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Does optimal partitioning of color space account for universal color categorization?

A 2007 study by Regier, Kay, and Khetarpal purports to show that universal categories emerge as a result of optimal partitioning of color space. Regier, Kay, and Khetarpal only consider color categorizations of up to six categories. However, in most industrialized societies eleven color categories a...

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Detalles Bibliográficos
Autores principales: Jraissati, Yasmina, Douven, Igor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453481/
https://www.ncbi.nlm.nih.gov/pubmed/28570598
http://dx.doi.org/10.1371/journal.pone.0178083
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author Jraissati, Yasmina
Douven, Igor
author_facet Jraissati, Yasmina
Douven, Igor
author_sort Jraissati, Yasmina
collection PubMed
description A 2007 study by Regier, Kay, and Khetarpal purports to show that universal categories emerge as a result of optimal partitioning of color space. Regier, Kay, and Khetarpal only consider color categorizations of up to six categories. However, in most industrialized societies eleven color categories are observed. This paper shows that when applied to the case of eleven categories, Regier, Kay, and Khetarpal’s optimality criterion yields unsatisfactory results. Applications of the criterion to the intermediate cases of seven, eight, nine, and ten color categories are also briefly considered and are shown to yield mixed results. We consider a number of possible explanations of the failure of the criterion in the case of eleven categories, and suggest that, as color categorizations get more complex, further criteria come to play a role, alongside Regier, Kay, and Khetarpal’s optimality criterion.
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spelling pubmed-54534812017-06-12 Does optimal partitioning of color space account for universal color categorization? Jraissati, Yasmina Douven, Igor PLoS One Research Article A 2007 study by Regier, Kay, and Khetarpal purports to show that universal categories emerge as a result of optimal partitioning of color space. Regier, Kay, and Khetarpal only consider color categorizations of up to six categories. However, in most industrialized societies eleven color categories are observed. This paper shows that when applied to the case of eleven categories, Regier, Kay, and Khetarpal’s optimality criterion yields unsatisfactory results. Applications of the criterion to the intermediate cases of seven, eight, nine, and ten color categories are also briefly considered and are shown to yield mixed results. We consider a number of possible explanations of the failure of the criterion in the case of eleven categories, and suggest that, as color categorizations get more complex, further criteria come to play a role, alongside Regier, Kay, and Khetarpal’s optimality criterion. Public Library of Science 2017-06-01 /pmc/articles/PMC5453481/ /pubmed/28570598 http://dx.doi.org/10.1371/journal.pone.0178083 Text en © 2017 Jraissati, Douven http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jraissati, Yasmina
Douven, Igor
Does optimal partitioning of color space account for universal color categorization?
title Does optimal partitioning of color space account for universal color categorization?
title_full Does optimal partitioning of color space account for universal color categorization?
title_fullStr Does optimal partitioning of color space account for universal color categorization?
title_full_unstemmed Does optimal partitioning of color space account for universal color categorization?
title_short Does optimal partitioning of color space account for universal color categorization?
title_sort does optimal partitioning of color space account for universal color categorization?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5453481/
https://www.ncbi.nlm.nih.gov/pubmed/28570598
http://dx.doi.org/10.1371/journal.pone.0178083
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