David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Synthese 172 (2):251-268 (2010)
Most scientific models are not physical objects, and this raises important questions. What sort of entity are models, what is truth in a model, and how do we learn about models? In this paper I argue that models share important aspects in common with literary fiction, and that therefore theories of fiction can be brought to bear on these questions. In particular, I argue that the pretence theory as developed by Walton has the resources to answer these questions. I introduce this account, outline the answers that it offers, and develop a general picture of scientific modelling based on it
|Keywords||Models Fiction Pretence Truth in fiction Semantic view of theories Structuralist view of models|
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References found in this work BETA
Nancy Cartwright (1983). How the Laws of Physics Lie. Oxford University Press.
Nancy Cartwright (1999). The Dappled World: A Study of the Boundaries of Science. Cambridge University Press.
Kendall L. Walton (1990). Mimesis as Make-Believe: On the Foundations of the Representational Arts. Harvard University Press.
Bertrand Russell (2005). On Denoting. Mind 114 (456):873 - 887.
Stewart Shapiro (1997). Philosophy of Mathematics: Structure and Ontology. Oxford University Press.
Citations of this work BETA
Till Grüne-Yanoff (2009). Learning From Minimal Economic Models. Erkenntnis 70 (1):81 - 99.
Peter Godfrey-Smith (2009). Models and Fictions in Science. Philosophical Studies 143 (1):101 - 116.
Arnon Levy (2011). Information in Biology: A Fictionalist Account. Noûs 45 (4):640-657.
Stathis Psillos (2011). Living with the Abstract: Realism and Models. Synthese 180 (1):3-17.
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