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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© 2004 Springer-Verlag Berlin Heidelberg
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Mues, C., Vanthienen, J. (2004). Efficient Rule Base Verification Using Binary Decision Diagrams. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_43
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DOI: https://doi.org/10.1007/978-3-540-30075-5_43
Publisher Name: Springer, Berlin, Heidelberg
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