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Coordinating Intelligent Agents

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Foundations and Applications of Multi-Agent Systems

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2403))

Abstract

This chapter will focus on how to get organizations - multiple software agents and perhaps humans - to coordinate thier activities when they are working on shared, loosely coupled problems, such as engineering design or information gathering. It will describe some useful representations (including tæms [Task Analysis and Environment Modeling System]) for annotating an agent’s representation of its activities, and some approaches (including GPGP [Generalized Partial Global Planning]) to designing coordination mechanisms that are adapted to some particular problem-solving environment. Examples will be drawn from various projects in distributed information gathering and distributed hospital patient scheduling.

This work was supported by the National Science Foundation under grant IIS-9733004.

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References

  1. W. Chen and K. Decker. Coordination mechanisms for dependency relationships among multiple agents (poster). In Proceedings of the 1st Intl. Joint Conf. on Autonomous Agents and Mult-Agent Systems, Bologna, 2002.

    Google Scholar 

  2. K. Decker, S. Khan, C. Schmidt, and D. Michaud. Extending a multi-agent system for genomic annotation. In M. Klusch and F. Zambonelli, editors, Cooperative Information Agents IV, pages 106–117. Springer-Verlag, 2001.

    Google Scholar 

  3. K. Decker, X. Zheng, and C. Schmidt. A multi-agent system for automated genomic annotation. In Proceedings of the 5th Intl. Conf. on Autonomous Agents, Montreal, 2001.

    Google Scholar 

  4. K. S. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In Proceedings of the 1st Intl. Conf. on Autonomous Agents, pages 404–413, Marina del Rey, February 1997.

    Google Scholar 

  5. Keith Decker and Jinjiang Li. Coordinating mutually exclusive resources using gpgp. Autonomous Agents and Multi-Agent Systems, 3(2): 133–157, 2000.

    Article  Google Scholar 

  6. Keith S. Decker. Environment Centered Analysis and Design of Coordination Mechanisms. PhD thesis, University of Massachusetts, 1995. http://dis.cs.umass.edu/~decker/thesis.html.

  7. Keith S. Decker. Task environment centered simulation. In M. Prietula, K. Carley, and L. Gasser, editors, Simulating Organizations: Computational Models of Institutions and Groups, pages 105–131. AAAI Press/MIT Press, 1997.

    Google Scholar 

  8. Keith S. Decker and Victor R. Lesser. An approach to analyzing the need for meta-level communication. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, pages 360–366, Chambéry, France, August 1993.

    Google Scholar 

  9. Keith S. Decker and Victor R. Lesser. A one-shot dynamic coordination algorithm for distributed sensor networks. In Proceedings of the Eleventh National Conference on Artificial Intelligence, pages 210–216, Washington, July 1993.

    Google Scholar 

  10. Keith S. Decker and Victor R. Lesser. Quantitative modeling of complex computational task environments. In Proceedings of the Eleventh National Conference on Artificial Intelligence, pages 217–224, Washington, July 1993.

    Google Scholar 

  11. Keith S. Decker and Victor R. Lesser. Designing a family of coordination algorithms. In Proceedings of the First International Conference on Multi-Agent Systems, pages 73–80, San Francisco, June 1995. AAAI Press. Longer version available as UMass CS-TR 94-14.

    Google Scholar 

  12. Keith S. Decker and Victor R. Lesser. Designing a family of coordination algorithms. In Proceedings of the First International Conference on Multi-Agent Systems(ICMAS-95), San Francisco, 1995.

    Google Scholar 

  13. Keith S. Decker and J. Li. Coordinating mutually exclusive resources using gpgp. Autonomous Agents and Multi-Agent Systems, 3, 2000.

    Google Scholar 

  14. Keith S. Decker and Katia Sycara. Intelligent adaptive information agents. Journal of Intelligent Information Systems, 9(3):239–260, 1997.

    Article  Google Scholar 

  15. Edmund H. Durfee, Victor R. Lesser, and Daniel D. Corkill. Coherent cooperation among communicating problem solvers. IEEE Transactions on Computers, 36(11):1275–1291, November 1987.

    Google Scholar 

  16. K. Erol, D. Nau, and J. Hendler. Semantics for hierarchical task-network planning. Technical report CS-TR-3239, UMIACS-TR-94-31, Computer Science Dept., University of Maryland, 1994.

    Google Scholar 

  17. J. Graham and K. Decker. Towards a distributed, environment-centered agent framework. In Intelligent Agents IV, Agent Theories, Architectures, andLanguages. Springer-Verlag, 2000.

    Google Scholar 

  18. A. Kumar and P.S. Ow. A study of distributed problem solving for patient scheduling. In Proc. ORSA/TIMS, Washington, D.C., 1988.

    Google Scholar 

  19. V. Lesser, B. Horling, R. Vincent, A. Raja, and S. Zhang. The taems white paper. http://mas.cs.umass.edu/research/taems/white/, 1999.

  20. Victor R. Lesser and Daniel D. Corkill. The distributed vehicle monitoring testbed. AI Magazine, 4(3):63–109, Fall 1983.

    Google Scholar 

  21. Hector J. Levesque, Philip R. Cohen, and José H. T. Nunes. On acting together. In Proceedings of the Eighth National Conference on Artificial Intelligence, pages 94–99, July 1990.

    Google Scholar 

  22. Thomas W. Malone. Modeling coordination in organizations and markets. Management Science, 33:1317–1332, 1987.

    Article  Google Scholar 

  23. P. S. Ow, M. J. Prietula, and W. Hsu. Configuring knowledge-based systems to organizational structures: Issues and examples in multiple agent support. In L. F. Pau, J. Motiwalla, Y. H. Pao, and H. H. Teh, editors, Expert Systems in Economics, Banking, and Management, pages 309–318. North-Holland, Amsterdam, 1989.

    Google Scholar 

  24. M.V. Nagendra Prasad, K. S. Decker, A. Garvey, and V.R. Lesser. Exploring organizational designs with TÆMS: A case study of distributed data processing. In Proceedings of the Second International Conference on Multi-agent Systems, Kyoto, Japan, December 1996.

    Google Scholar 

  25. M.V. Nagendra Prasad and V.R. Lesser. Learning situation-specific coordination in generalized partial global planning. In AAAI Spring Symposium on Adaptation, Co-evolution and Learning in Multiagent Systems, Stanford, March 1996.

    Google Scholar 

  26. A.S. Rao and M.P. Georgeff. BDI agents: From theory to practice. In Proceedings of the First International Conference on Multi-Agent Systems, pages 312–319, San Francisco, June 1995. AAAI Press.

    Google Scholar 

  27. J.S. Rosenschein and G. Zlotkin. Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, Cambridge, Mass., 1994.

    Google Scholar 

  28. Toshiharu Sugawara and Victor R. Lesser. On-line learning of coordination plans. Computer Science Technical Report 93-27, University of Massachusetts, 1993.

    Google Scholar 

  29. K. Sycara, K. S. Decker, A. Pannu, M. Williamson, and D. Zeng. Distributed intelligent agents. IEEE Expert, 11(6):36–46, December 1996.

    Google Scholar 

  30. The Gene Ontology Consortium. Gene ontolgy: tool for the unification of biology. Nature Genetics, 25(1):25–29, May 2000.

    Google Scholar 

  31. T. Wagner, A. Garvey, and V. Lesser. Complex goal criteria and its application in design-to-criteria scheduling. In Proceedings of the Fourteenth National Conference on Artificial Intelligence, Providence, July 1997.

    Google Scholar 

  32. M.P. Wellman and J. Doyle. Modular utility representation for decision-theoretic planning. In Proc. fo the First Intl. Conf. on Artificial Intelligence Planning Systems, pages 236–242, June 1992.

    Google Scholar 

  33. M. Williamson, K. S. Decker, and K. Sycara. Executing decision-theoretic plans in multi-agent environments. In AAAI Fall Symposium on Plan Execution, November 1996. AAAI Report FS-96-01.

    Google Scholar 

  34. M. Williamson, K. S. Decker, and K. Sycara. Unified information and control flow in hierarchical task networks. In Proceedings of the AAAI-96 workshop on Theories of Planning, Action, and Control, 1996.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer and Information Sciences, University of Delaware, Newark, DE, 19716

    Keith Decker

Authors
  1. Keith Decker
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Editor information

Editors and Affiliations

  1. Cavendish School of Computer Science, University of Westminster, 9-18 Euston Centre, London, NW1 3ET, UK

    Mark d’Inverno

  2. Department of Computer Science, Southampton University, Southampton, S017 1BJ, UK

    Michael Luck

  3. Department of Computer Science, University of Liverpool, Liverpool, L69 7ZF, UK

    Michael Fisher

  4. Hewlett-Packard laboratories Bristol, Filton Road, Stoke Gifford, Bristol, BS12 6QZ, UK

    Chris Preist

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© 2002 Springer-Verlag Berlin Heidelberg

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Decker, K. (2002). Coordinating Intelligent Agents. In: d’Inverno, M., Luck, M., Fisher, M., Preist, C. (eds) Foundations and Applications of Multi-Agent Systems. Lecture Notes in Computer Science(), vol 2403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45634-1_1

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  • DOI: https://doi.org/10.1007/3-540-45634-1_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43962-2

  • Online ISBN: 978-3-540-45634-6

  • eBook Packages: Springer Book Archive

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