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Cogn Psychol. 2023 Feb;140:101529. doi: 10.1016/j.cogpsych.2022.101529. Epub 2022 Dec 5.
2
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Entropy (Basel). 2022 May 20;24(5):725. doi: 10.3390/e24050725.
3
Mean-field theory of social laser.社会激光的平均场理论。
Sci Rep. 2022 May 20;12(1):8566. doi: 10.1038/s41598-022-12327-w.
4
Ambivalence in decision making: An eye tracking study.决策中的矛盾心理:一项眼动追踪研究。
Cogn Psychol. 2022 May;134:101464. doi: 10.1016/j.cogpsych.2022.101464. Epub 2022 Mar 14.
5
Order stability via Fröhlich condensation in bio, eco, and social systems: The quantum-like approach.通过生物、生态和社会系统中的弗洛里希凝聚实现秩序稳定:类量子方法。
Biosystems. 2022 Feb;212:104593. doi: 10.1016/j.biosystems.2021.104593. Epub 2021 Dec 29.
6
Quantum Cognition.量子认知。
Annu Rev Psychol. 2022 Jan 4;73:749-778. doi: 10.1146/annurev-psych-033020-123501. Epub 2021 Sep 21.
7
Explanatory profiles of models of consciousness - towards a systematic classification.意识模型的解释性概况——迈向系统分类
Neurosci Conscious. 2021 Aug 27;2021(2):niab021. doi: 10.1093/nc/niab021. eCollection 2021.
8
Mean-field theory of superradiant phase transition in complex networks.复杂网络中超辐射相变的平均场理论。
Phys Rev E. 2021 Jun;103(6-1):062309. doi: 10.1103/PhysRevE.103.062309.
9
Quantum-like model for unconscious-conscious interaction and emotional coloring of perceptions and other conscious experiences.量子似模型用于无意识-意识相互作用以及感知和其他意识经验的情绪化着色。
Biosystems. 2021 Oct;208:104471. doi: 10.1016/j.biosystems.2021.104471. Epub 2021 Jul 6.
10
Order-Stability in Complex Biological, Social, and AI-Systems from Quantum Information Theory.基于量子信息论的复杂生物、社会和人工智能系统中的秩序稳定性
Entropy (Basel). 2021 Mar 16;23(3):355. doi: 10.3390/e23030355.

用于生物学、认知和决策中类量子建模的开放系统、量子概率和逻辑

Open Systems, Quantum Probability, and Logic for Quantum-like Modeling in Biology, Cognition, and Decision-Making.

作者信息

Khrennikov Andrei

机构信息

International Center for Mathematical Modeling in Physics and Cognitive Sciences, Linnaeus University, SE-351 95 Växjö, Sweden.

出版信息

Entropy (Basel). 2023 Jun 1;25(6):886. doi: 10.3390/e25060886.

DOI:10.3390/e25060886
PMID:37372230
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10296982/
Abstract

The aim of this review is to highlight the possibility of applying the mathematical formalism and methodology of quantum theory to model behavior of complex biosystems, from genomes and proteins to animals, humans, and ecological and social systems. Such models are known as quantum-like, and they should be distinguished from genuine quantum physical modeling of biological phenomena. One of the distinguishing features of quantum-like models is their applicability to macroscopic biosystems or, to be more precise, to information processing in them. Quantum-like modeling has its basis in quantum information theory, and it can be considered one of the fruits of the quantum information revolution. Since any isolated biosystem is dead, modeling of biological as well as mental processes should be based on the theory of open systems in its most general form-the theory of open quantum systems. In this review, we explain its applications to biology and cognition, especially theory of quantum instruments and the quantum master equation. We mention the possible interpretations of the basic entities of quantum-like models with special interest given to QBism, as it may be the most useful interpretation.

摘要

本综述的目的是强调将量子理论的数学形式和方法应用于对复杂生物系统行为进行建模的可能性,这些系统涵盖从基因组、蛋白质到动物、人类以及生态和社会系统。此类模型被称为类量子模型,应将它们与对生物现象的真正量子物理建模区分开来。类量子模型的一个显著特征是它们适用于宏观生物系统,或者更确切地说,适用于其中的信息处理。类量子建模基于量子信息理论,可以被视为量子信息革命的成果之一。由于任何孤立的生物系统都是无生命的,对生物过程以及心理过程的建模都应以最一般形式的开放系统理论——开放量子系统理论为基础。在本综述中,我们解释其在生物学和认知方面的应用,特别是量子仪器理论和量子主方程。我们提及类量子模型基本实体的可能解释,并对量子贝叶斯主义(QBism)给予特别关注,因为它可能是最有用的解释。