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The Acquisition of Procedural Knowledge through Inductive Learning

  • Kaihu Chen
Part of the The Kluwer International Series in Engineering and Computer Science book series (SECS, volume 12)

Abstract

Most induction systems previously developed are concerned with the acquisition of generalized characteristic descriptions from training instances represented in either attribute tuples or first order predicate (or their variations). An extension to the problem can be achieved by allowing each training instance to take the form of a sequence of descriptions, which may represent an instance of an operation sequence, or the description of a temporal event.

Keywords

Procedural Knowledge Training Instance Induction System Canonical Representation Operation Sequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1986

Authors and Affiliations

  • Kaihu Chen
    • 1
  1. 1.Artificial Intelligence Laboratory, Department of Computer ScienceUniversity of Illinois at Urbana-ChampaignUSA

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