Running Agents in Mobile Devices

  • Javier Bajo
  • Juan M. Corchado
  • Luis Fernando Castillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4140)


This paper presents a deliberative architecture based on the concept of CBP-BDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of a multiagent system that has been constructed for the management of some aspects of a shopping mall, specially the interaction with clients, so the aim is to get the portability of a CBP-BDI agent to mobile devices. The system has been tested and this paper presents the results obtained.


Mobile Device Multiagent System Case Base Reasoning Shopping Mall Planning Space 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aamodt, A., Plaza, E.: Case-Based Reasoning: foundational Issues, Methodological Variations, and System Approaches. AICOM 7, 39–59 (1994)Google Scholar
  2. 2.
    Adams, F.G.: The E-Business Revolution & the New Economy: E-conomics after the Dot-Com Crash. South-Western Educational Pub. (2003)Google Scholar
  3. 3.
    AUML (2006),
  4. 4.
    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
  5. 5.
    Bellman, R.E.: Dynamic Programming. Princeton University Press, New Jersey (1957)MATHGoogle Scholar
  6. 6.
    Bratman, M.E.: Intentions, Plans and Practical Reason. Harvard University Press, Cambridge (1987)Google Scholar
  7. 7.
    Corchado, J.M., Corchado, E., Pellicer, M.A.: Design of cooperative agents for mobile devices. In: Luo, Y. (ed.) CDVE 2004. LNCS, vol. 3190, pp. 205–212. Springer, Heidelberg (2004) ISSN 0302-9743. ISBN 3-540-23149-8CrossRefGoogle Scholar
  8. 8.
    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
  9. 9.
    Corchado, J.M., Lees, B.: A Hybrid Case-based Model for Forecasting. Applied Artificial Intelligence 15(2), 105–127 (2001)CrossRefGoogle Scholar
  10. 10.
    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 (2004)CrossRefGoogle Scholar
  11. 11.
    Coyle, L., Cunningham, P., Hayes, C.: Representing Cases for CBR in XML. In: Proceedings of 7th UKCBR Workshop, Peterhouse, Cambridge (2002)Google Scholar
  12. 12.
    EURESCOM MESSAGE: Methodology for engineering systems of software agents. Technical report P907-TI1, EURESCOM (2001)Google Scholar
  13. 13.
    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
  14. 14.
    Gomez, J., Fuentes, R.: Agent oriented software engineering with INGENIAS. In: Proceedings of 4th Iberoamerican Workshop on Multi-Agent Systems (Iberagents 2002), Malaga, Spain (2002)Google Scholar
  15. 15.
    Jost, J., Li-Jost, X.: Calculus of variations. Cambridge University Press, U.K (1998)MATHGoogle Scholar
  16. 16.
    Lee, J.M.: Riemannian Manifolds. An introduction to Curvature. Springer, New York (1997)MATHGoogle Scholar
  17. 17.
    Mylopoulos, J., Kolp, M., Castro, J.: UML for agent-oriented software development: The TROPOS proposal. In: Gogolla, M., Kobryn, C. (eds.) UML 2001. LNCS, vol. 2185, p. 422. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  18. 18.
    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
  19. 19.
    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

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Javier Bajo
    • 1
  • Juan M. Corchado
    • 2
  • Luis Fernando Castillo
    • 3
  1. 1.Universidad Pontificia de Salamanca Compañía 5SalamancaSpain
  2. 2.Departamento Informática y AutomáticaUniversidad de Salamanca Plaza de la Merced s/nSalamancaSpain
  3. 3.Dep. Ingeniería IndustrialUniversidad Nacional de Colombia Sede ManizalesColombia

Personalised recommendations