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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Bibliographic Details
Main Author: Denise Dellarosa Cummins
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-12-01
Series:Frontiers in Human Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.01014/full