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A System for Multi-agent Information Retrieval

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Artificial Intelligence and Cognitive Science (AICS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2464))

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Abstract

In this paper we discuss a multi-agent information trading system, which we argue provides a suitable and flexible design for distributed information retrieval, and a suitable test-bed for studying agent cooperation, coordination and negotiation. Within the fields of Information Retrieval (IR) and Information Filtering (IF), agents represent a suitable paradigm to conceptualise, design and implement an IR system.

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References

  1. Sparck Jones, K., Willett, P.,(Eds.) 1997. Readings in Information Retrieval. Morgan Kauffman Publishers Inc. San Francisco, California.

    Google Scholar 

  2. Baeza-Yates, R., Ribeiro-Neto, B., 1999. Modern Information Retrieval. Addison-Wesley ACM Press, New York.

    Google Scholar 

  3. O'Riordan, C., Sorensen, H., 1999. Information Retrieval and Filtering: An Overview, in Dept of IT Journal, NUI, Galway.

    Google Scholar 

  4. Nwana, H., Ndumu, D., 1995. An Introduction to Agent Technology, in Journal of BT Labs.

    Google Scholar 

  5. Hewitt, C., 1997. Viewing Control Structures as Patterns of Passing Messages, in Artificial Intelligence.

    Google Scholar 

  6. Salton, G., Wang, A., Yang, C., 1975. A Vector Space Model for Information Retrieval, in Journal of the American Society for Information Science, volume 18, pages 613–620.

    Google Scholar 

  7. Huhns, M., Singh, M., (Eds.) 1998. Readings in Agents. Morgan Kaufmann Publishers Inc, San Francisco, California.

    Google Scholar 

  8. Weiss, G., 1998. Learning to Coordinate Actions in Multi-Agent Systems, in Huhns, et al. Readings in Agents.

    Google Scholar 

  9. Doran, J., Franklin, S., Jennings, N., Norman, T., 1997. On Cooperation in multiagent systems, in The Knowledge Engineering Review, 12(3).

    Google Scholar 

  10. Wooldridge, M., Jennings, N., 1996. Towards a Theory of Cooperative Problem Solving, in Proceedings of Modelling Autonomous Agents in a Multi-Agent World (MAAMAW-94).

    Google Scholar 

  11. Nwana, H., Lee, L., Jennings, N., 1996. Coordination in Software Agent systems, in Journal of BT Labs.

    Google Scholar 

  12. Shehory, O., Sycara, K., Jha, S., 1998. Multi-Agent Coordination through Coalition Formation, in Proceedings of Agent Theories Agent Languages and Mechanisms.

    Google Scholar 

  13. Zlotkin, G., Rosenschein, J., 1994. Coalition, Cryptography and Stability: Mechanisms for Coalition Formation in Task Oriented Domains, in Proceedings of the 12th National Conference on Artificial Intelligence.

    Google Scholar 

  14. Axelrod, R., 1984. The Evolution of Cooperation. Basic Books, New York.

    Google Scholar 

  15. Tuomela, R., 2000. Cooperation: A Philosophical Study. Philosophical Studies Series, Kluwer Academic Publishers.

    Google Scholar 

  16. Wooldridge, M., 1995. Intelligent Agents: Theory and Practice, in Knowledge Engineering Review.10(2).

    Google Scholar 

  17. Callan, James P., Zhihonh, Lu W., Croft, B., 1995. Searching Distributed Collections with Inference Networks, in Proceedings of the 18th Int. ACM SIGIR Conference on Research and Development in Information Retrieval

    Google Scholar 

  18. Voorhees, E., Siemens Trec-4 Report. Further Experiments with Database Merging, in Harman, D K., Proceedings of the 4th Text Retrieval Conference, 1998. pages 121–130.

    Google Scholar 

  19. Sparck Jones, K., Walker, S., Robertson, S., 1998. A probabilistic model of information retrieval: development and comparative experiments, in Information Processing and Management, 36(6).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of IT, NUI, Galway

    Paula Mc Dermott & Colm O’Riordan

Authors
  1. Paula Mc Dermott
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  2. Colm O’Riordan
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Systems, University of Limerick, Ireland

    Michael O’Neill , Richard F. E. Sutcliffe , Conor Ryan , Malachy Eaton  & Niall J. L. Griffith , , ,  & 

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© 2002 Springer-Verlag Berlin Heidelberg

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Dermott, P.M., O’Riordan, C. (2002). A System for Multi-agent Information Retrieval. In: O’Neill, M., Sutcliffe, R.F.E., Ryan, C., Eaton, M., Griffith, N.J.L. (eds) Artificial Intelligence and Cognitive Science. AICS 2002. Lecture Notes in Computer Science(), vol 2464. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45750-X_9

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  • DOI: https://doi.org/10.1007/3-540-45750-X_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44184-7

  • Online ISBN: 978-3-540-45750-3

  • eBook Packages: Springer Book Archive

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