DocumentCode :
1123173
Title :
Strategies for Knowledge Acquisition
Author :
Kahn, Gary ; Nowlan, Steven ; McDermott, John
Author_Institution :
Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA.; Carnegie Group Inc., Pittsburgh, PA 15219.
Issue :
5
fYear :
1985
Firstpage :
511
Lastpage :
522
Abstract :
This paper describes knowledge acquisition strategies developed in the course of handcrafting a diagnostic system and reports on their consequent implementation in MORE, an automated knowledge acquisition system. We describe MORE in some detail, focusing on its representation of domain knowledge, rule generation capabilities, and interviewing techniques. MORE´s approach is shown to embody methods which may prove fruitful to the development of knowledge acquisition systems in other domains.
Keywords :
Additives; Buildings; Chemicals; Computer science; Diagnostic expert systems; Drilling; Knowledge acquisition; Knowledge engineering; Multiuser detection; Testing; Artificial intelligence; automated interviewing; causal models; diagnosis; expert systems; knowledge acquisition; knowledge engineering;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.1985.4767699
Filename :
4767699
Link To Document :
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