Skip to main content
SpringerLink
Log in

User Modelling in Knowledge-Based Systems

  • Chapter
Cognition, Semantics and Philosophy

Part of the book series: Philosophical Studies Series ((PSSP,volume 52))

  • 141 Accesses

Abstract

Computational models for interactive communication have been a growing area of activity in the last decade, both in theoretical investigation and as in practical implementations. Within this framework, we will pay attention to situations where different agents collaborate to solve a problem. In particular, we will now focus on the simplest form, considering two participants; a computer system and a user. Let us suppose they can communicate by formal, (restricted) natural language, graphics or any other means in order to achieve a given goal.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allen, J., C. Perrault. Analyzing intention in utterances. Artificial Intelligence 15, pg. 143–178,1982.

    Article  Google Scholar 

  2. Brachman, R., H. Levesque. Readings in Knowledge Representation. Morgan Kaufmann, Los Altos California, 1985.

    Google Scholar 

  3. Brown, J., R. Burton. Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, vol. 2, pg. 155–191. 1978.

    Article  Google Scholar 

  4. Clancey, W.J. The epistemology of a rule-based expert system: a frame work for explanation. Artificial Intelligence, vol. 20, no. 3, pg. 215–252.1983.

    Article  Google Scholar 

  5. Clancey, W.J. From GUIDON to NEOMYCIN and HERACLES in twenty short lessons: ONR final report 1979–1985.A I Magazine, vol. 7, no. 3, pg. 40–60.

    Google Scholar 

  6. Garijo, F.,M.F. Verdejo, A. Diaz, I. Fernadez, K. Sarasola. CAPRA: an intelligent system to teach novice programmers. In Perspectives of Artificial Intelligence. Campbell & Cuena exit. Vol. 2, Ellis Horwood International, 1989.

    Google Scholar 

  7. Kobsa, A., W. Wahlster. Special Issue on User modeling. Computational Linguistics, vol. 14, n°-3, Setiembre, 1988.

    Google Scholar 

  8. Langley, P., S. Ohlsson, S. Sage. Machine learning approach to student modelling. Technical Report CMU-RI-TR-84–7. Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, 1984.

    Google Scholar 

  9. Litman, D., J. Allen. A plan recognition model for clarification subdialogues. Proc of the 10th Int. Conf on Computational Linguistics.

    Google Scholar 

  10. Searle, J.Speech Acts: an essay in the Philosophy of Language. Cambridge University Press, Cambridge U.K. 1969.

    Book  Google Scholar 

  11. Sleeman, D., M.J. Smith. Modelling student’s problem solving. Artificial Intelligence, vol. 16, pg. 171–188. 1981.

    Article  Google Scholar 

  12. Sleeman, D. Inferring students models for intelligent computer-aided instruction. Machine Learning pg. 483–510. 1983.

    Google Scholar 

  13. Sleeman, D. A user-modelling front-end subsystem. Int. Jrnl Man-Machine Studies, vol. 23, n° 1, pg 71–88. 1984.

    Google Scholar 

  14. Stevens, A., A. Collins. Misconceptions in student’s understanding. En Intelligent Tutoring Systems. Brown, Sleeman (edt) Academic Press, 1982.

    Google Scholar 

  15. Spohrer, J., E. Soloway, E. Pope. A goal/plan analysis of buggy Pascal programs. Human-Computer Interaction, vol. 1, n°2, pg. 163–207.

    Google Scholar 

  16. Urretavizcaya, M., M.F. Verdejo. Estudio de modelos de estudiante y sistemas debugger de programacion: su disefio en CAPRA. Report Facultad de Informó tica 6/88. Barcelona, 1988.

    Google Scholar 

  17. Weber, B. Questions, answers, and responses: interacting with Knowledge Base systems. En Brodie, M., (eds). On Knowledge Base Systems. Springer Verlag, Berlin, 1986.

    Google Scholar 

  18. Wilensky, R., D. Chin, M. Luria, J. Martin, J. Mayfield, and D. Wu. The Berkeley UMX Consultant Project. Computational Linguistics, vol. 14, n° 4, 1988.

    Google Scholar 

  19. Wenger, E. Artificial intelligence and Tutoring Systems. Computational and Cognitive approaches to the Communication of Knowledge. Morgan Kaufmann, 1987.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Universidad Politécnica de Cataluña, Spain

    M. Felisa Verdejo

Authors
  1. M. Felisa Verdejo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of the Basque Country, San Sebastián, Spain

    Jesús Ezquerro  & Jesús M. Larrazabal  & 

Rights and permissions

Reprints and permissions

Copyright information

© 1992 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Verdejo, M.F. (1992). User Modelling in Knowledge-Based Systems. In: Ezquerro, J., Larrazabal, J.M. (eds) Cognition, Semantics and Philosophy. Philosophical Studies Series, vol 52. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-2610-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-2610-6_2

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-5153-8

  • Online ISBN: 978-94-011-2610-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation