An overview of the quantum cognition research program.

IF 3.2 3区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Jiaqi Huang, Gunnar Epping, Jennifer S Trueblood, James M Yearsley, Jerome R Busemeyer, Emmanuel M Pothos
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引用次数: 0

Abstract

The quantum cognition research program concerns the application of quantum probability theory (the rules for how to assign probabilities to events from quantum mechanics, without the physics) to cognitive modeling. We review quantum cognitive models in several areas of psychology, including conjunction/disjunction fallacies in probabilistic judgment, conceptual combinations, similarity, order effects on judgments, causal inference, the disjunction effect in decision making, measurement, and interference effects on judgments and decisions, memory, perception, and other judgment and decision-making applications. For each area, we first present the empirical findings that have motivated the application of quantum models, emphasizing any characteristics which are particularly puzzling or have resisted coherent theoretical explanations previously; we then discuss the quantum cognitive models, noting the key features of the models that help explain the empirical data; we finally cast a critical eye on the models and explore comparisons with non-quantum models.

量子认知研究计划概述。
量子认知研究项目涉及将量子概率论(如何从量子力学中为事件分配概率的规则,而不是物理学)应用于认知建模。我们回顾了几个心理学领域的量子认知模型,包括概率判断中的连接/分离谬误、概念组合、相似性、判断中的顺序效应、因果推理、决策中的分离效应、测量、判断和决策中的干扰效应、记忆、感知和其他判断和决策应用。对于每个领域,我们首先提出了激发量子模型应用的实证发现,强调任何特别令人困惑或先前抵制连贯理论解释的特征;然后,我们讨论了量子认知模型,指出了有助于解释经验数据的模型的关键特征;最后,我们对模型进行了批判性的研究,并探讨了与非量子模型的比较。
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来源期刊
CiteScore
6.70
自引率
2.90%
发文量
165
期刊介绍: The journal provides coverage spanning a broad spectrum of topics in all areas of experimental psychology. The journal is primarily dedicated to the publication of theory and review articles and brief reports of outstanding experimental work. Areas of coverage include cognitive psychology broadly construed, including but not limited to action, perception, & attention, language, learning & memory, reasoning & decision making, and social cognition. We welcome submissions that approach these issues from a variety of perspectives such as behavioral measurements, comparative psychology, development, evolutionary psychology, genetics, neuroscience, and quantitative/computational modeling. We particularly encourage integrative research that crosses traditional content and methodological boundaries.
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