Advertisement

Representing exceptions in rule-based systems

  • P. L. Tan
  • T. S. Dillon
  • J. Zeleznikow
Knowledge Acquisition And Representation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 406)

Abstract

Making inferences and decisions in an imprecise and changing world limits the potential leverage of a system, particularly, in occurrence of exceptions. Many rule-based systems which make inferences using rules attempt to deal with expected exceptions by augmenting the rules in the knowledge base. The result is a whole tree of rules which widens the search space of a goal. This paper introduces several kinds of exceptions and presents a methodology for representing exceptions at the object level and meta level of rule-based systems. The proposed approach accommodates instance exceptions as well as assertion exceptions, hence allowing for the recognition of exception rules as distinct from the normal rules in rule-based systems.

Keywords and phrases

object-level rules meta-level rules rule model exceptions 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

6. References

  1. 1. [Christian 84]
    Christian, F., "On Exceptions, Failures, and Errors", Research report: RJ 4486, IBM Research Laboratory, San Jose, California, 1984. pp. 4.Google Scholar
  2. 2. [Davis 85]
    Davis,R and Buchanan, B.G., "Meta-level knowledge: Overview and Applications", in Brachman,R and Levesque,H (eds), Readings in Knowledge Representation, Morgan Kaufmann, Los Altos,1985,pp. 389–397.Google Scholar
  3. 3. [Duda 84]
    Duda, R.D. and Rebok, R., "AI and Decision Making: The PROPSECTOR Experience", Reitman, W. (ed), Artificial Intelligence Applications for Business, Ablex Publishing Corporation, 1984, pp. 136.Google Scholar
  4. 4. [Shortliffe 76]
    Shortliffe, E.H., Computer Based Medical Consultation: MYCIN, American Elsevier, New York (1976).Google Scholar
  5. 5. [Stefanek 87]
    Stefanek, G and Chang, S.K., "A methodology for rule-base integrity in expert systems", AFIPS Proc. of the National Computer Conferences, Vol. 56, (June 1987), PP. 77–85.Google Scholar
  6. 6. [Stachowitz 87]
    Stachowitz,R.A. and Combs,J.B., "Validation of Expert Systems", Proc. of the Twentieth Annual Hawaii International Conference on System Sciences, (1987), pp. 686–695.Google Scholar
  7. 7. [Touretzky 86]
    Touretzky, D.S., (1986) "The Mathematics of Inheritance Systems", Pitman Research Notes in Artificial Intelligence, Pitman Publishing Limited, London.Google Scholar
  8. 8. [Zadeh 83]
    Zadeh, E.H., "Commonsense knowledge representation based on fuzzy logic.", IEEE Computer, Oct 1983, pp. 61–65.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • P. L. Tan
    • 1
  • T. S. Dillon
    • 1
  • J. Zeleznikow
    • 1
  1. 1.Department of Computer ScienceLa Trobe UniversityBundooraAustralia

Personalised recommendations