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Efficient rule base verification using binary decision diagrams

Efficient rule base verification using binary decision diagrams
Efficient rule base verification using binary decision diagrams
As their field of application has evolved and matured, the importance of verifying knowledge-based systems is now widely recognized. Nevertheless, some problems have remained. In this paper, we address the poor scalability to larger systems of the computation methods commonly applied to rule-chain anomaly checking. To tackle this problem, we introduce a novel anomaly checking method based on binary decision diagrams (BDDs), a technique emanating mainly from the hardware design community. In addition, we present empirical evidence of its computational efficiency, especially on rule bases with a deeper inference space.
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d
Mues, Christophe
07438e46-bad6-48ba-8f56-f945bc2ff934
Vanthienen, Jan
6f3d818f-0fce-46fa-966b-160e645caf6d

Mues, Christophe and Vanthienen, Jan (2004) Efficient rule base verification using binary decision diagrams. DEXA 2004: 15h International Conference on Database and Expert Systems Applications, Zaragoza, Spain. 29 Aug - 02 Sep 2004.

Record type: Conference or Workshop Item (Paper)

Abstract

As their field of application has evolved and matured, the importance of verifying knowledge-based systems is now widely recognized. Nevertheless, some problems have remained. In this paper, we address the poor scalability to larger systems of the computation methods commonly applied to rule-chain anomaly checking. To tackle this problem, we introduce a novel anomaly checking method based on binary decision diagrams (BDDs), a technique emanating mainly from the hardware design community. In addition, we present empirical evidence of its computational efficiency, especially on rule bases with a deeper inference space.

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More information

Published date: 2004
Additional Information: Knowledge Processing I Lecture Notes in Computer Science Publisher: Springer Berlin / Heidelberg ISSN: 0302-9743 Title: Database and Expert Systems Applications: 15th International Conference, DEXA 2004, Zaragoza, Spain, August 30-September 3, 2004. Proceedings Editors: Fernando Galindo, Makoto Takizawa, Roland Traunmüller ISBN: 3-540-22936-1 DOI: 10.1007/b99664 page 445
Venue - Dates: DEXA 2004: 15h International Conference on Database and Expert Systems Applications, Zaragoza, Spain, 2004-08-29 - 2004-09-02

Identifiers

Local EPrints ID: 36165
URI: http://eprints.soton.ac.uk/id/eprint/36165
PURE UUID: 245ed919-910a-4eb6-96d9-3b1c0698300b
ORCID for Christophe Mues: ORCID iD orcid.org/0000-0002-6289-5490

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Date deposited: 24 May 2006
Last modified: 08 Apr 2022 01:38

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Contributors

Author: Christophe Mues ORCID iD
Author: Jan Vanthienen

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