David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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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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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.
Keith J. Holyoak & P. Thagard (1997). The Analogical Mind. American Psychologist 52:35-44.
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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