Learning by Understanding Analogies

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

Abstract

This research describes a method for learning by analogy — i.e., for proposing new conjectures about a target analogue based on facts known about a source analogue. We formalize this process as a rule of plausible inference and present heuristics which guide this process towards efficiently postulating useful new conjectures. The most important rule involves the use of abstractions — abstract relations that encode solution methods to past problems.

Keywords

Torque Metaphor 

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Copyright information

© Kluwer Academic Publishers 1986

Authors and Affiliations

  • Russell Greiner
    • 1
  1. 1.Knowledge Systems LaboratoryStanford UniversityUSA

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