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dc.creatorZenil, Hectores
dc.creatorSoler Toscano, Fernandoes
dc.creatorDelahaye, Jean-Paules
dc.creatorBrugger, Peteres
dc.creatorGauvrit, Nicolases
dc.date.accessioned2017-05-23T18:01:17Z
dc.date.available2017-05-23T18:01:17Z
dc.date.issued2017
dc.identifier.citationZenil, H., Soler Toscano, F., Delahaye, J., Brugger, P. y Gauvrit, N. (2017). Human behavioral complexity peaks at age 25. PLoS Computational Biology, 13 (4), 1-14.
dc.identifier.issn1553-734Xes
dc.identifier.urihttp://hdl.handle.net/11441/60356
dc.description.abstractRandom Item Generation tasks (RIG) are commonly used to assess high cognitive abilities such as inhibition or sustained attention. They also draw upon our approximate sense of complexity. A detrimental effect of aging on pseudo-random productions has been demonstrated for some tasks, but little is as yet known about the developmental curve of cognitive complexity over the lifespan. We investigate the complexity trajectory across the lifespan of human responses to five common RIG tasks, using a large sample (n = 3429). Our main finding is that the developmental curve of the estimated algorithmic complexity of responses is similar to what may be expected of a measure of higher cognitive abilities, with a performance peak around 25 and a decline starting around 60, suggesting that RIG tasks yield good estimates of such cognitive abilities. Our study illustrates that very short strings of, i.e., 10 items, are sufficient to have their complexity reliably estimated and to allow the documentation of an age-dependent decline in the approximate sense of complexity.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherPublic Library of Sciencees
dc.relation.ispartofPLoS Computational Biology, 13 (4), 1-14.
dc.rightsAttribution 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleHuman behavioral complexity peaks at age 25es
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Filosofía y Lógica y Filosofía de la Cienciaes
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pcbi.1005408es
dc.identifier.doi10.1371/journal.pcbi.1005408es
idus.format.extent14 p.es
dc.journaltitlePLoS Computational Biologyes
dc.publication.volumen13es
dc.publication.issue4es
dc.publication.initialPage1es
dc.publication.endPage14es

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