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Proceedings Paper

A Multi-Level Expert System For Repair Applications
Author(s): L. Cinque; M. Crispoldi; F. Fontana; S. Levialdi
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Paper Abstract

In this paper we describe a multi-level knowledge architecture, called M-EXPAIR, that uses meta-knowledge for driving an expert system in the repair domain of a radar display. This system uses a knowledge base containing both a physical and a functional description of the equipment and the history concerning the past diagnosis. M-EXPAIR, that is able to give explanations about its actions, is a variant of a structured production system such that the rules in the fired rule classes are dynamically updated during diagnosis. An example for a radar display device is described to illustrate the actual implementation of M-EXPAIR.

Paper Details

Date Published: 29 March 1988
PDF: 9 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947036
Show Author Affiliations
L. Cinque, L.I.A. Laboratory for Artificial Intelligence (Italy)
M. Crispoldi, L.I.A. Laboratory for Artificial Intelligence (Italy)
F. Fontana, Pisa University (Italy)
S. Levialdi, Rome University (Italy)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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