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SMas: A Shopping Mall Multiagent Systems

  • Javier Bajo
  • Yanira de Paz
  • Juan Francisco de Paz
  • Quintín Martin
  • Juan M. Corchado
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4224)

Abstract

This paper presents a multiagent model that facilitates aspects of shopping mall management, as well as increasing the quality of leisure facilities and shopping on offer. The work presented focuses on the use of a multi agent architecture, based on the use of deliberative agents that incorporates case-based planning. The architecture considers a dynamic framework, and the need to use autonomous models that are able to evolve over time. The architecture incorporates agents whose aim is to acquire knowledge and adapt themselves to the environmental changes. The system has been tested successfully, and the results obtained are presented in this paper.

Keywords

CBR CBP-BDI wireless multiagent system shopping mall SMAS 

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References

  1. 1.
    Wooldridge, M., Jennings, N.R.: Agent Theories, Architectures, and Languages: a Survey. In: Wooldridge, Jennings (eds.) Intelligent Agents, pp. 1–22. Springer, Heidelberg (1995)Google Scholar
  2. 2.
    Corchado, J.M., Pavón, J., Corchado, E., Castillo, L.F.: Development of CBR-BDI agents: A tourist guide application. In: Funk, P., González Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 547–559. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Glez-Bedia, M., Corchado, J.M.: A planning strategy based on variational calculus for deliberative agents. Computing and Information Systems Journal 10(1), 2–14 (2002) ISBN: 1352-9404Google Scholar
  4. 4.
    Glez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical Model for Constructing Deliberative Agents. Engineering Intelligent Systems 3, 173–185 (2002)Google Scholar
  5. 5.
    Bajo, J., Corchado, J.M.: Evaluation and monitoring of the air-sea interaction using a CBR-agents approach. In: Muñoz-Ávila, H., Ricci, F. (eds.) ICCBR 2005. LNCS (LNAI), vol. 3620, pp. 50–62. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  6. 6.
    Corchado, J.M., Laza, R.: Constructing Deliberative Agents with Case-based Reasoning Technology. International Journal of Intelligent Systems 18(12), 1227–1241 (2003)CrossRefGoogle Scholar
  7. 7.
    Bratman, M.E.: Intentions, Plans and Practical Reason. Harvard University Press, Cambridge (1987)Google Scholar
  8. 8.
    Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)CrossRefGoogle Scholar
  9. 9.
    Bauer, B., Huget, M.P.: FIPA Modeling: Agent Class Diagrams (2003)Google Scholar
  10. 10.
    Adams, F.G.: The E-Business Revolution & the New Economy: E-conomics after the Dot-Com Crash. South-Western Educational Pub. (2003)Google Scholar
  11. 11.
    Bellifime, F., Poggi, A., Rimasa, G.: JADE: a FIPA2000 compliant agent development environement. In: Proceedings of the 5th international conference on autonomous agents, ACM (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Javier Bajo
    • 1
  • Yanira de Paz
    • 2
  • Juan Francisco de Paz
    • 2
  • Quintín Martin
    • 3
  • Juan M. Corchado
    • 2
  1. 1.Universidad Pontificia de SalamancaSalamancaSpain
  2. 2.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain
  3. 3.Departamento EstadísticaUniversidad de SalamancaSalamancaSpain

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