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Context Aware Hybrid Agents on Automated Dynamic Environments

  • Juan F. de Paz
  • Sara Rodríguez
  • Juan M. Sánchez
  • Ana de Luis
  • Juan M. Corchado
Chapter
  • 1.1k Downloads
Part of the Advances in Soft Computing book series (AINSC, volume 44)

Abstract

This paper presents an Ambient Intelligence based architecture model that uses intelligent hybrid agents with the ability to obtain automatic and real time information about the context using a set of technologies, such as radio frequency identification, wireless networks and wireless control devices, which can be implemented on a wide diversity of dynamic environments.

Keywords

Case-based planning Context Aware Hybrid systems 

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References

  1. 1.
    Allen, J.F.: Towards a general theory of action and time. Artificial Intelligence Vol. 23 pp. 123–154. (1984)zbMATHCrossRefGoogle Scholar
  2. 2.
    Bohnenberger, T., Jacobs, O., Jameson, A.: DTP meets user requirements: Enhancements and studies of an intelligent shopping guide. Proceedings of the Third International Conference on Pervasive Computing (PERVASIVE-05), Munich, Germany. (2005)Google Scholar
  3. 3.
    Bratman, M.E.: Intentions, Plans and Practical Reason. Harvard University Press, Cambridge, M.A. (1987)Google Scholar
  4. 4.
    Corchado J.M., Bajo J., de Paz Y. and Tapia D. I.: Intelligent Environment for Monitoring Alzheimer Patients, Agent Technology for Health Care. Decision Support Systems. Eslevier Science. DOI 10.1016/j.dss.2007.04.008. In Press (2007)Google Scholar
  5. 5.
    Corchado, J.M., Laza, R.: Constructing Deliberative Agents with Case-based Reasoning Technology. International Journal of Intelligent Systems. Vol. 18 No.12 1227–1241 (2003)CrossRefGoogle Scholar
  6. 6.
    Corchado J.M., Bajo J., de Paz Y. and Tapia D. I.: Intelligent Environment for Monitoring Alzheimer Patients, Agent Technology for Health Care. Decision Support Systems. Eslevier Science. DOI 10.1016/j.dss.2007.04.008. In Press (2007)Google Scholar
  7. 7.
    Ducatel, K., Bogdanowicz, M., Scapolo, F., Leijten, J., Burgelman, J.C.: That’s what friends are for. Ambient Intelligence (AmI) and the IS in 2010. Innovations for an e-Society. Challenges for Technology Assessment. Berlin, Germany. (2001)Google Scholar
  8. 8.
    Emiliani P.L., Stephanidis, C.: Universal access to ambient intelligence environments: opportunities and challenges for people with disabilities. IBM Systems Journal. (2005)Google Scholar
  9. 9.
    Glez-Bedia, M., Corchado, J.M.: A planning strategy based on variational calculus for deliberative agents. Computing and Information Systems Journal. Vol.10(1) 2–14. (2002)Google Scholar
  10. 10.
    Hammond, K.: Case-Base Planning: Viewing Planning as a Memory Task. Academic Press, New York. (1989)Google Scholar
  11. 11.
    Leung K.S., Jin H.D., Xu Z.B.: An expanding Self-organizing Neural Network for the Traveling Salesman Problem. Neurocomputing, vol. 62. (2004). pp 267–292.CrossRefGoogle Scholar
  12. 12.
    Kolodner J.: Case-based reasoning. Morgan Kaufmann (1993).Google Scholar
  13. 13.
    Mainardi, E., Banzi, S., Bonfè, M. & Beghelli, S. (2005). A low-cost Home Automation System based on Power-Line Communication Links. 22nd International Symposium on Automation and Robotics in Construction ISARC 2005. September 2005. Ferrara, Italy.Google Scholar
  14. 14.
    Pokahr, A., Braubach L., Lamersdorf, W.: Jadex: Implementing a BDI-Infrastructure for JADE Agents, in: EXP-In Search of Innovation (Special Issue on JADE), Vol. 3, 76–85. Telecom Italia Lab, Turin, Italy, September (2003)Google Scholar
  15. 15.
    Poslad, S., Laamanen, H., Malaka, R., Nick, A., Buckle, P., Zipf, A.: Crumpet: Creation of user-friendly mobile services personalised for tourism. In Proceedings of 3G. (2001)Google Scholar
  16. 16.
    Richter, K., Hellenschmidt, M.: Interacting with the Ambience: Multimodal Interaction and Ambient Intelligence. Position Paper to the W3C Workshop on Multimodal Interaction, 19–20 July. (2004)Google Scholar
  17. 17.
    Schmidt, A.: Interactive Context-Aware Systems Interacting with Ambient Intelligence. In G. Riva, F. Vatalaro, F. Davide & M. Alcañiz, Ambient Intelligence, IOS Press pp. 159–178. (2005)Google Scholar
  18. 18.
    Sokymat.: Sokymat. http://www.sokymat.com. (2006)Google Scholar
  19. 19.
    Sun Microsystems. (2000). Applications for Mobile Information Devices. Helpful Hints for Application Developers and User Interface Designers using the Mobile Information Device Profile. Sun Microsystems, Inc.Google Scholar
  20. 20.
    Susperregi, L., Maurtua, I., Tubío, C., Pérez M.A., Segovia, I., Sierra, B.: Una arquitectura multiagente para un Laboratorio de Inteligencia Ambiental en Fabricación. 1er. Taller de Desarrollo de Sistemas Multiagente (DESMA). Málaga, España. (2004)Google Scholar
  21. 21.
    ZigBee Standards Organization.: ZigBee Specification Document 053474r13. ZigBee Alliance. (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Juan F. de Paz
    • 1
  • Sara Rodríguez
    • 1
  • Juan M. Sánchez
    • 1
  • Ana de Luis
    • 1
  • Juan M. Corchado
    • 1
  1. 1.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

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