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Neural correlates of causal power judgments

Causal inference is a fundamental component of cognition and perception. Probabilistic theories of causal judgment (most notably causal Bayes networks) derive causal judgments using metrics that integrate contingency information. But human estimates typically diverge from these normative predictions...

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Detalles Bibliográficos
Autor principal: Cummins, Denise Dellarosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4273607/
https://www.ncbi.nlm.nih.gov/pubmed/25566033
http://dx.doi.org/10.3389/fnhum.2014.01014