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The implicit possibility of dualism in quantum probabilistic cognitive modeling

Published online by Cambridge University Press:  14 May 2013

Donald Mender
Donald Mender*
Affiliation:
Department of Psychiatry, Yale University, New Haven, CT 06511. [email protected]
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Abstract

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.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 298 - 299
Copyright
Copyright © Cambridge University Press 2013 

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