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...

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Detalles Bibliográficos
Autores principales: Steixner-Kumar, Saurabh, Rusch, Tessa, Doshi, Prashant, Spezio, Michael, Gläscher, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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