Probabilistic Inference: Task Dependency and Individual Differences of Probability Weighting Revealed by Hierarchical Bayesian Modeling

Cognitive determinants of probabilistic inference were examined using hierarchical Bayesian modeling techniques. A classic urn-ball paradigm served as experimental strategy, involving a factorial two (prior probabilities) by two (likelihoods) design. Five computational models of cognitive processes...

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Detalles Bibliográficos
Autores principales: Boos, Moritz, Seer, Caroline, Lange, Florian, Kopp, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882416/
https://www.ncbi.nlm.nih.gov/pubmed/27303323
http://dx.doi.org/10.3389/fpsyg.2016.00755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4882416/
https://www.ncbi.nlm.nih.gov/pubmed/27303323
http://dx.doi.org/10.3389/fpsyg.2016.00755

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