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Modelling Information Retrieval Agents with Belief Revision

  • Conference paper
SIGIR ’94

Abstract

This paper describes the development and computational testing of a model of the information intermediary based on an AI theory of belief revision. We describe the theoretical foundations of the work in a general account of the way an agent’s beliefs and intentions are formed and modified, and in an analysis of the functional tasks an intermediary has to carry out; we indicate the specific developments required to automate and integrate both aspects of intermediary behaviour, as determinants of interactive dialogue with the user; and report, with illustrations, on tests and findings. The research shows that such approaches can be implemented in an essentially principled manner, though there are many large problems still to be overcome, and our experiments are only the first, extremely simple, trials of the basic strategy for intermediary simulation.

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References

  1. Logan, B. et al. “Belief revision and dialogue management in informat vval”. Technical Re-port, Computer Laboratory, University of Cambridge, 1994

    Google Scholar 

  2. Cawsey, A. et al. “Automating the librarian: belief revision as a base for system action and communication with the user”. The Computer Journal 1992; 35: 221–232

    Article  Google Scholar 

  3. Galliers, J. R. “Autonomous belief revision and communication”. In: Gärdenfors P. (ed) Belief revision. Cambridge University Press, Cambridge, 1992, pp 220–246

    Chapter  Google Scholar 

  4. Belkin, N. J., Seeger, T. and Wersig, G. “Distributed expert problem treatment as a model for information systems analysis and design”. Journal of Information Science 1983; 5: 153–167

    Article  Google Scholar 

  5. Belkin, N. J., Hennings, R. D. and Seeger, T. “Simulation of a distributed expert-based information provision mechanism”. Information Technology 1984; 3: 122–141

    Google Scholar 

  6. Brooks, H. M., Daniels, P. J. and Belkin, N. J. “Problem descriptions and user models: developing an intelligent interface for document retrieval systems”. In: Informatics 8: Advances in intelligent retrieval. Aslib, London, 1985

    Google Scholar 

  7. Brooks, H. M. An intelligent interface for document retrieval systems: developing the problem description and retrieval strategy components. PhD Thesis, City University, London, 1986

    Google Scholar 

  8. Daniels, P. J. Developing the user modelling function of an intelligent interface for document retrieval systems. PhD Thesis, City University, London, 1987

    Google Scholar 

  9. Ingwersen, P. Intermediary functions in information retrieval interaction. PhD Thesis, Copenhagen Business School, 1991.

    Google Scholar 

  10. De Kleer, J. “An assumption-based truth maintenance system”. Artificial Intelligence 1986; 28: 127–162

    Article  Google Scholar 

  11. De Kleer, J. “Extending the ATMS”. Artificial Intelligence 1986; 28: 163–196

    Article  Google Scholar 

  12. Cawsey, A. et al. “Automating the librarian: a fundamental approach using belief revision”, Technical Report 243, Computer Laboratory, University of Cambridge, 1992

    Google Scholar 

  13. Brajnik, G., Guida, G. and Tasso, C. “User modelling in expert man-machine interfaces: a case study in intelligent information retrieval”. IEEE Transactions on Systems, Man, and Cybernetics 1990; 20: 166–185

    Article  Google Scholar 

  14. Fox, E. A., Weaver, M. T., Chen, Q.-F. and France, R. K. “Implementing a distributed expert-based information retrieval system”. In: Proceedings of RIAD 88 Conference on User-Oriented, Content-Based Text and Image Handling. MIT Press, Cambridge MA, 1988, pp 708–726

    Google Scholar 

  15. Croft, W. B. and Thompson, R. H. “BR: a new approach to the design of document retrieval systems”. Journal of the American Society for Information Science 1987; 38: 389–404

    Article  Google Scholar 

  16. Cawsey, A. et al. “A comparison of architectures for multi-agent communication”. In: ECAI-92, 10th European Conference on Artificial Intelligence, 1992, pp 249–251

    Google Scholar 

  17. Allen, J. Natural Language Understanding. Benjamin/Cummings Publishing Company, Menlo Park CA, 1987

    Google Scholar 

  18. Kowtko, J.C., Isard, S.D. and Doherty, G.M. “Conversational games within dialogue”. Research Paper HCRC/RP-31, Human Communication Research Centre, University of Edinburgh, 1992

    Google Scholar 

  19. Vickery, A. et al. “A reference and referral system using expert system techniques”. Journal of Documentation. 1987; 43: 1–23

    Article  Google Scholar 

  20. Bates, M.J. “Where should the person stop and the information search start?”.Information Processing and Management 1990; 26:575–591

    Article  Google Scholar 

  21. Shute, S.J. and Smith, P.J. “Knowledge-based search tactics”. Information Processing and Management 1993; 29: 29–45

    Article  Google Scholar 

  22. Traum, D.R. “The discourse reasoner in TRAINS-90”. TRAINS Technical Note 91–5, Department of Computer Science, University of Rochester, 1991

    Google Scholar 

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© 1994 Springer-Verlag London Limited

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Logan, B., Reece, S., Jones, K.S. (1994). Modelling Information Retrieval Agents with Belief Revision. In: Croft, B.W., van Rijsbergen, C.J. (eds) SIGIR ’94. Springer, London. https://doi.org/10.1007/978-1-4471-2099-5_10

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  • DOI: https://doi.org/10.1007/978-1-4471-2099-5_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19889-5

  • Online ISBN: 978-1-4471-2099-5

  • eBook Packages: Springer Book Archive

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