Examples and Learning Systems

  • Edwina L. Rissland
Part of the NATO Conference Series book series (NATOCS, volume 16)


Any system that learns or adapts — whether well- or ill-defined, man or machine — must have examples, experiences, and data on which to base its learning or adaptation. Too often, however, the examples that form the basis of learning are taken for granted. This paper will concentrate on the examples as a study in their own right.


Learning System Generate Test Data Empty List Prior Problem Phrase Structure Grammar 
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

© Plenum Press, New York 1984

Authors and Affiliations

  • Edwina L. Rissland
    • 1
  1. 1.Department of Computer and Information ScienceUniversity of MassachusettsAmherstUSA

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