Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences

Humans often make sub-optimal decisions, choosing options that are less advantageous than available alternatives. Using computational modeling of behavior, the authors demonstrate that such irrational choices can arise from context dependence in reinforcement learning.

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Autores principales:	Sophie Bavard, Maël Lebreton, Mehdi Khamassi, Giorgio Coricelli, Stefano Palminteri
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/d1a4ee1430ec481ebfa1251807578be1
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spelling	oai:doaj.org-article:d1a4ee1430ec481ebfa1251807578be12021-12-02T16:49:52ZReference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences10.1038/s41467-018-06781-22041-1723https://doaj.org/article/d1a4ee1430ec481ebfa1251807578be12018-10-01T00:00:00Zhttps://doi.org/10.1038/s41467-018-06781-2https://doaj.org/toc/2041-1723Humans often make sub-optimal decisions, choosing options that are less advantageous than available alternatives. Using computational modeling of behavior, the authors demonstrate that such irrational choices can arise from context dependence in reinforcement learning.Sophie BavardMaël LebretonMehdi KhamassiGiorgio CoricelliStefano PalminteriNature PortfolioarticleScienceQENNature Communications, Vol 9, Iss 1, Pp 1-12 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sophie Bavard Maël Lebreton Mehdi Khamassi Giorgio Coricelli Stefano Palminteri Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
description	Humans often make sub-optimal decisions, choosing options that are less advantageous than available alternatives. Using computational modeling of behavior, the authors demonstrate that such irrational choices can arise from context dependence in reinforcement learning.
format	article
author	Sophie Bavard Maël Lebreton Mehdi Khamassi Giorgio Coricelli Stefano Palminteri
author_facet	Sophie Bavard Maël Lebreton Mehdi Khamassi Giorgio Coricelli Stefano Palminteri
author_sort	Sophie Bavard
title	Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
title_short	Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
title_full	Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
title_fullStr	Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
title_full_unstemmed	Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
title_sort	reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/d1a4ee1430ec481ebfa1251807578be1
work_keys_str_mv	AT sophiebavard referencepointcenteringandrangeadaptationenhancehumanreinforcementlearningatthecostofirrationalpreferences AT maellebreton referencepointcenteringandrangeadaptationenhancehumanreinforcementlearningatthecostofirrationalpreferences AT mehdikhamassi referencepointcenteringandrangeadaptationenhancehumanreinforcementlearningatthecostofirrationalpreferences AT giorgiocoricelli referencepointcenteringandrangeadaptationenhancehumanreinforcementlearningatthecostofirrationalpreferences AT stefanopalminteri referencepointcenteringandrangeadaptationenhancehumanreinforcementlearningatthecostofirrationalpreferences
_version_	1718383186170347520

Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences

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