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The consistency problem of knowledge bases

Published: 01 June 1990 Publication History

Abstract

To check and analyze the effectiveness of knowledge base system is a very important issue for implementing the promises of AI technology. This issue has been largely ignored by researchers in this field. This paper will focus on and present the consistency problem, which is a important aspect of knowledge base effectiveness analysis, of knowledge base systems. The 'classical' definition for consistency of a formal system is inadequate for many cases under knowledge base system context. The earlier work by others have roughly defined the consistency problem of knowledge base systems, and given some simplified results. We will develop a qualitative model for the knowledge base systems, and investigate some properties of the rule set of the knowledge base. This model can be used for specification and analysis of the behaviors of the knowledge base systems. Based on this model, we will further identify and clarify the consistency problem of knowledge base system and propose a model-based methodology used for checking and analyzing the consistency of a given knowledge base system. This model-based checking methodology may help for the design and implementation of the knowledge base systems in many applications.

References

[1]
Cragun, Brian J and Steudel, Harold J, "A De~ision-Table-Based Processor for Checking Completeness and Consistency in Rule-Based Expert Systems," Int. J. Man-Machine Studies, vol. 26, pp. 633-648, 1987.
[2]
Enderton, H~ B., in A Mathematical Introduction to Logic, Academic Press, New York, 1972.
[3]
Genesereth, M. R. and Nilson, N. J., Foundamental Logic of Artificial Intelligence, Morgan Kaufman Publishers, Inc, 1987.
[4]
Nguyen, T., "Verifying Consistency of Production Systems," in IEEE Proceedings of the Third Conference on AI Applications, pp. 4 - 8, Washington DC, 1987.
[5]
Nguyen, T. A., Perkins, W. A., and Laffey, T. J., "Checking an Expert Systems Knowledge Base for Consistency and Completeness," in Proceedings of the Ninth International Joint Conference on the Artificial Intelligence, pp. 375 - 378, 1985.
[6]
Nguyen, Tin A., Perkins, Walton A., Laffey, Thomas J., and Pecora, Deanne, "Knowledge Base Verification," AI MAGAZINE, vol. SUMMER, pp. 69- 75, 1987.
[7]
Nilsson, N. J., in Principle of Artificial Intelligence, Tioga, Palo Alto, Calif, 1980.
[8]
Shensheng, Zhao, "Effectiveness Analysis of Knowledge Base System," Ph.D Dissertation Under Preparation, 1990.
[9]
Suwa, M., Scoff, A. C., and Shortliffe, E. H., "An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System," A/ Magazine, pp. 16- 21, 1982.
[10]
Suwa, M., Scott, A., and Shortliffe, E., "Completehess and Consistency in Rule Based Systems," in Rule Based Expert Systems, ed. B. Buchanan, E. Shortliffe, pp. 159-170, Addison - Wesley, 1985.

Cited By

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  • (2017)Specifying Constraints for Detecting Inconsistencies in A Conceptual Graph Knowledge BaseInternational Journal of Conceptual Structures and Smart Applications10.5555/3193881.31938845:2(34-64)Online publication date: 1-Jul-2017
  • (2017)Specifying Constraints for Detecting Inconsistencies in A Conceptual Graph Knowledge BaseInternational Journal of Conceptual Structures and Smart Applications10.4018/IJCSSA.20170701035:2(34-64)Online publication date: Jul-2017

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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
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 June 1990

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Cited By

View all
  • (2017)Specifying Constraints for Detecting Inconsistencies in A Conceptual Graph Knowledge BaseInternational Journal of Conceptual Structures and Smart Applications10.5555/3193881.31938845:2(34-64)Online publication date: 1-Jul-2017
  • (2017)Specifying Constraints for Detecting Inconsistencies in A Conceptual Graph Knowledge BaseInternational Journal of Conceptual Structures and Smart Applications10.4018/IJCSSA.20170701035:2(34-64)Online publication date: Jul-2017

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