Re-representation in a Logic-Based Model for Analogy Making

  • Authors:
  • Ulf Krumnack;Helmar Gust;Kai-Uwe Kühnberger;Angela Schwering

  • Affiliations:
  • Institute of Cognitive Science, Osnabrück,;Institute of Cognitive Science, Osnabrück,;Institute of Cognitive Science, Osnabrück,;Institute of Cognitive Science, Osnabrück,

  • Venue:
  • AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

Analogical reasoning plays an important role for cognitively demanding tasks. A major challenge in computing analogies concerns the problem of adapting the representation of the domains in a way that the analogous structures become obvious, i.e. finding and, in certain circumstances, generating appropriate representations that allow for computing an analogical relation. We propose to resolve this re-representation problem of analogy making in a logical framework based on the anti-unification of logical theories. The approach is exemplified using examples from qualitative reasoning (naive physics) and mathematics.