Modelling the psychological structure of reasoning

European Journal for Philosophy of Science 12 (2):1-27 (2022)
  Copy   BIBTEX

Abstract

Mathematics and logic are indispensable in science, yet how they are deployed and why they are so effective, especially in the natural sciences, is poorly understood. In this paper, I focus on the how by analysing Jean Piaget’s application of mathematics to the empirical content of psychological experiment; however, I do not lose sight of the application’s wider implications on the why. In a case study, I set out how Piaget drew on the stock of mathematical structures to model psychological content, namely, the operations of thought involved in reasoning. In particular, I show how operations of thought form structured wholes that initially resisted modelling by either lattices or groups but could be modelled adequately by modifications of these mathematical structures. Piaget coined the term ‘grouping’ for the modified structure, and I conclude that it represents a non-canonical application of mathematics to the empirical content of experimental psychology. I also touch on the role external factors played in Piaget’s development of the grouping. According to the genetic epistemology conceived by Piaget, the origin of intelligence lies in the biological organism and develops in stages over time, and, via the grouping, Piaget established a genetic relationship between two stages of reasoning. I show how this relationship explains why mathematics and logic fit the psychological content of reasoning whilst simultaneously making their successful deployment in the natural sciences more mysterious. Finally, I turn to the explanation Piaget envisaged for the unreasonable effectiveness of mathematics in the natural sciences and consider some consequences for naturalism and Pythagoreanism.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,349

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Reasoning and logic.Jim Mackenzie - 1989 - Synthese 79 (1):99 - 117.
Cognitive modelling of human temporal reasoning.Alice G. B. ter Meulen - 2003 - Behavioral and Brain Sciences 26 (5):623-624.
Quantum Causal Modelling.Fabio Costa & Sally Shrapnel - 2016 - New Journal of Physics 18 (6):063032.
Mathematics and Science.Ronald E. Mickens - 1990 - World Scientific Publishing Company.
Metacognitive control in single- vs. dual-process theory.Aliya R. Dewey - 2023 - Thinking and Reasoning 29 (2):177-212.
Defining a General Structure of Four Inferential Processes by Means of Four Pairs of Choices Concerning Two Basic Dichotomies.Antonino Drago - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag. pp. 298-317.
The Psychology of Logical Reasoning.John Samuel Lindsey - 2000 - Dissertation, University of Virginia

Analytics

Added to PP
2022-04-28

Downloads
10 (#1,160,791)

6 months
8 (#352,434)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

The Indispensability of Mathematics.Mark Colyvan - 2001 - Oxford, England: Oxford University Press.
Genetic epistemology.Jean Piaget - 1970 - New York,: Columbia University Press.
The unreasonable effectiveness of mathematics in the natural sciences.Eugene Wigner - 1960 - Communications in Pure and Applied Mathematics 13:1-14.

View all 32 references / Add more references