Abstract
This paper introduces two learning approaches used in different phases of a diagnostic system's life cycle. First, an initial knowledge-base is built using an explanation-based learning approach which generates diagnostic rules. A functional model of the object to be diagnosed constitutes the necessary domain knowledge. Later when the system is operational, analogical inferences which utilize taxonomic information continue to improve its diagnostic performance. In this way knowledge which is ‘objectivized’ by the model can be acquired, greatly improving the performance of a pure model-based diagnosis while preserving the advantages of the model-based approach.
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Carbonell, J. G.: Derivational Analogy — A Theory of Reconstructive Problem Solving and Expertise Acquisition. In: Michalski, R. S.; Carbonell, J. G.; Mitchell, T. M. (eds.): Machine Learning — An Artificial Intelligence Approach, Vol. 2. Los Altos, Calif.: Morgan Kaufmann, 1986.
Davis, R.: Diagnostic Reasoning Based on Structure and Behavior. In: Artificial Intelligence 24(1984), pp. 347–410.
DeJong, G.; Mooney, R.: Explanation-Based Learning — An Alternative View. In: Machine Learning 1 (1986) 2.
de Kleer, J.; Brown, J. S.: A Qualitative Physics Based on Confluences. In: Artificial Intelligence 24(1984), pp. 7–83.
de Kleer, J.; Williams, B. C.: Diagnosing Multiple Faults. In: Artificial Intelligence 32(1987), pp. 97–130.
Mitchell, T. M.; Keller, R.; Kedar-Cabelli, S.: Explanation-Based Generalisation — A Unifying View. In: Machine Learning 1 (1986) 1.
Spur, G.; Weiß, S.: Application of Model-based Diagnosis to Machine Tools. Proc. of the International Workshop of Expert Systems in Engineering, September 24–26, 1990, Vienna. Berlin, Heidelberg, New York: Springer, 1990.
Struß, P.: Structuring of Models and Reasoning About Quantities in Qualitative Reasoning. Ph. D. Thesis, University of Kaiserslautern, January 1989.
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© 1992 Springer-Verlag Berlin Heidelberg
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Specht, D., Weiß, S. (1992). Supporting model-based diagnosis with explanation-based learning and analogical inferences. In: Belli, F., Radermacher, F.J. (eds) Industrial and Engineering Applications of Artificial Intelligence and Expert Systems. IEA/AIE 1992. Lecture Notes in Computer Science, vol 604. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0024983
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DOI: https://doi.org/10.1007/BFb0024983
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