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SIMBA: An Approach for Real-Time Multi-agent Systems

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Topics in Artificial Intelligence (CCIA 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2504))

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Abstract

The use of the agent/multi-agent system paradigm has increased sharply as an important field of research within the Artificial Intelligence area. In recent times, the application of this paradigm seems appropriate for solving complex problems which require intelligence and bounded response times. This paper presents Simba: an architecture based on Artis agents as its main component for the development of real-time multi-agent systems. The Artis agent architecture guarantees an agent response that satisfies all its critical temporal restrictions in a real-time environment. The main feature of Simba systems is their applicability for complex, distributed, real-time domains. The architecture allows the communication among agents taking into account their hard temporal restrictions.

In order to show the use of systems of this kind, the paper describes the design of a multi-agent system for the distributed intelligent control of a residential building.

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References

  1. M. Boman, P. Davidsson, and H. Younes. Artificial decision making under uncertainty in intelligent buildings. In Proceedings of UAI’99, 1999.

    Google Scholar 

  2. V. Botti, C. Carrascosa, V. Julian, and J. Soler. Modelling agents in hard real-time environments. In MAAMAW’99 Proceedings, volume 1647 of LNAI, pages 63–76. Springer-Verlag, 1999.

    Google Scholar 

  3. P. Cohen, H. Levesque, and I. Smith. On team formation. In Contemporary Action Theory. Synthese. J. Hintikka and R. Tuomela, editors, 1998.

    Google Scholar 

  4. A. Crespo, V. Botti, F. Barber, D. Gallardo, and E. Onaindia. A temporal blackboard for real-time process control. Engineering Applications of Artificial Intelligence, pages 225–256.

    Google Scholar 

  5. E. Emerson, A. Mok, A. Sistla, and J. Srinivasan. Quantitative temporal reasoning. Real-Time Systems, (4):331–352, 1992.

    Article  Google Scholar 

  6. FIPA. Agent acl message structure specification. Technical Report XC00061E, 2001.

    Google Scholar 

  7. FIPA. Agent management specification. Technical Report XC00023H, 2001.

    Google Scholar 

  8. A. Garcia-Fornes, A. Terrasa, V. Botti, and A. Crespo. Analyzing the schedulability of hard real-time artificial intelligence systems. Engineering Applications of Artificial Intelligence, pages 369–377, 1997.

    Google Scholar 

  9. A. Garvey and V. Lesser. A survey of research in deliberative real-time artificial intelligence. The Journal of Real-Time Systems, (6):317–347, 1994.

    Article  Google Scholar 

  10. B. J. Grosz. Collaborative systems. AI Magazine, 17(2):67–85, 1996.

    MathSciNet  Google Scholar 

  11. J. P. Muller. A conceptual model for agent interaction. In Proceedings of the second International Working Conference on Cooperating Knowledge Base Systems, pages 213–234, DAKE Centre, University of Keel, 1994. Deen, S. M. (Ed.).

    Google Scholar 

  12. P. Nii. Blackboard systems: The blackboard model of problem solving and the evolution of blackboard architectures. The AI Magazine, pages 38–53, Summer 1986.

    Google Scholar 

  13. S. Sharples, V. Callaghan, and G. Clarke. A multi-agent architecture for intelligent building sensig and control. Sensor Review, 19(2):135–140, 1999.

    Article  Google Scholar 

  14. J. Soler, V. Julian, C. Carrascosa, and V. Botti. Applying the artis agent architecture to mobile robot control. In Proceedings of IBERAMIA’ 2000. Atibaia, Sao Paulo, Brasil, volume I, pages 359–368. Springer Verlag, 2000.

    Google Scholar 

  15. J. Stankovic. Misconceptions about real-time computing. IEEE Computer, 12(10):10–19, 1988.

    Google Scholar 

  16. J. Stankovic. Distributed real-time computing: The next generation. Journal of the Society of Instrument and Control Engineers of Japan, 1992.

    Google Scholar 

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© 2002 Springer-Verlag Berlin Heidelberg

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Julian, V., Carrascosa, C., Rebollo, M., Soler, J., Botti, V. (2002). SIMBA: An Approach for Real-Time Multi-agent Systems. In: Escrig, M.T., Toledo, F., Golobardes, E. (eds) Topics in Artificial Intelligence. CCIA 2002. Lecture Notes in Computer Science(), vol 2504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36079-4_25

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  • DOI: https://doi.org/10.1007/3-540-36079-4_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00011-2

  • Online ISBN: 978-3-540-36079-7

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