A Theory of Rerepresentation in Analogical Matching

Abstract

Psychologically, rerepresentation appears to be an important technique for achieving flexibility in analogical matching. This paper presents a concise theory of rerepresentation in analogical matching. It divides the problem into detecting opportunities for rerepresentation, generating rerepresentation suggestions based on libraries of general methods, and strategies for controlling the rerepresentation process. We show that the kinds of opportunities can be exhaustively derived from the principles of structure mapping, and the methods for detecting them derived from consideration of how the SME algorithm works. Four families of rerepresentation methods are proposed, as well as task-independent and task-dependent constraints on strategies. Implemented simulation examples are used for illustration.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2003
Accession Number
ADA466013

Entities

People

  • Dedre Gentner
  • Jin Yan
  • Ken Forbus

Organizations

  • Northwestern University

Tags

Communities of Interest

  • Counter WMD
  • Space

DTIC Thesaurus Topics

  • Analogies
  • Artificial Intelligence
  • Artificial Satellites
  • Case Studies
  • Closed Loop Systems
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Science
  • Computer Simulations
  • Detection
  • Flow
  • Hypotheses
  • Language
  • Psychology
  • Reasoning
  • Simulations

Readers

  • Artificial Intelligence
  • Theoretical Analysis.