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Efficient Rule Base Verification Using Binary Decision Diagrams

  • Christophe Mues
  • Jan Vanthienen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3180)

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.

Keywords

Boolean Function Rule Base Binary Decision Diagram Label Size Rule Instance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Christophe Mues
    • 1
    • 2
  • Jan Vanthienen
    • 1
  1. 1.K.U.LeuvenLeuvenBelgium
  2. 2.School of ManagementUniversity of SouthamptonSouthamptonUnited Kingdom

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