Towards the Visualization and Understanding of Diagnoses in a Physical System

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TypeArticle
ConferenceProceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92) Workshop on Communicating Scientific and Technical Information, July 15, 1992., San José, California, USA
AbstractDiagnosis of physical systems such as car or aircraft engines tends to be a complex activity. Technicians combine textual manuals with schematics and some analysis of measured data to diagnose and repair engines. Knowledge-based system designers have added heuristics to hypermedia (mostly text and graphic) representations of manuals to simplify the tasks of the technicians as in JETA [Halasz91]. Knowledge browsers for such systems are used by the knowledgeengineers to structure and input the knowledge base and in a limited capacity are used to help the domain experts visualize the knowledge and the various possible relations as implemented for the JETA browser. In RATIONALE, a diagnostic system that reasons by explaining, explanation was used to understand the reasoning in the knowledge-based system [Abu-Hakima90]. This position paper argues that although these knowledge-based approaches help in the visualization and understanding of diagnoses in physical systems, they need to be improved and better integrated into an overall diagnostic system. Some of the many issues that arise in trying to achieve this are discussed in the paper.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number33198
NPARC number8913381
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Record identifierf4c57e19-43a6-48fe-8dbf-05d13531d269
Record created2009-04-22
Record modified2016-05-09
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