The ontology of theoretical modelling: models as make-believe

Synthese 172 (2):301-315 (2010)
  Copy   BIBTEX

Abstract

The descriptions and theoretical laws scientists write down when they model a system are often false of any real system. And yet we commonly talk as if there were objects that satisfy the scientists’ assumptions and as if we may learn about their properties. Many attempt to make sense of this by taking the scientists’ descriptions and theoretical laws to define abstract or fictional entities. In this paper, I propose an alternative account of theoretical modelling that draws upon Kendall Walton’s ‘make-believe’ theory of representation in art. I argue that this account allows us to understand theoretical modelling without positing any object of which scientists’ modelling assumptions are true.

Other Versions

No versions found

Similar books and articles

Analytics

Added to PP
2009-03-28

Downloads
1,032 (#21,267)

6 months
97 (#65,445)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Adam Toon
University of Exeter

Citations of this work

Models as make-believe.Adam Toon - 2008 - In Roman Frigg & Matthew Hunter, Beyond Mimesis and Convention: Representation in Art and Science. Boston Studies in Philosophy of Science.
Models, Fictions, and Realism: Two Packages.Arnon Levy - 2012 - Philosophy of Science 79 (5):738-748.
Playing with molecules.Adam Toon - 2011 - Studies in History and Philosophy of Science Part A 42 (4):580-589.

View all 29 citations / Add more citations

References found in this work

How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
Science without laws.Ronald N. Giere - 1999 - Chicago: University of Chicago Press.
How models are used to represent reality.Ronald N. Giere - 2004 - Philosophy of Science 71 (5):742-752.

View all 17 references / Add more references