Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict
How we juggle morally conflicting outcomes during learning remains unknown. Here, by comparing variants of reinforcement learning models, the authors show that participants differ substantially in their preference, with some choosing actions that benefit themselves while others choose actions that p...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2023-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-023-36807-3 |
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author | Laura Fornari Kalliopi Ioumpa Alessandra D. Nostro Nathan J. Evans Lorenzo De Angelis Sebastian P. H. Speer Riccardo Paracampo Selene Gallo Michael Spezio Christian Keysers Valeria Gazzola |
author_facet | Laura Fornari Kalliopi Ioumpa Alessandra D. Nostro Nathan J. Evans Lorenzo De Angelis Sebastian P. H. Speer Riccardo Paracampo Selene Gallo Michael Spezio Christian Keysers Valeria Gazzola |
author_sort | Laura Fornari |
collection | DOAJ |
description | How we juggle morally conflicting outcomes during learning remains unknown. Here, by comparing variants of reinforcement learning models, the authors show that participants differ substantially in their preference, with some choosing actions that benefit themselves while others choose actions that prevent harm. |
first_indexed | 2024-04-09T22:48:43Z |
format | Article |
id | doaj.art-dd0d9cf7f5264670a763c4bb2a8798c6 |
institution | Directory Open Access Journal |
issn | 2041-1723 |
language | English |
last_indexed | 2024-04-09T22:48:43Z |
publishDate | 2023-03-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Nature Communications |
spelling | doaj.art-dd0d9cf7f5264670a763c4bb2a8798c62023-03-22T11:43:42ZengNature PortfolioNature Communications2041-17232023-03-0114111810.1038/s41467-023-36807-3Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflictLaura Fornari0Kalliopi Ioumpa1Alessandra D. Nostro2Nathan J. Evans3Lorenzo De Angelis4Sebastian P. H. Speer5Riccardo Paracampo6Selene Gallo7Michael Spezio8Christian Keysers9Valeria Gazzola10Netherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWSchool of Psychology, University of QueenslandNetherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWPsychology, Neuroscience, & Data Science, Scripps CollegeNetherlands Institute for Neuroscience, KNAWNetherlands Institute for Neuroscience, KNAWHow we juggle morally conflicting outcomes during learning remains unknown. Here, by comparing variants of reinforcement learning models, the authors show that participants differ substantially in their preference, with some choosing actions that benefit themselves while others choose actions that prevent harm.https://doi.org/10.1038/s41467-023-36807-3 |
spellingShingle | Laura Fornari Kalliopi Ioumpa Alessandra D. Nostro Nathan J. Evans Lorenzo De Angelis Sebastian P. H. Speer Riccardo Paracampo Selene Gallo Michael Spezio Christian Keysers Valeria Gazzola Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict Nature Communications |
title | Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict |
title_full | Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict |
title_fullStr | Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict |
title_full_unstemmed | Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict |
title_short | Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict |
title_sort | neuro computational mechanisms and individual biases in action outcome learning under moral conflict |
url | https://doi.org/10.1038/s41467-023-36807-3 |
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