Visual models in analogical problem solving

Foundations of Science 10 (1):133-152 (2005)
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.
Keywords analogy  cognitive modelling  problem solving  scientific discovery  visual representations
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DOI 10.1007/s10699-005-3009-2
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References found in this work BETA
Nancy J. Nersessian (1984). Faraday to Einstein: Constructing Meaning in Scientific Theories. Distributors for the United States and Canada, Kluwer Academic Publishers.
Nancy J. Nersessian (2005). Abstraction Via Generic Modeling in Concept Formation in Science. Poznan Studies in the Philosophy of the Sciences and the Humanities 86 (1):117-144.

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