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Strategies for knowledge acquisition
G Kahn1, S Nowlan, J McDermott
1Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA.; Carnegie Group Inc., Pittsburgh, PA 15219.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
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.
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