Quantum projections on conceptual subspaces: A deeper dive into methodological challenges and opportunities

Martínez Mingo, Alejandro, Martínez Huertas, José Ángel, Olmos, Ricardo y Jorge Botana, Guillermo . (2024) Quantum projections on conceptual subspaces: A deeper dive into methodological challenges and opportunities. Science Progress (2024) 107-2 p. 1–8

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Título Quantum projections on conceptual subspaces: A deeper dive into methodological challenges and opportunities
Autor(es) Martínez Mingo, Alejandro
Martínez Huertas, José Ángel
Olmos, Ricardo
Jorge Botana, Guillermo
Materia(s) Psicología
Abstract In alignment with the distributional hypothesis of language, the work “Quantum Projections on Conceptual Subspaces” (Martínez-Mingo A, Jorge-Botana G, Martinez-Huertas JÁ, et al. Quantum projections on conceptual subspaces. Cogn Syst Res 2023; 82: 101154) proposed a methodology for generating conceptual subspaces from textual information based on previous work (Martinez-Mingo A, Jorge-Botana G and Olmos R. Quantum approach for similarity evaluation in LSA vector space models. 2020). These subspaces enable the utilization of the quantum model of similarity put forth by Pothos and Busemeyer (Pothos E, Busemeyer J. A quantum probability explanation for violations of symmetry in similarity judgments. In Proceedings of the annual meeting of the cognitive science society, 2011, Vol. 33, No. 33), allowing for the empirical examination of the violations of assumptions concerning symmetry and triangular inequality (Tversky A. Features of similarity. Psychol Rev 1977; 84: 327–352; Yearsley JM, Barque-Duran A, Scerrati E, et al. The triangle inequality constraint in similarity judgments. Prog Biophys Mol Biol 2017; 130: 26–32), as well as the diagnosticity effect (Tversky A. Features of similarity. Psychol Rev 1977; 84: 327–352; Yearsley JM, Pothos EM, Barque-Duran A, et al. Context effects in similarity judgments. J Exp Psychol Gen 2022; 151: 711–717), within a data-driven environment. These psychological biases, deeply studied by authors such as Tversky and Kahneman, inform us about the limitations of modeling psychological similarity measures using tools from classical geometry. This commentary aims to offer methodological clarifications, discuss theoretical and practical implications, and speculate on future directions in this field of research. Concretely, it aims to propose the use of different contours (conceptual or contextual) to generate the subspaces, which lead to subspaces of terms or contexts. Once these contours are defined, a differentiation is proposed between Aggregated Terms Subspaces (ATSs), Aggregated Contexts Subspaces (ACSs), and Aggregated Features Subspaces (AFSs) depending on whether we define the subspaces by grouping the terms or contexts within the contour, or from the latent dimensions of the semantic space obtained in the contour window. Finally, new data is provided on the violation of the triangular inequality assumption through the application of the quantum similarity model to ATSs.
Palabras clave Natural language processing
computational linguistics
cognitive processes
quantum cognition
artificial intelligence
Editor(es) SAGE
Fecha 2024
Formato application/pdf
Identificador bibliuned:DptoMCC-FPSI-Articulos-Jamartinez-0036
http://e-spacio.uned.es/fez/view/bibliuned:DptoMCC-FPSI-Articulos-Jamartinez-0036
DOI - identifier http://doi.org/10.1177/00368504241238773
ISSN - identifier 0036-8504; eISSN: 2047-7163
Nombre de la revista Science Progress
Número de Volumen 107
Número de Issue 2
Página inicial 1
Página final 8
Publicado en la Revista Science Progress (2024) 107-2 p. 1–8
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Science Progress (2024) 107-2 p. 1–8, está disponible en línea en el sitio web del editor: SAGE ; https://doi.org/10.1016/j.cogsys.2023.101154
Notas adicionales The registered version of this paper, first published in Science Progress (2024) 107-2 p. 1–8, is available online at the publisher's website: SAGE; https://doi.org/10.1016/j.cogsys.2023.101154

 
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Creado: Wed, 17 Apr 2024, 16:34:39 CET