Syntactic theory of mathematical expressions.

Mathematics Numerical cognition Syntax Theoretical linguistics Tree structures

Journal

Cognitive psychology
ISSN: 1095-5623
Titre abrégé: Cogn Psychol
Pays: Netherlands
ID NLM: 0241111

Informations de publication

Date de publication:
11 2023
Historique:
received: 10 02 2023
revised: 28 06 2023
accepted: 16 09 2023
medline: 23 10 2023
pubmed: 26 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

Mathematical expressions consist of recursive combinations of numbers, variables, and operators. According to theoretical linguists, the syntactic mechanisms of natural language also provide a basis for mathematics. To date, however, no theoretically rigorous investigation has been conducted to support such arguments. Therefore, this study uses a methodology based on theoretical linguistics to analyze the syntactic properties of mathematical expressions. Through a review of recent behavioral and neuroimaging studies on mathematical syntax, we report several inconsistencies with theoretical linguistics, such as the use of ternary structures. To address these, we propose that a syntactic category called Applicative plays a central role in analyzing mathematical expressions with seemingly ternary structures by combining binary structures. Besides basic arithmetic expressions, we also examine algebraic equations and complex expressions such as integral and differential calculi. This study is the first attempt at building a comprehensive framework for analyzing the syntactic structures of mathematical expressions.

Identifiants

pubmed: 37748253
pii: S0010-0285(23)00064-6
doi: 10.1016/j.cogpsych.2023.101606
pii:
doi:

Types de publication

Review Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

101606

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Daiki Matsumoto (D)

Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan; Department of Humanities, Kanazawa Seiryo University, Kanazawa, Japan.

Tomoya Nakai (T)

Lyon Neuroscience Research Center (CRNL), (INSERM/CNRS/University of Lyon), Bron, France; Araya Inc., Tokyo, Japan; Advanced Comprehensive Research Organization, Teikyo University, Tokyo, Japan. Electronic address: nakai.tomoya@neuro.mimoza.jp.

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