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Davies, J., Nersessian, N. J., & Goel, A. K. (2005). Visual models in analogical problem solving. Foundations of Science, special issue on Model-Based Reasoning: Visual, Analogical, Simulative. Magnani, L. & Nersessian, N. J., Eds. 10(1). 133--152.
Cite this for:
- computational evidence that visuospatial representations are useful in science. It models Maxwell's creation of his electromagnetic model.
Publisher: Springer
BibTex Entry:
@Article{DaviesNersessianGoel2005,
author = {Davies, Jim and Nersessian, Nancy J. and Goel, Ashok K.},
title = {Visual models in analogical problem solving},
journal = {Foundations of Science, special issue on Model-Based Reasoning: Visual, Analogical, Simulative},
year = {2005},
key = {},
volume = {10},
number = {1},
pages = {133--152},
month = {},
note = {},
annote = {}
}
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From the
Visual Analogy research theme.
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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JimDavies
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jim@jimdavies.org
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