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Role of qualitative reasoning in a multi-agent system

  • 4 Intelligent Systems
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1333))

Abstract

The paper studies the possibility to use qualitative reasoning technology for improving behaviour of multi-agent systems. For this purpose, the twin-base communication model [Cao 97] is enriched to contain the state information (a tri-base model is defined) and it is combined with the idea of a super-agent. The super-agent exploring the qualitative reasoning methods acts as a global observer and state evaluator with limited reconfiguration rights. The impact and efficiency of the proposed approach are analysed.

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References

  1. Cao W., Bian C.-G., Hartvigsen G.: Cooperator-Base and Task-Base for Agent Modeling: The Virtual Secretary Approach. In: Proc. of AAAI-96 Workshop on Agent Modeling, AAAI Press, 1996, pp. 105–111

    Google Scholar 

  2. Cao W., Bian Ch.-G., Hartvigsen G.: Achieving Efficient Cooperation in a Multi-Agent System: The Twin-Base Modelling. In: Cooperative Information Agents (Kandzia P., Klusch M. eds.), LNAI 1202, Springer-Verlag, Heidelberg, 1997, pp. 210–221

    Google Scholar 

  3. Genesereth M.R., Ketchpel S.P.: Software Agents. Com. of ACM, 37(7), 1994, pp. 48–53

    Article  Google Scholar 

  4. Jennings N.R., Wittig T.: ARCHON: Theory and Practice. In: Distributed AI: Theory and Praxis (Avouris M., Gasser L. eds.), Kluver Academic Publishers, Dordrecht, 1993, pp. 179–195

    Google Scholar 

  5. Kiss G.: Agent Dynamics. In: Foundations of Distributed AI (O'Hare G. M. P., Jennings N. R. Eds.), John Wiley & Sons, 1996, pp. 247–267

    Google Scholar 

  6. de Kleer J., Weld D. S.: Readings in Qualitative Reasoning about Physical Systems. Morgan Kaufmann Publishers, Inc., Sant Matheo 1990

    Google Scholar 

  7. Kuipers B.: Qualitative Simulation. Artificial Intelligence 29 (1986), pp. 289–338

    Article  Google Scholar 

  8. Kuipers B.: Qualitative Reasoning. Modelling and Simulation with Incomplete Knowledge, The MIT Press, Cambridge, Mass., 1994

    Google Scholar 

  9. Lashkari Y., Metral M., Maes P.: Collaborative Interface Agents. In: Proc. of 12th National Conf. on AI, AAAI Press, 1994

    Google Scholar 

  10. Marvan I., Štěpánková O.: QUASIMODO — System for Qualitative Simulation and Modelling. Research Report TR-PRG-IEDS-7/93 FAW Linz, CTU Prague, 1993

    Google Scholar 

  11. Marvan I.: Qualitative Simulation and its Language. PhD. Thesis, FEL, CTU Prague, 1995 (in Czech)

    Google Scholar 

  12. Mařík V., Štěpánková O., Flek O.: Multi-Agent System with Qualitative Simulation Unit. In: Proc. of the XIIIth European Meeting on Cybernetics and Systems Research, Vienna, 1996, pp. 1138–1188

    Google Scholar 

  13. Mařík V., Kraus K., Flek O., Bezdíček J.: Multi-Agent Decision-Making Architecture and Distributed Control. In: Balanced Automation Systems'96, Chapman and Hall, London, 1996, pp. 315–328

    Google Scholar 

  14. Nwana H.S., Ndumu D.T.: An Introduction to Agent Technology. In: Software Agents and Softcomputing (Nwana H.S. and Azarmi N. eds.), LNAI 1198, Springer-Verlag, Heidelberg, 1997, pp. 3–26

    Google Scholar 

  15. Pěchouček M., Mařík V.: Project-Oriented Production Modelling. Research Report GL-31/97, The Gerstner Laboratory, CTU, Prague, 1996

    Google Scholar 

  16. Štěpánková O., Marvan I.: Time Independent Global Constraints and QSIM. In: Proc. of the European Conference on Modelling and Simulation 1994 (ESM'94) (Guasch and Huber, Eds.), Barcelona 1994, pp. 470–474

    Google Scholar 

  17. Štěpánková O., Mařík V., Lažanský J.: Improving Cooperative Behaviour in Multiagent Systems. In: Advanced IT Tools, Chapman and Hall, London, 1996, pp. 293–302

    Google Scholar 

  18. Wooldridge M., Jennings N.: Intelligent Agents: Theory and Practice. The Knowledge Engineering Review, 10 (1995), No. 2, pp. 115–152

    Google Scholar 

  19. Zhong N., Kakemoto Y., Ohsuga S.: An Organized Society of Autonomous Discovery Agents. In: Cooperative Information Agents (Kandzia P., Klusch M. eds.), LNAI 1202, Springer-Verlag, Heidelberg, 1997, pp. 183–194

    Google Scholar 

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Franz Pichler Roberto Moreno-Díaz

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© 1997 Springer-Verlag Berlin Heidelberg

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Mařík, V., Štěpánková, O., Lažanský, J. (1997). Role of qualitative reasoning in a multi-agent system. In: Pichler, F., Moreno-Díaz, R. (eds) Computer Aided Systems Theory — EUROCAST'97. EUROCAST 1997. Lecture Notes in Computer Science, vol 1333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0025060

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  • DOI: https://doi.org/10.1007/BFb0025060

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63811-7

  • Online ISBN: 978-3-540-69651-3

  • eBook Packages: Springer Book Archive

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