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Cold and hot cognition: Quantum probability theory and realistic psychological modeling

Published online by Cambridge University Press:  14 May 2013

Philip J. Corr
Philip J. Corr*
Affiliation:
School of Psychology, University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, United Kingdom. [email protected]://www.ueapsychology.net/
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Abstract

Typically, human decision making is emotionally “hot” and does not conform to “cold” classical probability (CP) theory. As quantum probability (QP) theory emphasises order, context, superimposition states, and nonlinear dynamic effects, one of its major strengths may be its power to unify formal modeling and realistic psychological theory (e.g., information uncertainty, anxiety, and indecision, as seen in the Prisoner's Dilemma).

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 282 - 283
Copyright
Copyright © Cambridge University Press 2013 

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References

Corr, P. J. (2011) Anxiety: Splitting the phenomenological atom. Personality and Individual Differences 50:889–97.CrossRefGoogle Scholar
Hirsh, J. B., Mar, R. A. & Peterson, J. B. (2012) Psychological entropy: A framework for understanding uncertainty-related anxiety. Psychological Review 119:314–20.CrossRefGoogle ScholarPubMed
McNaughton, N. & Corr, P. J. (2004) A two-dimensional neuropsychology of defense: Fear/anxiety and defensive distance. Neuroscience and Biobehavioral Reviews 28:285–305.Google Scholar