Neuro-computational mechanisms and individual biases in action-outcome learning under moral conflict

Learning to predict action outcomes in morally conflicting situations is essential for social decision-making but poorly understood. Here we tested which forms of Reinforcement Learning Theory capture how participants learn to choose between self-money and other-shocks, and how they adapt to changes...

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Detalles Bibliográficos
Autores principales: Fornari, Laura, Ioumpa, Kalliopi, Nostro, Alessandra D., Evans, Nathan J., De Angelis, Lorenzo, Speer, Sebastian P. H., Paracampo, Riccardo, Gallo, Selene, Spezio, Michael, Keysers, Christian, Gazzola, Valeria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988878/
https://www.ncbi.nlm.nih.gov/pubmed/36878911
http://dx.doi.org/10.1038/s41467-023-36807-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988878/
https://www.ncbi.nlm.nih.gov/pubmed/36878911
http://dx.doi.org/10.1038/s41467-023-36807-3

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