A Planck Radiation and Quantization Scheme for Human Cognition and Language
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Abstract (arXiv)
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.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 14 of its 90 references that are in the map. First posted on arXiv 10 Jan 2022.
Builds on
14 of 90 references.
References · 14
- 2019Quantum Structure in Cognition: Human Language as a Boson Gas of Entangled Wordscited by 9
- 2021Are Words the Quanta of Human Language? Extending the Domain of Quantum Cognitioncited by 7
- 2013Quantum Entanglement in Concept Combinationscited by 6
- 2018The Heart of an Image: Quantum Superposition and Entanglement in Visual Perceptioncited by 6
- 2019Quantum entanglement in physical and cognitive systems: a conceptual analysis and a general representationcited by 6
- 2014The Quantum Nature of Identity in Human Thought: Bose-Einstein Statistics for Conceptual Indistinguishabilitycited by 5
- 2017Spin and Wind Directions II: A Bell State Quantum Modelcited by 5
- 2021Entanglement in Cognition violating Bell Inequalities Beyond Cirel'son's Boundcited by 5
- 2021Quantum Bose-Einstein Statistics for Indistinguishable Concepts in Human Languagecited by 5
- 2013Introduction to the Special Issue on Quantum Cognitioncited by 4
- 2015Spin and Wind Directions I: Identifying Entanglement in Nature and Cognitioncited by 4
- 2017Toward a Quantum Theory of Humorcited by 4
2 more
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Citing papers per year: 2022: 1; 2023: 2; 2024: 3; 2025: 2.
8 papers.
- 2024Reservoir Computing Using Measurement-Controlled Quantum Dynamicscited by 7
- 2023The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamicscited by 5
- 2025Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognitioncited by 3
- 2022Development of a Thermodynamics of Human Cognition and Human Culturecited by 2
- 2023Exploring Cognitive Paradoxes in Video Games: A Quantum Mechanical Perspectivecited by 2
- 2024Identifying Quantum Mechanical Statistics in Italian Corporacited by 1
- 2024Are Colors Quanta of Light for Human Vision? A Quantum Cognition Study of Visual Perceptioncited by 0
- 2025Quantum-Cognitive Tunnelling Neural Networks for Military-Civilian Vehicle Classification and Sentiment Analysiscited by 0
- 2025Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition21 Nov 2025
- 2025Quantum-Cognitive Tunnelling Neural Networks for Military-Civilian Vehicle Classification and Sentiment Analysis18 Jul 2025
- 2024Identifying Quantum Mechanical Statistics in Italian Corpora10 Dec 2024
- 2024Are Colors Quanta of Light for Human Vision? A Quantum Cognition Study of Visual Perception14 Mar 2024
- 2024Reservoir Computing Using Measurement-Controlled Quantum Dynamics1 Mar 2024
- 2023The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamics30 Sep 2023
- 2023Exploring Cognitive Paradoxes in Video Games: A Quantum Mechanical Perspective23 Jun 2023
- 2022Development of a Thermodynamics of Human Cognition and Human Culture24 Dec 2022