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Visual Models in Analogical Problem Solving

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Abstract

Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about electromagnetism.

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Authors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 801 Atlantic Drive, Atlanta, GA, 30332-0280, USA

    Jim Davies, Nancy J. Nersessian & Ashok K. Goel

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  1. Jim Davies
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  2. Nancy J. Nersessian
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  3. Ashok K. Goel
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Davies, J., Nersessian, N.J. & Goel, A.K. Visual Models in Analogical Problem Solving. Found Sci 10, 133–152 (2005). https://doi.org/10.1007/s10699-005-3009-2

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