dc.creatorRibeiro, S
dc.creatorLoula, A
dc.creatorde Araujo, I
dc.creatorGudwin, R
dc.creatorQueiroz, J
dc.date2007
dc.dateJUL-AUG
dc.date2014-11-19T14:53:44Z
dc.date2015-11-26T17:06:52Z
dc.date2014-11-19T14:53:44Z
dc.date2015-11-26T17:06:52Z
dc.date.accessioned2018-03-28T23:55:22Z
dc.date.available2018-03-28T23:55:22Z
dc.identifierBiosystems. Elsevier Sci Ltd, v. 90, n. 1, n. 263, n. 272, 2007.
dc.identifier0303-2647
dc.identifierWOS:000248966800024
dc.identifier10.1016/j.biosystems.2006.09.030
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/73974
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/73974
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/73974
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1279975
dc.descriptionModern semiotics is a branch of logics that formally defines symbol-based communication. In recent years, the semiotic classification of signs has been invoked to support the notion that symbols are uniquely human. Here we show that alarm-calls such as those used by African vervet monkeys (Cercopithecus aethiops), logically satisfy the semiotic definition of symbol. We also show that the acquisition of vocal symbols in vervet monkeys can be successfully simulated by a computer program based on minimal serniotic and neurobiological constraints. The simulations indicate that learning depends on the tutor-predator ratio, and that apprentice-generated auditory mistakes in vocal symbol interpretation have little effect on the learning rates of apprentices (up to 80% of mistakes are tolerated). In contrast,just 10% of apprentice-generated visual mistakes in predator identification will prevent any vocal symbol to be correctly associated with a predator call in a stable manner. Tutor unreliability was also deleterious to vocal symbol learning: a mere 5% of '' lying '' tutors were able to completely disrupt symbol learning, invariably leading to the acquisition of incorrect associations by apprentices. Our investigation corroborates the existence of vocal symbols in a non-human species, and indicates that symbolic competence emerges spontaneously from classical associative learning mechanisms when the conditioned stimuli are self-generated, arbitrary and socially efficacious. We propose that more exclusive properties of human language, such as syntax, may derive from the evolution of higher-order domains for neural association, more removed from both the sensory input and the motor output, able to support the gradual complexification of grammatical categories into syntax. (c) 2006 Elsevier Ireland Ltd. All rights reserved.
dc.description90
dc.description1
dc.description263
dc.description272
dc.languageen
dc.publisherElsevier Sci Ltd
dc.publisherOxford
dc.publisherInglaterra
dc.relationBiosystems
dc.relationBiosystems
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectsymbols
dc.subjectsemiotic and neurobiological constraints
dc.subjectcomputer simulation of symbol learning
dc.subjectVervet Monkeys
dc.subjectLanguage
dc.subjectChimpanzees
dc.subjectCommunication
dc.subjectClassification
dc.subjectResponses
dc.subjectBehavior
dc.subjectDolphin
dc.titleSymbols are not uniquely human
dc.typeArtículos de revistas


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