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CHECKER: an efficient algorithm for knowledge base verification

Published: 01 June 1990 Publication History

Abstract

MIDST (Mixed Inferencing Dempster Shafer Tool) is a rule-based expert system shell that incorporates mixed-initiative reasoning and uncertain reasoning based on the Dempster Shafer evidence combination scheme. This paper discusses the CHECKER program, a subcomponent of MIDST, which makes use of the existing rule network structure to check the consistency and completeness of the MIDST knowledge base in a efficient manner.

References

[1]
D.A. Waterman and F. Hayes-Roth, "An Investigation of Tools for Building Expert Systems", from Building Expert Systems, F. Hayes-Rot}l, D.A. Waterman, and D.B. Lenat, eds., pp. 169-215, Addison-Weseley, Reading, MA, 1983.
[2]
P. Harmon and D. King, Expert Systems: Artificlal Intelligence in Business, John Wiley, New York, 1985.
[3]
W. Mettrey, "An Assessment of 'Tools for Building Large Knowledge-Based Systems", AI Magazine, vol. 8, pp. 81-89, 1987.
[4]
R. Davis, "TEIRESIAS: Applications of Meta Level Knowledge", from Knowledge-Based Systems in Artificial Intelligence, (by R. Davis and D.B. Lenat), pp. 229-484, McGraw Hill, New York, 1983.
[5]
Suwa, M., Scott, A. C., and Shortliffe, E. H., "Completeness and Consistency in a Rule-based System", Rule-Base Expert Systems, pp. 159-170, 1984.
[6]
Reid G. Smith, Howard A. Winston, Tom M. Mitchell and Bruce G. Buchanan, "Representation and Use of Explicit Justifications for Knowledge Base Refinement", Proceedings AAAI, 1987.
[7]
G. Bisw~s ~nd T.S. Anand, "Using the Dempster- Sharer Scheme in a Diagnostic Expert System Shell", Proceedings of the Third Workshop on Artificla} Intelligence, Seattle. $VA. pp. 98-105, 1987.
[8]
G. Biswas, W.J. Itagins. and X. Yu, "Updates to MIDST' An Expert System Shell for Mixed Initiative Reasoning", Technical Report. 88-15, Vanderbilt University, Nashville. TN. 1988.
[9]
Till A. N guyen, W. A. Perkins, T. J. Laffey and D. pecora. "Checking An Expert Systems Knowledge Base For Consistency And Completeness", Proceedings of the Ninth International Joint Conference on Ai, pp. 375-378, Los Angeles, CA., 1985.
[10]
Tin A. Nguyen. "Verifying Consistency of Production Systems", Proceedings of the Third Conference on Artificial Intelligence Applications, pp. 4-8, Washington D.C. 198 7.
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Brian J. Cragun and Harold J. SteudeI, "A decisiontable-based processor for checking completeness and consistency in rule-based expert systems", International Journal of Man-Machine Studies, Vol. 26, pp. 633- 638, I987.
[12]
Tin A. Nguyen. Walton A. Perkins, Thomas J. Laffey and Deanne Pecora. "Knowledge Base Verification", AI Magazine, Vol 8 No. o, . ., pp. 69-74 1987
[13]
G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, NJ, 1988.
[14]
G. Biswas and T.S. Anand, "An Expert System Shell for ML-zed-initiative Reasoning", Journal of the Indian Institute of Science. pp. 465 - 490, 1987.
[15]
G. Biswas, M. Oliff. and R. Abramczyk, "OASES' All Application in Fiberglass Manufacturing", Intl. Journal of Expert System. vol. 1, pp. 193-216, 1988.
[16]
G. Biswas, C.G.S.C. Kendall, R.L. Cannon, and J.C. Bezdek. "XX' Hydrocarbon Exploration using a Knowledge Based Approach", Tech. Report, Dept. of Computer Science, Univ. of South Carolina, Columbia, S.C., 1988.
[17]
David C. Wilkins and Bruce G. Buchanan, "On Debugging Rule Sets When Reasoning Under Uncertainty", Proceedings AAAI-86, pp. 448-454, Philadelphia, PA, 1986.

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cover image ACM Conferences
IEA/AIE '90: Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2
June 1990
591 pages
ISBN:0897913728
DOI:10.1145/98894
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Published: 01 June 1990

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