title: The implicit possibility of dualism in quantum probabilistic cognitive modeling.
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.
authors.affiliation: Department of Psychiatry, Yale University, New Haven, CT 06511, USA. donald.mender@yale.edu
authors.forename: Donald
authors.initials: D
authors.lastname: Mender
mesh_terms: D003071:Cognition; D006801:Humans; D008960:Models, Psychological; D011338:Probability Theory; D011789:Quantum Theory