The Use of Context in Diagnostic Systems

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TypeArticle
ConferenceProceedings of the International Joint Conference on Artificial Intelligence (IJCAI-93) Workshop on Using Knowledge in its Context, August 28, 1993., Chambery, France
AbstractThe use of context is essential in acquiring and representing knowledge as well as in justifying or explaining knowledge-based systems behaviour especially in diagnosis. RATIONALE is a workstation diagnosis system that establishes context in reasoning so that it may explain [Abu-Hakima 88]. JETA assists a technician in troubleshooting an aircraft engine and uses context to guide the technician in fault diagnosis and in generating contextual help using hypermedia [Halasz et al. 92; Abu-Hakima et al. 93]. This position paper argues that fault-based or failure-driven diagnosis is by its nature a contextual task and can more easily be used to support user interaction through explanation than other diagnostic approaches such as model-based reasoning. This position paper will elaborate on the diagnostic strategies used in RATIONALE and JETA and how they facilitate the use of contextual reasoning. Some of the issues and approaches needed to achieve contextual diagnosis in model-based reasoning versus fault-based reasoning conclude the paper.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number35096
NPARC number8913756
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Record identifierd074a365-25b9-4f52-a0ec-8ae0c1cb4e84
Record created2009-04-22
Record modified2016-05-09
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