Journal article
A. Lovett, Eyal Sagi, D. Gentner, Kenneth D. Forbus
2009
2009
Semantic Scholar
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Cite
APA
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Lovett, A., Sagi, E., Gentner, D., & Forbus, K. D. (2009). Modeling perceptual similarity as analogy resolves the paradox of difference detection.
Chicago/Turabian
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Lovett, A., Eyal Sagi, D. Gentner, and Kenneth D. Forbus. “Modeling Perceptual Similarity as Analogy Resolves the Paradox of Difference Detection” (2009).
MLA
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Lovett, A., et al. Modeling Perceptual Similarity as Analogy Resolves the Paradox of Difference Detection. 2009.
BibTeX Click to copy
@article{a2009a,
title = {Modeling perceptual similarity as analogy resolves the paradox of difference detection},
year = {2009},
author = {Lovett, A. and Sagi, Eyal and Gentner, D. and Forbus, Kenneth D.}
}
Abstract
There is a paradoxical dissociation between recognizing that two stimuli are different and recognizing how they are different. We show that this dissociation can be captured by modeling perceptual similarity as a species of analogical processes. Using SME to model comparison, we show that the dissociation arises naturally from different stages in the analogical mapping process. Rather than relying on hand-coded input representations, our model uses an automatic, incremental encoding process to generate representations from the same stimuli as given to human participants.