Philosophy Compass 9 (3):176-185 (2014)
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This article reviews the recent literature on idealization, specifically idealization in the course of scientific modeling. We argue that idealization is not a unified concept and that there are three different types of idealization: Galilean, minimalist, and multiple models, each with its own justification. We explore the extent to which idealization is a permanent feature of scientific representation and discuss its implications for debates about scientific realism
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DOI | 10.1111/phc3.12109 |
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References found in this work BETA
The Disorder of Things: Metaphysical Foundations of the Disunity of Science.John Dupré - 1993 - Harvard University Press.
Simulation and Similarity: Using Models to Understand the World.Michael Weisberg - 2013 - Oxford University Press.
Explaining Science: A Cognitive Approach.Jeffrey S. Poland - 1988 - Philosophical Review 100 (4):653-656.
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Citations of this work BETA
Scientific Understanding and Felicitous Legitimate Falsehoods.Insa Lawler - forthcoming - Synthese:1-29.
Derivational Robustness, Credible Substitute Systems and Mathematical Economic Models: The Case of Stability Analysis in Walrasian General Equilibrium Theory.D. Hands - 2016 - European Journal for Philosophy of Science 6 (1):31-53.
Biology and Philosophy Symposium on Simulation and Similarity: Using Models to Understand the World: Response to Critics.Michael Weisberg - 2015 - Biology and Philosophy 30 (2):299-310.
View all 9 citations / Add more citations
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