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Don’t Let Me Do That! – Models of Precommitment

Precommitment, or taking away a future choice from oneself, is a mechanism for overcoming impulsivity. Here we review recent work suggesting that precommitment can be best explained through a distributed decision-making system with multiple discounting rates. This model makes specific predictions ab...

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Detalles Bibliográficos
Autores principales: Kurth-Nelson, Zeb, Redish, A. David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465853/
https://www.ncbi.nlm.nih.gov/pubmed/23060739
http://dx.doi.org/10.3389/fnins.2012.00138
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author Kurth-Nelson, Zeb
Redish, A. David
author_facet Kurth-Nelson, Zeb
Redish, A. David
author_sort Kurth-Nelson, Zeb
collection PubMed
description Precommitment, or taking away a future choice from oneself, is a mechanism for overcoming impulsivity. Here we review recent work suggesting that precommitment can be best explained through a distributed decision-making system with multiple discounting rates. This model makes specific predictions about precommitment behavior and is especially interesting in light of the emerging multiple-systems view of decision-making, in which functional systems with distinct neural substrates use different computational strategies to optimize decisions. Given the growing consensus that impulsivity constitutes a common point of breakdown in decision-making processes, with common neural and computational mechanisms across multiple psychiatric disorders, it is useful to translate precommitment into the common language of temporal difference reinforcement learning that unites many of these behavioral and neural data.
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spelling pubmed-34658532012-10-11 Don’t Let Me Do That! – Models of Precommitment Kurth-Nelson, Zeb Redish, A. David Front Neurosci Neuroscience Precommitment, or taking away a future choice from oneself, is a mechanism for overcoming impulsivity. Here we review recent work suggesting that precommitment can be best explained through a distributed decision-making system with multiple discounting rates. This model makes specific predictions about precommitment behavior and is especially interesting in light of the emerging multiple-systems view of decision-making, in which functional systems with distinct neural substrates use different computational strategies to optimize decisions. Given the growing consensus that impulsivity constitutes a common point of breakdown in decision-making processes, with common neural and computational mechanisms across multiple psychiatric disorders, it is useful to translate precommitment into the common language of temporal difference reinforcement learning that unites many of these behavioral and neural data. Frontiers Media S.A. 2012-10-08 /pmc/articles/PMC3465853/ /pubmed/23060739 http://dx.doi.org/10.3389/fnins.2012.00138 Text en Copyright © 2012 Kurth-Nelson and Redish. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Kurth-Nelson, Zeb
Redish, A. David
Don’t Let Me Do That! – Models of Precommitment
title Don’t Let Me Do That! – Models of Precommitment
title_full Don’t Let Me Do That! – Models of Precommitment
title_fullStr Don’t Let Me Do That! – Models of Precommitment
title_full_unstemmed Don’t Let Me Do That! – Models of Precommitment
title_short Don’t Let Me Do That! – Models of Precommitment
title_sort don’t let me do that! – models of precommitment
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3465853/
https://www.ncbi.nlm.nih.gov/pubmed/23060739
http://dx.doi.org/10.3389/fnins.2012.00138
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