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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...
Autor principal: | Cummins, Denise Dellarosa |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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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 |
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