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Inferring on the Intentions of Others by Hierarchical Bayesian Learning

Inferring on others' (potentially time-varying) intentions is a fundamental problem during many social transactions. To investigate the underlying mechanisms, we applied computational modeling to behavioral data from an economic game in which 16 pairs of volunteers (randomly assigned to “player...

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主要な著者: Diaconescu, Andreea O., Mathys, Christoph, Weber, Lilian A. E., Daunizeau, Jean, Kasper, Lars, Lomakina, Ekaterina I., Fehr, Ernst, Stephan, Klaas E.
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2014
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オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4154656/
https://ncbi.nlm.nih.gov/pubmed/25187943
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1003810
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