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量子认知中所使用运算的神经实现。

Neural implementation of operations used in quantum cognition.

作者信息

Busemeyer Jerome R, Fakhari Pegah, Kvam Peter

机构信息

Indiana University, United States.

Indiana University, United States.

出版信息

Prog Biophys Mol Biol. 2017 Nov;130(Pt A):53-60. doi: 10.1016/j.pbiomolbio.2017.04.007. Epub 2017 May 6.

Abstract

Quantum probability theory has been successfully applied outside of physics to account for numerous findings from psychology regarding human judgement and decision making behavior. However, the researchers who have made these applications do not rely on the hypothesis that the brain is some type of quantum computer. This raises the question of how could the brain implement quantum algorithms other than quantum physical operations. This article outlines one way that a neural based system could perform the computations required by applications of quantum probability to human behavior.

摘要

量子概率论已成功应用于物理学之外,用以解释心理学中有关人类判断和决策行为的众多发现。然而,进行这些应用的研究人员并不依赖于大脑是某种量子计算机的假设。这就提出了一个问题:除了量子物理运算之外,大脑如何能够实现量子算法。本文概述了一种基于神经的系统可以执行量子概率应用于人类行为所需计算的方式。

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