Busemeyer Jerome, Wang Zheng
Psychological and Brain Sciences/Indiana University, Bloomington, Indiana, United States of America.
School of Communication, Transitional Data Analytics Institute /The Ohio State University, Columbus, Ohio, United States of America.
PLoS One. 2017 Nov 8;12(11):e0187733. doi: 10.1371/journal.pone.0187733. eCollection 2017.
This article presents the results of an experiment, called the ABA experiment, designed to test a fundamental prediction of quantum probability theory when applied to human judgments and decisions. The prediction concerns the effect of one measurement on another when the measurements are incompatible (i.e., the answers to the measurements depend on the order of these measurements). After an initial measurement of an opinion on an issue, A, the answer to a second measurement on the same issue A immediately afterwards will certainly be the same as the first. However, according to the uncertainty principle, if a measurement of opinion on issue A is followed by an incompatible measurement on another issue, B, then the answer to a second measurement on issue A will become uncertain. This prediction was tested with 325 participants on a wide range of 12 different set of issues that were previously shown to be incompatible. Contrary to previous claims published in this journal, the empirical findings support the prediction of quantum probability theory applied to human judgments.
本文介绍了一项名为ABA实验的实验结果,该实验旨在测试量子概率论应用于人类判断和决策时的一个基本预测。该预测涉及当测量不相容时(即测量的答案取决于这些测量的顺序),一次测量对另一次测量的影响。在对一个问题A的意见进行初始测量之后,紧接着对同一问题A进行的第二次测量的答案肯定与第一次相同。然而,根据不确定性原理,如果在对问题A的意见测量之后紧接着对另一个问题B进行不相容的测量,那么对问题A的第二次测量的答案将变得不确定。这项预测在325名参与者身上针对12组不同的、先前已证明不相容的广泛问题进行了测试。与该期刊之前发表的说法相反,实证结果支持将量子概率论应用于人类判断的预测。