Using analogical mapping to simulate time-course phenomena in perceptual similarity

Andrew Lovett; Dedre Gentner; Kenneth D Forbus; Eyal Sagi

doi:10.1016/j.cogsys.2008.03.006

Using analogical mapping to simulate time-course phenomena in perceptual similarity

Andrew Lovett^*, Dedre Gentner, Kenneth D Forbus, Eyal Sagi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

We present a computational model of visual similarity. The model is based upon the idea that perceptual comparisons may utilize the same mapping processes as are used in analogy. We use the Structure Mapping Engine (SME), a model of Gentner's structure-mapping theory of analogy, to perform comparison on representations that are automatically generated from visual input. By encoding visual scenes incrementally and sampling the output of SME at multiple stages in its processing, we are able to model not only the output of similarity judgments, but the time course of the comparison process. We demonstrate the model's effectiveness by replicating the results from three psychological studies that bear on the time course of comparison.

Original language	English (US)
Pages (from-to)	216-228
Number of pages	13
Journal	Cognitive Systems Research
Volume	10
Issue number	3
DOIs	https://doi.org/10.1016/j.cogsys.2008.03.006
State	Published - Sep 2009

Funding

This work was supported by NSF SLC Grant SBE-0541957, the Spatial Intelligence and Learning Center (SILC).

Keywords

Analogy
Computational modeling
Same-different task
Visual similarity

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.cogsys.2008.03.006

Cite this

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title = "Using analogical mapping to simulate time-course phenomena in perceptual similarity",

abstract = "We present a computational model of visual similarity. The model is based upon the idea that perceptual comparisons may utilize the same mapping processes as are used in analogy. We use the Structure Mapping Engine (SME), a model of Gentner's structure-mapping theory of analogy, to perform comparison on representations that are automatically generated from visual input. By encoding visual scenes incrementally and sampling the output of SME at multiple stages in its processing, we are able to model not only the output of similarity judgments, but the time course of the comparison process. We demonstrate the model's effectiveness by replicating the results from three psychological studies that bear on the time course of comparison.",

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AU - Lovett, Andrew

AU - Gentner, Dedre

AU - Forbus, Kenneth D

AU - Sagi, Eyal

N1 - Funding Information: This work was supported by NSF SLC Grant SBE-0541957, the Spatial Intelligence and Learning Center (SILC).

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N2 - We present a computational model of visual similarity. The model is based upon the idea that perceptual comparisons may utilize the same mapping processes as are used in analogy. We use the Structure Mapping Engine (SME), a model of Gentner's structure-mapping theory of analogy, to perform comparison on representations that are automatically generated from visual input. By encoding visual scenes incrementally and sampling the output of SME at multiple stages in its processing, we are able to model not only the output of similarity judgments, but the time course of the comparison process. We demonstrate the model's effectiveness by replicating the results from three psychological studies that bear on the time course of comparison.

AB - We present a computational model of visual similarity. The model is based upon the idea that perceptual comparisons may utilize the same mapping processes as are used in analogy. We use the Structure Mapping Engine (SME), a model of Gentner's structure-mapping theory of analogy, to perform comparison on representations that are automatically generated from visual input. By encoding visual scenes incrementally and sampling the output of SME at multiple stages in its processing, we are able to model not only the output of similarity judgments, but the time course of the comparison process. We demonstrate the model's effectiveness by replicating the results from three psychological studies that bear on the time course of comparison.

KW - Analogy

KW - Computational modeling

KW - Same-different task

KW - Visual similarity

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Using analogical mapping to simulate time-course phenomena in perceptual similarity

Abstract

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Keywords

ASJC Scopus subject areas

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