Literature DB >> 30838528

Automatic biases in intertemporal choice.

Wenjia Joyce Zhao1, Adele Diederich2, Jennifer S Trueblood3, Sudeep Bhatia4.   

Abstract

Dual process theories of intertemporal decision making propose that decision makers automatically favor immediate rewards. In this paper, we use a drift diffusion model to implement these theories, and empirically investigate the role of their proposed automatic biases. Our model permits automatic biases in the response process, in the form of a shifted starting point, as well as automatic biases in the evaluation process, in the form of an additive drift rate intercept. We fit our model to individual-level choice and response time data, and find that automatic biases (as measured though the starting point and drift rate intercept in our model) are prevalent in intertemporal choice, but that the type, magnitude, and direction of these biases vary greatly across individuals. Our results pose new challenges for theories of intertemporal choice behavior.

Keywords:  Automatic bias; Computational modelling; Drift diffusion model; Dual process theories; Intertemporal choice

Mesh:

Year:  2019        PMID: 30838528     DOI: 10.3758/s13423-019-01579-9

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  21 in total

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Authors:  J D Greene; R B Sommerville; L E Nystrom; J M Darley; J D Cohen
Journal:  Science       Date:  2001-09-14       Impact factor: 47.728

2.  Making trade-offs: a probabilistic and context-sensitive model of choice behavior.

Authors:  Claudia González-Vallejo
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3.  A comparison of sequential sampling models for two-choice reaction time.

Authors:  Roger Ratcliff; Philip L Smith
Journal:  Psychol Rev       Date:  2004-04       Impact factor: 8.934

4.  Lateral prefrontal cortex and self-control in intertemporal choice.

Authors:  Bernd Figner; Daria Knoch; Eric J Johnson; Amy R Krosch; Sarah H Lisanby; Ernst Fehr; Elke U Weber
Journal:  Nat Neurosci       Date:  2010-03-28       Impact factor: 24.884

5.  Taxing executive processes does not necessarily increase impulsive decision making.

Authors:  Ana M Franco-Watkins; Timothy C Rickard; Hal Pashler
Journal:  Exp Psychol       Date:  2010

6.  Separate neural systems value immediate and delayed monetary rewards.

Authors:  Samuel M McClure; David I Laibson; George Loewenstein; Jonathan D Cohen
Journal:  Science       Date:  2004-10-15       Impact factor: 47.728

Review 7.  The diffusion decision model: theory and data for two-choice decision tasks.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  Neural Comput       Date:  2008-04       Impact factor: 2.026

8.  Self-control in decision-making involves modulation of the vmPFC valuation system.

Authors:  Todd A Hare; Colin F Camerer; Antonio Rangel
Journal:  Science       Date:  2009-05-01       Impact factor: 47.728

9.  Cognitive skills affect economic preferences, strategic behavior, and job attachment.

Authors:  Stephen V Burks; Jeffrey P Carpenter; Lorenz Goette; Aldo Rustichini
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-24       Impact factor: 11.205

10.  Individual differences in delay discounting: relation to intelligence, working memory, and anterior prefrontal cortex.

Authors:  Noah A Shamosh; Colin G Deyoung; Adam E Green; Deidre L Reis; Matthew R Johnson; Andrew R A Conway; Randall W Engle; Todd S Braver; Jeremy R Gray
Journal:  Psychol Sci       Date:  2008-09
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  2 in total

Review 1.  Deliberating trade-offs with the future.

Authors:  Adam Bulley; Daniel L Schacter
Journal:  Nat Hum Behav       Date:  2020-03-17

2.  From high- to one-dimensional dynamics of decision making: testing simplifications in attractor models.

Authors:  Martin Schoemann; Stefan Scherbaum
Journal:  Cogn Process       Date:  2020-02-03
  2 in total

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