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.

Additional Metadata
Keywords Analogy, Cognitive modelling, Problem solving, Scientific discovery, Visual representations
Persistent URL dx.doi.org/10.1007/s10699-005-3009-2
Journal Foundations of Science
Citation
Davies, J, Nersessian, N.J. (Nancy J.), & Goel, A.K. (Ashok K.). (2005). Visual models in analogical problem solving. Foundations of Science, 10(1), 133–152. doi:10.1007/s10699-005-3009-2