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Learning procedural knowledge through observation

Published:22 October 2001Publication History

ABSTRACT

The research presented here describes a framework that provides the necessary infrastructure to learn procedural knowledge from observation traces annotated with goal transition information. One instance of a learning-by-observation system, called KnoMic (Knowledge Mimic), is developed within this framework and evaluated in a complex domain. This evaluation demonstrates that learning by observation can acquire procedural knowledge and can acquire that knowledge more efficiently than standard knowledge acquisition.

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      • Published in

        cover image ACM Conferences
        K-CAP '01: Proceedings of the 1st international conference on Knowledge capture
        October 2001
        220 pages
        ISBN:1581133804
        DOI:10.1145/500737
        • Conference Chairs:
        • Yolanda Gil,
        • Mark Musen,
        • Jude Shavlik

        Copyright © 2001 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 22 October 2001

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        Acceptance Rates

        K-CAP '01 Paper Acceptance Rate26of82submissions,32%Overall Acceptance Rate55of198submissions,28%

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