Automating Knowledge Acquisition in Diagnosis Automating Knowledge Acquisition in Diagnosis
نویسنده
چکیده
This 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 Hakeem1 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.
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