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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...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |