Literature DB >> 36206310

Disentangling choice value and choice conflict in sequential decisions under risk.

Laura Fontanesi1, Amitai Shenhav2, Sebastian Gluth3.   

Abstract

Recent years have witnessed a surge of interest in understanding the neural and cognitive dynamics that drive sequential decision making in general and foraging behavior in particular. Due to the intrinsic properties of most sequential decision-making paradigms, however, previous research in this area has suffered from the difficulty to disentangle properties of the decision related to (a) the value of switching to a new patch versus, which increases monotonically, and (b) the conflict experienced between choosing to stay or leave, which first increases but then decreases after reaching the point of indifference between staying and switching. Here, we show how the same problems arise in studies of sequential decision-making under risk, and how they can be overcome, taking as a specific example recent research on the 'pig' dice game. In each round of the 'pig' dice game, people roll a die and accumulate rewards until they either decide to proceed to the next round or lose all rewards. By combining simulation-based dissections of the task structure with two experiments, we show how an extension of the standard paradigm, together with cognitive modeling of decision-making processes, allows to disentangle properties related to either switch value or choice conflict. Our study elucidates the cognitive mechanisms of sequential decision making and underscores the importance of avoiding potential pitfalls of paradigms that are commonly used in this research area.

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Mesh:

Year:  2022        PMID: 36206310      PMCID: PMC9581387          DOI: 10.1371/journal.pcbi.1010478

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.779


  28 in total

1.  Decision making and learning while taking sequential risks.

Authors:  Timothy J Pleskac
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-01       Impact factor: 3.051

2.  Affective and deliberative processes in risky choice: age differences in risk taking in the Columbia Card Task.

Authors:  Bernd Figner; Rachael J Mackinlay; Friedrich Wilkening; Elke U Weber
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2009-05       Impact factor: 3.051

Review 3.  The neural systems that mediate human perceptual decision making.

Authors:  Hauke R Heekeren; Sean Marrett; Leslie G Ungerleider
Journal:  Nat Rev Neurosci       Date:  2008-05-09       Impact factor: 34.870

4.  Dorsal anterior cingulate cortex and the value of control.

Authors:  Amitai Shenhav; Jonathan D Cohen; Matthew M Botvinick
Journal:  Nat Neurosci       Date:  2016-09-27       Impact factor: 24.884

5.  Tuning the Brake While Raising the Stake: Network Dynamics during Sequential Decision-Making.

Authors:  David Meder; Brian Numelin Haagensen; Oliver Hulme; Tobias Morville; Sofie Gelskov; Damian Marc Herz; Beata Diomsina; Mark Schram Christensen; Kristoffer Hougaard Madsen; Hartwig Roman Siebner
Journal:  J Neurosci       Date:  2016-05-11       Impact factor: 6.167

6.  SSL: a theory of how people learn to select strategies.

Authors:  Jörg Rieskamp; Philipp E Otto
Journal:  J Exp Psychol Gen       Date:  2006-05

7.  Deciding when to decide: time-variant sequential sampling models explain the emergence of value-based decisions in the human brain.

Authors:  Sebastian Gluth; Jörg Rieskamp; Christian Büchel
Journal:  J Neurosci       Date:  2012-08-01       Impact factor: 6.167

8.  Neural mechanisms of foraging.

Authors:  Nils Kolling; Timothy E J Behrens; Rogier B Mars; Matthew F S Rushworth
Journal:  Science       Date:  2012-04-06       Impact factor: 47.728

9.  Decreasing ventromedial prefrontal cortex activity during sequential risk-taking: an FMRI investigation of the balloon analog risk task.

Authors:  Tom Schonberg; Craig R Fox; Jeanette A Mumford; Eliza Congdon; Christopher Trepel; Russell A Poldrack
Journal:  Front Neurosci       Date:  2012-06-04       Impact factor: 4.677

10.  When Does Model-Based Control Pay Off?

Authors:  Wouter Kool; Fiery A Cushman; Samuel J Gershman
Journal:  PLoS Comput Biol       Date:  2016-08-26       Impact factor: 4.779

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