Learning procedural knowledge through observation

  • Authors:
  • Michael van Lent;John E. Laird

  • Affiliations:
  • University of Southern California, Marina del Rey, CA;University of Michigan, Ann Arbor, MI

  • Venue:
  • Proceedings of the 1st international conference on Knowledge capture
  • Year:
  • 2001

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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.