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A Planck Radiation and Quantization Scheme for Human Cognition and Language

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 additio...

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Autores principales: Aerts, Diederik, Beltran, Lester
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063007/
https://www.ncbi.nlm.nih.gov/pubmed/35519629
http://dx.doi.org/10.3389/fpsyg.2022.850725
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author Aerts, Diederik
Beltran, Lester
author_facet Aerts, Diederik
Beltran, Lester
author_sort Aerts, Diederik
collection PubMed
description 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.
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spelling pubmed-90630072022-05-04 A Planck Radiation and Quantization Scheme for Human Cognition and Language Aerts, Diederik Beltran, Lester Front Psychol Psychology 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. Frontiers Media S.A. 2022-04-19 /pmc/articles/PMC9063007/ /pubmed/35519629 http://dx.doi.org/10.3389/fpsyg.2022.850725 Text en Copyright © 2022 Aerts and Beltran. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Aerts, Diederik
Beltran, Lester
A Planck Radiation and Quantization Scheme for Human Cognition and Language
title A Planck Radiation and Quantization Scheme for Human Cognition and Language
title_full A Planck Radiation and Quantization Scheme for Human Cognition and Language
title_fullStr A Planck Radiation and Quantization Scheme for Human Cognition and Language
title_full_unstemmed A Planck Radiation and Quantization Scheme for Human Cognition and Language
title_short A Planck Radiation and Quantization Scheme for Human Cognition and Language
title_sort planck radiation and quantization scheme for human cognition and language
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9063007/
https://www.ncbi.nlm.nih.gov/pubmed/35519629
http://dx.doi.org/10.3389/fpsyg.2022.850725
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