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Object‐oriented representations, causal reasoning and expert systems
Author(s) -
Narayanan Ajit,
Jin Yuanping
Publication year - 1991
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/j.1468-0394.1991.tb00245.x
Subject(s) - computer science , interpretation (philosophy) , representation (politics) , domain (mathematical analysis) , knowledge representation and reasoning , expert system , object (grammar) , artificial intelligence , frame (networking) , domain knowledge , model based reasoning , reasoning system , object oriented programming , natural language processing , software engineering , programming language , mathematical analysis , mathematics , politics , law , telecommunications , political science
In this article we describe how two popular AI representation techniques—frames and production systems— can be usefully combined under a general AI object‐oriented approach to problems which arise in the domain of hardware fault diagnosis. One of the main advantages of such a combination is that causal reasoning— crucial to the domain under consideration — can also be naturally and effectively represented. In order to put the combination of frames and production systems on a sound methodological footing, we first provide a knowledge engineering methodology which is an object‐oriented re‐interpretation of ontological analysis.