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.
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6. References
Christian, F., "On Exceptions, Failures, and Errors", Research report: RJ 4486, IBM Research Laboratory, San Jose, California, 1984. pp. 4.
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.
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.
Shortliffe, E.H., Computer Based Medical Consultation: MYCIN, American Elsevier, New York (1976).
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.
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.
Touretzky, D.S., (1986) "The Mathematics of Inheritance Systems", Pitman Research Notes in Artificial Intelligence, Pitman Publishing Limited, London.
Zadeh, E.H., "Commonsense knowledge representation based on fuzzy logic.", IEEE Computer, Oct 1983, pp. 61–65.
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© 1990 Springer-Verlag Berlin Heidelberg
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Tan, P.L., Dillon, T.S., Zeleznikow, J. (1990). Representing exceptions in rule-based systems. In: Barter, C.J., Brooks, M.J. (eds) AI '88. AI 1988. Lecture Notes in Computer Science, vol 406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52062-7_83
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DOI: https://doi.org/10.1007/3-540-52062-7_83
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