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Abstract:

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. © 2018 Fernandez Slezak et al.

Registro:

Documento: Artículo
Título:An entropic barriers diffusion theory of decision-making in multiple alternative tasks
Autor:Fernandez Slezak, D.; Sigman, M.; Cecchi, G.A.
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Departamento de Computación, Buenos Aires, Argentina
CONICET-Universidad de Buenos Aires, Instituto de Investigación en Ciencias de la Computación (ICC), Buenos Aires, Argentina
Universidad Torcuato Di Tella, Alte, Buenos Aires, Argentina
Computational Biology Center, T.J. Watson Research Center, IBM, Yorktown Heights, NY, United States
Palabras clave:article; decision making; diffusion; human; human experiment; problem solving; response time; decision making; entropy; physiology; psychological model; reaction time; Decision Making; Entropy; Humans; Models, Psychological; Problem Solving; Reaction Time
Año:2018
Volumen:14
Número:3
DOI: http://dx.doi.org/10.1371/journal.pcbi.1005961
Título revista:PLoS Computational Biology
Título revista abreviado:PLoS Comput. Biol.
ISSN:1553734X
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1553734X_v14_n3_p_FernandezSlezak

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Citas:

---------- APA ----------
Fernandez Slezak, D., Sigman, M. & Cecchi, G.A. (2018) . An entropic barriers diffusion theory of decision-making in multiple alternative tasks. PLoS Computational Biology, 14(3).
http://dx.doi.org/10.1371/journal.pcbi.1005961
---------- CHICAGO ----------
Fernandez Slezak, D., Sigman, M., Cecchi, G.A. "An entropic barriers diffusion theory of decision-making in multiple alternative tasks" . PLoS Computational Biology 14, no. 3 (2018).
http://dx.doi.org/10.1371/journal.pcbi.1005961
---------- MLA ----------
Fernandez Slezak, D., Sigman, M., Cecchi, G.A. "An entropic barriers diffusion theory of decision-making in multiple alternative tasks" . PLoS Computational Biology, vol. 14, no. 3, 2018.
http://dx.doi.org/10.1371/journal.pcbi.1005961
---------- VANCOUVER ----------
Fernandez Slezak, D., Sigman, M., Cecchi, G.A. An entropic barriers diffusion theory of decision-making in multiple alternative tasks. PLoS Comput. Biol. 2018;14(3).
http://dx.doi.org/10.1371/journal.pcbi.1005961