论文标题
人类认知和语言的普朗克辐射和量化方案
A Planck Radiation and Quantization Scheme for Human Cognition and Language
论文作者
论文摘要
由于鉴定了“身份”和“难以区分”以及在人类认知和语言中存在相关的Bose-Einstein统计数据的强有力的实验证据,我们在先前的工作中认为,扩展了量子认知研究领域。除了量子复杂的矢量空间和量子概率模型外,我们表明量化本身以量子为Quanta的词与人类认知相关且可能重要。在目前的工作中,我们以此结果为基础,并为人类认知引入了强大的辐射量化方案。我们表明,与麦克斯韦·博尔茨曼(Maxwell-Boltzmann)统计相比,可以通过存在“含义动力学”的存在来解释Bose-Einstein统计数据的独立性,这会导致单词被相同的单词吸引。因此,单词在同一状态下团结在一起,这是一种在量子力学早期以光子而闻名的现象,导致普朗克和爱因斯坦之间的强烈分歧。使用一个简单的示例,我们介绍了所有元素,以获取此“含义动态”的更好,详细的视图,例如微型和宏观状态,以及Maxwell-Boltzmann,Bose-Einstein和Fermi-Dirac的数字和权重,并与Winnie The Pooh Story的辐射量化方案进行比较,并将其图表与其图表进行比较。通过将概念直接与人类的经验联系起来,我们表明纠缠是维护我们确定的“意义动态”的必要条件,而Fermi-Dirac以哪种方式清楚地解决了人类记忆。在人类的思想中,作为记忆的关键方面,在具有内部参数的空间中,可以分配不同的词,因此可以分配不同的状态,因此在本地和上下文上实现了由Pauli排除原则构成的必要独特性,以使人类思想蓬勃发展。
As a result of the identification of 'identity' and 'indistinguishability' and strong experimental evidence for the presence of the associated Bose-Einstein statistics in human cognition and language, we argued in previous work for an extension of the research domain of quantum cognition. In addition to quantum complex vector spaces and quantum probability models, we showed that quantization itself, with words as quanta, is relevant and potentially important to human cognition. In the present work, we build on this result, and introduce a powerful radiation quantization scheme for human cognition. We show that the lack of independence of the Bose-Einstein statistics compared to the Maxwell-Boltzmann statistics can be explained by the presence of a 'meaning dynamics', which causes words to be attracted to the same words. And so words clump together in the same states, a phenomenon well known for photons in the early years of quantum mechanics, leading to fierce disagreements between Planck and Einstein. Using a simple example, we introduce all the elements to get a better and detailed view of this 'meaning dynamics', such as micro and macro states, and Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac numbers and weights, and compare this example and its graphs, with the radiation quantization scheme of a Winnie the Pooh story, also with its graphs. By connecting a concept directly to human experience, we show that entanglement is a necessity for preserving the 'meaning dynamics' we identified, and it becomes clear in what way Fermi-Dirac addresses human memory. Within the human mind, as a crucial aspect of memory, in spaces with internal parameters, identical words can nevertheless be assigned different states and hence realize locally and contextually the necessary distinctiveness, structured by a Pauli exclusion principle, for human thought to thrive.