Literature DB >> 24898202

Sequential sampling and paradoxes of risky choice.

Sudeep Bhatia1.   

Abstract

The common-ratio, common-consequence, reflection, and event-splitting effects are some of the best-known findings in decision-making research. They represent robust violations of expected utility theory, and together form a benchmark against which descriptive theories of risky choice are tested. These effects are not currently predicted by sequential sampling models of risky choice, such as decision field theory (Busemeyer & Townsend 1993). This paper, however, shows that a minor extension to decision field theory, which allows for stochastic error in event sampling, can provide a parsimonious, cognitively plausible explanation for these effects. Moreover, these effects are guaranteed to emerge for a large range of parameter values, including best-fit parameters obtained from preexisting choice data.

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Year:  2014        PMID: 24898202     DOI: 10.3758/s13423-014-0650-1

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


  27 in total

1.  Loss aversion and inhibition in dynamical models of multialternative choice.

Authors:  Marius Usher; James L McClelland
Journal:  Psychol Rev       Date:  2004-07       Impact factor: 8.934

2.  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

3.  Two-stage dynamic signal detection: a theory of choice, decision time, and confidence.

Authors:  Timothy J Pleskac; Jerome R Busemeyer
Journal:  Psychol Rev       Date:  2010-07       Impact factor: 8.934

4.  An EZ-diffusion model for response time and accuracy.

Authors:  Eric-Jan Wagenmakers; Han L J van der Maas; Raoul P P P Grasman
Journal:  Psychon Bull Rev       Date:  2007-02

Review 5.  The neural basis of decision making.

Authors:  Joshua I Gold; Michael N Shadlen
Journal:  Annu Rev Neurosci       Date:  2007       Impact factor: 12.449

6.  The probabilistic nature of preferential choice.

Authors:  Jörg Rieskamp
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-11       Impact factor: 3.051

Review 7.  A dual system model of preferences under risk.

Authors:  Kanchan Mukherjee
Journal:  Psychol Rev       Date:  2010-01       Impact factor: 8.934

Review 8.  New paradoxes of risky decision making.

Authors:  Michael H Birnbaum
Journal:  Psychol Rev       Date:  2008-04       Impact factor: 8.934

9.  Salience driven value integration explains decision biases and preference reversal.

Authors:  Konstantinos Tsetsos; Nick Chater; Marius Usher
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-25       Impact factor: 11.205

10.  Cognitive models of risky choice: parameter stability and predictive accuracy of prospect theory.

Authors:  Andreas Glöckner; Thorsten Pachur
Journal:  Cognition       Date:  2012-01-09
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  4 in total

Review 1.  A framework for building cognitive process models.

Authors:  Jana B Jarecki; Jolene H Tan; Mirjam A Jenny
Journal:  Psychon Bull Rev       Date:  2020-12

2.  Toward an attentional turn in research on risky choice.

Authors:  Veronika Zilker; Thorsten Pachur
Journal:  Front Psychol       Date:  2022-09-06

3.  Noisy preferences in risky choice: A cautionary note.

Authors:  Sudeep Bhatia; Graham Loomes
Journal:  Psychol Rev       Date:  2017-06-01       Impact factor: 8.934

4.  Choice Rules and Accumulator Networks.

Authors:  Sudeep Bhatia
Journal:  Decision (Wash D C )       Date:  2015-07-27
  4 in total

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