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Humans depart from optimal computational models of interactive decision-making during competition under partial information
Decision making under uncertainty in multiagent settings is of increasing interest in decision science. The degree to which human agents depart from computationally optimal solutions in socially interactive settings is generally unknown. Such understanding provides insight into how social contexts a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741801/ https://www.ncbi.nlm.nih.gov/pubmed/34997138 http://dx.doi.org/10.1038/s41598-021-04272-x |