Abstract
This paper presents a new methodology to restructure rule bases through the combination of Explanation-Based Learning (EBL) and knowledge abstraction techniques. Performance improvements resulting from restructuring are assessed in terms of pattern matching activity during problem solving. The introduction of redundancy that results as a side effect of the restructuring techniques is discussed and algorithms are presented to control it. Examples and experimental results using typical problems are presented.
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© 1994 Springer-Verlag Berlin Heidelberg
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Lopez-Suarez, A., Kamel, M. (1994). Restructuring rule bases to improve performance. In: Raś, Z.W., Zemankova, M. (eds) Methodologies for Intelligent Systems. ISMIS 1994. Lecture Notes in Computer Science, vol 869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58495-1_40
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DOI: https://doi.org/10.1007/3-540-58495-1_40
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