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Davies, J., & Goel, A. K. (2001). Visual analogy in problem solving. Proceedings of the International Joint Conference on Artificial Intelligence 2001. pp 377-382. Morgan Kaufmann publishers.

Cite this for: Publisher: Morgan Kaufmann publishers

BibTex Entry:

  author =	 {Jim Davies and Ashok K. Goel},
  title =	  {Visual analogy in problem solving},
  booktitle =	   {Proceedings of the International Joint Conference
  for Artificial Intelligence 2001},
  OPTpages =	  {377--382},
  year =    {2001},
  OPTeditor =	 {Bernhard Nebel},
  OPTaddress =	  {Seattle, WA},
  OPTmonth =	   {August},
  OPTpublisher = {Morgan Kaufmann Publishers},
  OPTnote =     {First published Galatea paper}

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From the Visual Analogy research theme.


Computational models of analogical problem solving have traditionally described source and target domains in terms of their causal structure. But psychological research shows that visual reasoning plays a part for many kinds of analogies. This paper describes a model that transfers a solution from a source analog to a new target problem using only visual knowledge represented symbolically. The knowledge representation is based on a language of primitive visual elements and transformations. We found that visual knowledge is sufficient for transfer, but that causal knowledge is needed to determine if the transferred solution is appropriate.

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JimDavies ( jim@jimdavies.org )