Strategies for Knowledge Acquisition

Authors:
Gary Kahn;Steven Nowlan;John McDermott
Affiliations:
Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA./ Carnegie Group Inc., Pittsburgh, PA 15219.;Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA. 15213.;Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA. 15213.
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1985

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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.