Abstract
Second generation knowledge-based systems have reached a stage where they start proving their superiority over traditional expert systems not only in theory but also in applications. Starting from requirements in the domain of DPNet, a diagnosis system for fault localization in high voltage power transmission networks, we outline the foundations of model-based diagnosis. An extension of the theory is presented that allows the system to simplify the model-based reasoning process based on working hypotheses, thus reducing its complexity without sacrificing completeness. Particular emphasis is given to the use of multiple models which turns out to be crucial for a trade-off between completeness of the model-based approach and efficiency requirements when dealing with simple standard cases.
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References
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© 1991 Springer-Verlag Berlin Heidelberg
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Struss, P. (1991). Knowledge-based Systems — The Second Generation Sets to Work. In: Brauer, W., Hernández, D. (eds) Verteilte Künstliche Intelligenz und kooperatives Arbeiten. Informatik-Fachberichte, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76980-1_29
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DOI: https://doi.org/10.1007/978-3-642-76980-1_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54617-7
Online ISBN: 978-3-642-76980-1
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