PhilSci Archive

Learning to Represent: Mathematics-first accounts of representation and their relation to natural language

Wallace, David (2024) Learning to Represent: Mathematics-first accounts of representation and their relation to natural language. [Preprint]

[img]
Preview
Text
learning_to_represent.pdf

Download (344kB) | Preview

Abstract

I develop an account of how mathematized theories in physics represent physical systems, in response to the frequent claim that any such account must presuppose a non-mathematized, and usually linguistic, description of the system represented. The account I develop contains a circularity, in that representation is a mathematical relation between the models of a theory and the system as represented by some other model --- but I argue that this circularity is not vicious, in any case refers in linguistic accounts of meaning and representation, and is simply a consequence of the fact that we have no unmediated, representation-independent access to the world.


Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Preprint
Creators:
CreatorsEmailORCID
Wallace, Daviddavid.wallace@pitt.edu
Keywords: structural realism representation semantic view of theories mathematics-first
Subjects: General Issues > Scientific Metaphysics
General Issues > Models and Idealization
General Issues > Realism/Anti-realism
General Issues > Structure of Theories
Depositing User: Professor David Wallace
Date Deposited: 24 Mar 2024 01:37
Last Modified: 24 Mar 2024 01:37
Item ID: 23224
Subjects: General Issues > Scientific Metaphysics
General Issues > Models and Idealization
General Issues > Realism/Anti-realism
General Issues > Structure of Theories
Date: 2024
URI: https://philsci-archive.pitt.edu/id/eprint/23224

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item