Automating Knowledge Acquisition in Diagnosis

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ConferenceProceedings of the Fourth International Workshop on Principles of Diagnosis, September 6-8, 1993., Abersythwyth, Wales
AbstractThis paper argues that automated knowledge acquisition for diagnosis has had limited success in both failure-driven diagnosis and model-based diagnosis. The paper describes fault-based and model-based reasoning for diagnosis and surveys some of the approaches to knowledge acquisition in both areas. The Hakeem algorithm I am currently implementing for the automated generation of behavioural models from fault-based knowledge is presented. An example of fault-based knowledge from the Jet Engine Troubleshooting Assistant (JETA) is used to demonstrate how a behavioural model can be extracted with Hakeem.
Publication date
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number35111
NPARC number8899737
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Record identifierb386cf8f-4d87-40d0-a8d4-e3e094d85433
Record created2009-04-22
Record modified2016-05-09
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