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Article: Modeling the emergence of universality in color naming patterns

TitleModeling the emergence of universality in color naming patterns
Authors
KeywordsComplex systems
Computational cognitive science
Multiagent modeling
Natural categorization
Statistical physics
Issue Date2010
PublisherNational Academy of Sciences. The Journal's web site is located at http://www.pnas.org
Citation
Proceedings Of The National Academy Of Sciences Of The United States Of America, 2010, v. 107 n. 6, p. 2403-2407 How to Cite?
AbstractThe empirical evidence that human color categorization exhibits some universal patterns beyond superficial discrepancies across different cultures is a major breakthrough in cognitive science. As observed in the World Color Survey (WCS), indeed, any two groups of individuals develop quite different categorization patterns, but some universal properties can be identified by a statistical analysis over a large number of populations. Here, we reproduce the WCS in a numerical model in which different populations develop independently their own categorization systems by playing elementary language games.We find that a simple perceptual constraint shared by all humans, namely the human Just Noticeable Difference (JND), is sufficient to trigger the emergence of universal patterns that unconstrained cultural interaction fails to produce. We test the results of our experiment against real data by performing the same statistical analysis proposed to quantify the universal tendencies shown in the WCS [Kay P & Regier T. (2003) Proc. Natl. Acad. Sci. USA 100: 9085-9089], and obtain an excellent quantitative agreement. This work confirms that synthetic modeling has nowadays reached the maturity to contribute significantly to the ongoing debate in cognitive science.
Persistent Identifierhttp://hdl.handle.net/10722/167001
ISSN
2015 Impact Factor: 9.423
2015 SCImago Journal Rankings: 6.883
PubMed Central ID
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorBaronchelli, Aen_HK
dc.contributor.authorGong, Ten_HK
dc.contributor.authorPuglisi, Aen_HK
dc.contributor.authorLoreto, Ven_HK
dc.date.accessioned2012-09-28T02:27:44Z-
dc.date.available2012-09-28T02:27:44Z-
dc.date.issued2010en_HK
dc.identifier.citationProceedings Of The National Academy Of Sciences Of The United States Of America, 2010, v. 107 n. 6, p. 2403-2407en_HK
dc.identifier.issn0027-8424en_HK
dc.identifier.urihttp://hdl.handle.net/10722/167001-
dc.description.abstractThe empirical evidence that human color categorization exhibits some universal patterns beyond superficial discrepancies across different cultures is a major breakthrough in cognitive science. As observed in the World Color Survey (WCS), indeed, any two groups of individuals develop quite different categorization patterns, but some universal properties can be identified by a statistical analysis over a large number of populations. Here, we reproduce the WCS in a numerical model in which different populations develop independently their own categorization systems by playing elementary language games.We find that a simple perceptual constraint shared by all humans, namely the human Just Noticeable Difference (JND), is sufficient to trigger the emergence of universal patterns that unconstrained cultural interaction fails to produce. We test the results of our experiment against real data by performing the same statistical analysis proposed to quantify the universal tendencies shown in the WCS [Kay P & Regier T. (2003) Proc. Natl. Acad. Sci. USA 100: 9085-9089], and obtain an excellent quantitative agreement. This work confirms that synthetic modeling has nowadays reached the maturity to contribute significantly to the ongoing debate in cognitive science.en_HK
dc.languageengen_US
dc.publisherNational Academy of Sciences. The Journal's web site is located at http://www.pnas.orgen_HK
dc.relation.ispartofProceedings of the National Academy of Sciences of the United States of Americaen_HK
dc.subjectComplex systemsen_HK
dc.subjectComputational cognitive scienceen_HK
dc.subjectMultiagent modelingen_HK
dc.subjectNatural categorizationen_HK
dc.subjectStatistical physicsen_HK
dc.subject.meshColoren_US
dc.subject.meshColor Perception - Physiologyen_US
dc.subject.meshCross-Cultural Comparisonen_US
dc.subject.meshHumansen_US
dc.subject.meshLanguageen_US
dc.subject.meshModels, Biologicalen_US
dc.titleModeling the emergence of universality in color naming patternsen_HK
dc.typeArticleen_HK
dc.identifier.emailGong, T: tgong@hku.hken_HK
dc.identifier.authorityGong, T=rp01654en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1073/pnas.0908533107en_HK
dc.identifier.pmid20133744-
dc.identifier.pmcidPMC2823871-
dc.identifier.scopuseid_2-s2.0-77349119009en_HK
dc.identifier.hkuros222784-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77349119009&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume107en_HK
dc.identifier.issue6en_HK
dc.identifier.spage2403en_HK
dc.identifier.epage2407en_HK
dc.identifier.isiWOS:000274408100011-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridBaronchelli, A=12345596800en_HK
dc.identifier.scopusauthoridGong, T=35177507200en_HK
dc.identifier.scopusauthoridPuglisi, A=7005062581en_HK
dc.identifier.scopusauthoridLoreto, V=7004031964en_HK
dc.identifier.citeulike6590081-

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