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dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_AR
dc.contributor.authorFernandez Slezak, Diegoes_AR
dc.contributor.authorSigman, Marianoes_AR
dc.contributor.authorCecchi, Guillermo A.es_AR
dc.date.accessioned2018-07-20T13:53:41Z
dc.date.available2018-07-20T13:53:41Z
dc.date.issued2018-03-02
dc.identifier.urihttps://doi.org/ 10.1371/journal.pcbi.1005961es_AR
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dc.identifier.urihttps://repositorio.utdt.edu/handle/20.500.13098/11056
dc.description.abstractWe present a theory of decision-making in the presence of multiple choices that departs from traditional approaches by explicitly incorporating entropic barriers in a stochastic search process. We analyze response time data from an on-line repository of 15 million blitz chess games, and show that our model fits not just the mean and variance, but the entire response time distribution (over several response-time orders of magnitude) at every stage of the game. We apply the model to show that (a) higher cognitive expertise corresponds to the exploration of more complex solution spaces, and (b) reaction times of users at an on-line buying website can be similarly explained. Our model can be seen as a synergy between diffusion models used to model simple two-choice decision-making and planning agents in complex problem solving.es_AR
dc.format.extent14 p.es_AR
dc.format.mediumapplication/pdfes_AR
dc.languageenges_AR
dc.relation.ispartofPLoS Comput Biol 14(3): e1005961.es_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.subjectTeoría de la decisiónes_AR
dc.subjectTeoría de los juegoses_AR
dc.subjectToma de decisioneses_AR
dc.subjectProceso aleatorioes_AR
dc.titleAn entropic barriers diffusion theory of decision-making in multiple alternative taskses_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_AR
dc.description.filiationFil: Fernandez Slezak, Diego. Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación. CONICET-Universidad de Buenos Aires, Instituto de Investigación en Ciencias de la Computación (ICC), Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Sigman, Mariano. Universidad Torcuato Di Tella, Escuela de Negocios, Laboratorio de Neurociencia, Buenos Aires, Argentinaes_AR
dc.description.filiationFil: Cecchi, Guillermo A. Computational Biology Center, T.J. Watson Research Center, IBM, Yorktown Heights, NY, USAes_AR


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