The implicit possibility of dualism in quantum probabilistic cognitive modeling

Donald Mender

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The implicit possibility of dualism in quantum probabilistic cognitive modeling

机译：量子概率认知建模中二元论的隐含可能性

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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.

机译：Pothos＆Busemeyer（P＆B）令人信服地指出，在对认知科学的经验数据进行建模时，量子概率相对于经典的贝叶斯概率提供了改进。然而，与不相容物理可观察物的尺寸限制有关的弱点来自于作者关于认知基础的神经基质中量子过程的“不可知论”。解决此问题将需要未来的研究结果来验证量子神经物理学或将不确定性原理作为新的，神经认知的上下文关联的“局部”对称性进行理论扩展。

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《Behavioral and Brain Sciences》 |2013年第3期|298-299|共2页
作者
Donald Mender;
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Department of Psychiatry, Yale University, New Haven, CT 06511;

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The implicit possibility of dualism in quantum probabilistic cognitive modeling

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