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dc.contributor.authorSteels, Luces_ES
dc.contributor.authorBelpaeme, Tonyes_ES
dc.date.accessioned2016-01-28T14:14:49Z-
dc.date.available2016-01-28T14:14:49Z-
dc.date.issued2005-
dc.identifier.citationBehavioral and Brain Sciences 28(4): 469-489 (2005)es_ES
dc.identifier.issn0140-525X-
dc.identifier.urihttp://hdl.handle.net/10261/128299-
dc.description.abstractThis article proposes a number of models to examine through which mechanisms a population of autonomous agents could arrive at a repertoire of perceptually grounded categories that is sufficiently shared to allow successful communication. the models are inspired by the main approaches to human categorisation being discussed in the literature: nativism, empiricism, and culturalism. colour is taken as a case study. although we take no stance on which position is to be accepted as final truth with respect to human categorisation and naming, we do point to theoretical constraints that make each position more or less likely and we make clear suggestions on what the best engineering solution would be. specifically, we argue that the collective choice of a shared repertoire must integrate multiple constraints, including constraints coming from communication.es_ES
dc.description.sponsorshipThis research was sponsored by the Sony Computer Science Laboratory in Paris, the Flemish Fund for Scientific Research (FWO Vlaanderen), the OMLL initiative of the European Science Foundation, and the EU-FET ECAgents and Cogniron project.es_ES
dc.language.isoenges_ES
dc.publisherCambridge University Presses_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccesses_ES
dc.subjectAutonomous agentses_ES
dc.subjectColour categorisationes_ES
dc.subjectColour naminges_ES
dc.subjectConnectionismes_ES
dc.subjectCultural evolutiones_ES
dc.subjectGenetic evolutiones_ES
dc.titleCoordinating perceptually grounded categories through language: A case study for coloures_ES
dc.typeartículoes_ES
dc.identifier.doi10.1017/S0140525X05000087-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1017/S0140525X05000087es_ES
dc.identifier.e-issn1469-1825-
dc.contributor.funderSony Computer Science Laboratory in Parises_ES
dc.contributor.funderResearch Foundation - Flanderses_ES
dc.contributor.funderEuropean Science Foundationes_ES
dc.contributor.funderEuropean Commissiones_ES
dc.relation.csicNoes_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000782es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003130es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
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