A framework for assigning probabilities in knowledge-based systems | SpringerLink
Skip to main content
Springer Nature Link
Log in

A framework for assigning probabilities in knowledge-based systems

  • Section II Approaches To Uncertainty C) Probability Theory
  • Conference paper
  • First Online:
Uncertainty in Knowledge-Based Systems (IPMU 1986)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 286))

  • 612 Accesses

Abstract

This paper discusses a framework for assigning probabilities to rules in an expert system to deal with uncertainty knowledge processing. The objective is to enable a system to respond to environmental or uncontrollable factors in a strategic manner. We define guards for representing probabilities and then discuss operators and axioms, as part of a problem solver, for guiding probability assignments. We then demonstrate the capabilities of this problem solver by applying to an example taken from game theory.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Aikins, J.S. “A Representation Scheme Using Both Frames and Rules,” In Rule-based Expert Systems, B.G. Buchanan and E.H. Shortliffe, Eds. Addison-Wesley, Reading, Mass., 1984, pp. 424–440.

    Google Scholar 

  2. Bobrow, D.G., and Winograd, T. “An Overview of KRL, A Knowledge Representation Language,” Cognitive Science, 1,1 (Jan. 1977), pp. 3–46.

    Google Scholar 

  3. Brachman, R.J., and Schmolze, J.G. “An Overview of the KL-ONE Knowledge Representation System,” Cognitive Science, 9,2 (April 1985), pp. 171–216.

    Google Scholar 

  4. Fikes, R. and Kehler, T. “The Role of Frame-based Representation in Reasoning,” CACM, Vol. 28, No. 9, Sept. 1985, pp. 904–920.

    Google Scholar 

  5. Hayes-Roth, F., Waterman, D.A., and Lenat, D.B. Building Expert Systems, Addison-Wesley, Reading, Mass., 1983.

    Google Scholar 

  6. Hayes-Roth, F., “Rule Based Systems,” CACM, Vol. 28, No. 9, Sept. 1885, pp 921–932

    Google Scholar 

  7. Kehler, T.P., and Clemenson, G.D. “An Application Development System for Expert Systems,” em System Software 3,1 (Jan 1984), 212–224.

    Google Scholar 

  8. Nilsson, N.J., Principles of Artificial Intelligence, Tioga Publishing, Palo Alto, CA, 1979.

    Google Scholar 

  9. Raiffa, L. Games and Decisions, John Wiley, New York 1957.

    Google Scholar 

  10. Shortliffe, E.H. Computer Based Medical Consultations: MYCIN, Elsevier North Holland, New York, 1976.

    Google Scholar 

  11. Slagle, J.R. and L.M. Norton, “Experiments with An Automatic Theorem-Prover Having Partial Reordering Inference Rules,” CACM, Vol.16, No.11, 1973, pp 682–688.

    Google Scholar 

  12. Stefik, M., Bobrow, D.G., Mittal, S., and Conway, L. “Knowledge Programming in LOOPS: Report on An Experimental Course,” Artificial Intelligence 4,3 (Fall 1983), 3–14.

    Google Scholar 

  13. Warren, D.H. and L.M. Pereira, “PROLOG: The Language and Its Implementation Compared with LISP,” Proc. ACM Symp. on Artificial Intelligence and Programming, University of Rochester, Rochester, NY, August, 1977, pp 109–115.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Accounting and Management Information Systems, The Ohio State University, 1775 College Road, 43210, Columbus, OH

    Sheldon Shen

Authors
  1. Sheldon Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

B. Bouchon R. R. Yager

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Shen, S. (1987). A framework for assigning probabilities in knowledge-based systems. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_18

Download citation

  • DOI: https://doi.org/10.1007/3-540-18579-8_18

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation