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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...
Autores principales: | Boos, Moritz, Seer, Caroline, Lange, Florian, Kopp, Bruno |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
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 |
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