The implicit possibility of dualism in quantum probabilistic cognitive modeling

Pothos & Busemeyer (P&B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows fro...

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Bibliographic Details
Published in:The Behavioral and brain sciences 2013-06, Vol.36 (3), p.298-299
Main Author: Mender, Donald
Format: Article
Language:English
Subjects:
Bayesian analysis
Brain
Cognition
Cognition & reasoning
Cognitive ability
Humans
Models, Psychological
Open Peer Commentary
Physics
Probability Theory
Quantum field theory
Quantum Theory
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Summary:Pothos & Busemeyer (P&B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.
ISSN:0140-525X
1469-1825
DOI:10.1017/S0140525X12003044