An entropic barriers diffusion theory of decision-making in multiple alternative tasks

Autores
Fernandez Slezak, Diego; Sigman, Mariano; Cecchi, Guillermo Alberto
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We 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.
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados Unidos
Materia
Decision-making
Entropic barriers
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/135905
Acceder
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network_name_str CONICET Digital (CONICET)
spelling An entropic barriers diffusion theory of decision-making in multiple alternative tasksFernandez Slezak, DiegoSigman, MarianoCecchi, Guillermo AlbertoDecision-makingEntropic barriershttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1We 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.Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados UnidosPublic Library of Science2018-03-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/135905Fernandez Slezak, Diego; Sigman, Mariano; Cecchi, Guillermo Alberto; An entropic barriers diffusion theory of decision-making in multiple alternative tasks; Public Library of Science; Plos Computational Biology; 14; 3; 2-3-2018; 1-141553-734X1553-7358CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1005961info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005961info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:04:17Zoai:ri.conicet.gov.ar:11336/135905instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:04:17.388CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv An entropic barriers diffusion theory of decision-making in multiple alternative tasks
title An entropic barriers diffusion theory of decision-making in multiple alternative tasks
spellingShingle An entropic barriers diffusion theory of decision-making in multiple alternative tasks
Fernandez Slezak, Diego
Decision-making
Entropic barriers
title_short An entropic barriers diffusion theory of decision-making in multiple alternative tasks
title_full An entropic barriers diffusion theory of decision-making in multiple alternative tasks
title_fullStr An entropic barriers diffusion theory of decision-making in multiple alternative tasks
title_full_unstemmed An entropic barriers diffusion theory of decision-making in multiple alternative tasks
title_sort An entropic barriers diffusion theory of decision-making in multiple alternative tasks
dc.creator.none.fl_str_mv Fernandez Slezak, Diego
Sigman, Mariano
Cecchi, Guillermo Alberto
author Fernandez Slezak, Diego
author_facet Fernandez Slezak, Diego
Sigman, Mariano
Cecchi, Guillermo Alberto
author_role author
author2 Sigman, Mariano
Cecchi, Guillermo Alberto
author2_role author
author
dc.subject.none.fl_str_mv Decision-making
Entropic barriers
topic Decision-making
Entropic barriers
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We 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.
Fil: Fernandez Slezak, Diego. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cecchi, Guillermo Alberto. IBM Research. Thomas J. Watson Research Center; Estados Unidos
description We 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-03-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/135905
Fernandez Slezak, Diego; Sigman, Mariano; Cecchi, Guillermo Alberto; An entropic barriers diffusion theory of decision-making in multiple alternative tasks; Public Library of Science; Plos Computational Biology; 14; 3; 2-3-2018; 1-14
1553-734X
1553-7358
CONICET Digital
CONICET
url http://hdl.handle.net/11336/135905
identifier_str_mv Fernandez Slezak, Diego; Sigman, Mariano; Cecchi, Guillermo Alberto; An entropic barriers diffusion theory of decision-making in multiple alternative tasks; Public Library of Science; Plos Computational Biology; 14; 3; 2-3-2018; 1-14
1553-734X
1553-7358
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pcbi.1005961
info:eu-repo/semantics/altIdentifier/url/https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005961
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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