Making models count

Philosophy of Science 75 (3):383-404 (2008)
Abstract
What sort of claims do scientific models make and how do these claims then underwrite empirical successes such as explanations and reliable policy interventions? In this paper I propose answers to these questions for the class of models used throughout the social and biological sciences, namely idealized deductive ones with a causal interpretation. I argue that the two main existing accounts misrepresent how these models are actually used, and propose a new account. *Received July 2006; revised August 2008. †To contact the author, please write to: Department of Philosophy, University of Missouri, St. Louis, 599 Lucas Hall (MC 73), One University Blvd., St. Louis, MO 63121-4400; e-mail: alexandrovaa@umsl.edu.
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DOI 10.1086/592952
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References found in this work BETA
The Scientific Image.C. Van Fraassen Bas - 1980 - Oxford University Press.
Models as Mediators.Margaret Morrison & Mary Morgan (eds.) - 1999 - Cambridge University Press.
Robustness Analysis.Michael Weisberg - 2006 - Philosophy of Science 73 (5):730-742.
Galilean Idealization.Ernan McMullin - 1985 - Studies in History and Philosophy of Science Part A 16 (3):247-273.

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Citations of this work BETA
The Explanation Paradox.Julian Reiss - 2012 - Journal of Economic Methodology 19 (1):43-62.
Explanation, Understanding, and Unrealistic Models.Frank Hindriks - 2013 - Studies in History and Philosophy of Science Part A 44 (3):523-531.
Software Intensive Science.John Symons & Jack Horner - 2014 - Philosophy and Technology 27 (3):461-477.

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