the 11th Workshop on Knowledge Acquisition, Modelling and Management, SRDG Publ, Calgary (1998)

    Google Scholar 

  8. Demazeau, Y.: From interactions to collective behaviour in agent-based systems. In: European Conference on Cognitive Sciences (1995)

    Google Scholar 

  9. Dickinson, I., Reynolds, D., Banks, D., Cayzer, S., Vora, P.: User Profiling with privacy: A framework for Adaptive Information Agents. In: Klusch, M., Bergamaschi, S., Edwards, P., Petta, P. (eds.) Intelligent Information Agents. LNCS (LNAI), vol. 2586, pp. 123–151. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  10. Dignum, F.: Agent Communication and Cooperative Information Agents. In: Klusch, M., Kerschberg, L. (eds.) CIA 2000. LNCS (LNAI), vol. 1860, pp. 191–207. Springer, Heidelberg (2000)

    Google Scholar 

  11. Gleizes, M.P., Glize, P.: ABROSE: Multi Agent Systems for Adaptive Brokerage. In Giorgini, P., et al (eds.) AOIS 2002. Agent-Oriented Information Systems, Proceedings of the Fourth International Bi-Conference Workshop on Agent-Oriented Information Systems (AOIS-2002 at CAiSE*02), CEUR Workshop Proceedings. 57 (2002)

    Google Scholar 

  12. Henderson-Sellers, B., Debenham, J., Tran, N., Cossentino, M., Low, G.: Identification of Reusable Method Fragments from the PASSI Agent-Oriented Methodology. In: Kolp, M., Bresciani, P., Henderson-Sellers, B., Winikoff, M. (eds.) AOIS 2005. LNCS (LNAI), vol. 3529, pp. 90–105. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  13. Kobsa, A., Pohl, W.: The User Modeling Shell System BGP-MS. User Modeling and User-Adapted Interaction 4, 59–106 (1995)

    Article  Google Scholar 

  14. Klusch, M.: Information agent technology for the Internet: A survey. Data and Knowledge Engineering 36, 337–372 (2001)

    Article  MATH  Google Scholar 

  15. Lesser, V., Horling, B., Klassner, F., Raja, A., Wagner, T., Zhang, S.X.: BIG: An agent for resource-bounded information gathering and decision making. Artificial Intelligence 118, 197–244 (2000)

    Article  MATH  Google Scholar 

  16. Lieberman, H.: Letizia: an agent that assists web browsing. In: Proc. of the Int. Joint Conf. on Artificial Intelligence, pp. 924–929. Morgan Kaufmann, San Francisco (1995)

    Google Scholar 

  17. Montaner, M., Lopez, B., De la Rosa, J.L.: A Taxonomy of Recommender Agents on the Internet. Artificial Intelligence Review 19, 285–330 (2003)

    Article  Google Scholar 

  18. Nielsen, J.: Usability Engineering. Academinc Press, San Diego (1993)

    MATH  Google Scholar 

  19. Nodine, M.H., Fowler, J., Ksiezyk, T., Perry, B., Taylor, M., Unruh, A.: Active Information Gathering in InfoSleuth. Int. Jnl.of Cooperative Information Systems 9, 3–28 (2000)

    Article  Google Scholar 

  20. Routier, J.C., Mathieu, P., Secq, Y.: Dynamic skill learning: A support to agent evolution. In: Proc. of the AISB 2001 Symp. on Adaptive Agents and Multi-Agent Systems, pp. 25–32 (2001)

    Google Scholar 

  21. Shakshuki, E., Ghenniwa, H., Kamel, M.: An architecture for cooperative information systems. Knowledge-Based Systems 16, 17–27 (2003)

    Article  Google Scholar 

  22. Trousse, B., Jaczynski, M., Kanawati, R.: Using user behavior similarity for recommandation computation: The broadway approach. In: HCI 1999. Proceedings of 8th international conference on human computer interaction, pp. 85–89. Lawrence Erlbaum Associates, Mahwah (1999)

    Google Scholar 

  23. Wooldridge, M., Jennings, N., Kinny, D.: The Gaia methodology for agent-oriented analysis and design. Jnl. of Autonomous Agents and Multi-Agent Systems. 3(3), 285–312 (2000)

    Article  Google Scholar 

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Manuel Kolp Brian Henderson-Sellers Haralambos Mouratidis Alessandro Garcia Aditya K. Ghose Paolo Bresciani

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Grislin-Le Strugeon, E., Anli, A., Adam, E. (2008). A Methodology to Bring MAS to Information Systems. In: Kolp, M., Henderson-Sellers, B., Mouratidis, H., Garcia, A., Ghose, A.K., Bresciani, P. (eds) Agent-Oriented Information Systems IV. AOIS 2006. Lecture Notes in Computer Science(), vol 4898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77990-2_6

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  • DOI: https://doi.org/10.1007/978-3-540-77990-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77989-6

  • Online ISBN: 978-3-540-77990-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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