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No Learning from Minimal Models

Published online by Cambridge University Press:  01 January 2022

Roberto Fumagalli
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Abstract

This article examines the issue of whether consideration of so-called minimal models can prompt learning about real-world targets. Using a widely cited example as a test case, it argues against the increasingly popular view that consideration of minimal models can prompt learning about such targets. The article criticizes influential defenses of this view for failing to explicate by virtue of what properties or features minimal models supposedly prompt learning. It then argues that consideration of minimal models cannot prompt learning about real-world targets unless one supplements these models with additional information or presuppositions concerning such targets.

Type
Models and Measurement
Information
Philosophy of Science , Volume 82 , Issue 5 , December 2015 , pp. 798 - 809
Copyright
Copyright © The Philosophy of Science Association

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References

Batterman, R. 2002. “Asymptotics and the Role of Minimal Models.” British Journal for the Philosophy of Science 53:21–38.CrossRefGoogle Scholar
Cartwright, N. 2009. “If No Capacities Then No Credible Worlds.” Erkenntnis 70:45–58.CrossRefGoogle Scholar
Dray, W. 1957. Laws and Explanations in History. Oxford: Oxford University Press.Google Scholar
Dray, W. 1968. “On Explaining How-Possibly.” Monist 52:390–407.CrossRefGoogle Scholar
Godfrey-Smith, P. 2006. “The Strategy of Model-Based Science.” Biology and Philosophy 21:725–40.Google Scholar
Grüne-Yanoff, T. 2009. “Learning from Minimal Economic Models.” Erkenntnis 70:81–99.CrossRefGoogle Scholar
Grüne-Yanoff, T. 2013a. “Appraising Models Nonrepresentationally.” Philosophy of Science 80:850–61.CrossRefGoogle Scholar
Grüne-Yanoff, T. 2013b. “Genuineness Resolved: A Reply to Reiss’ Purported Paradox.” Journal of Economic Methodology 20:255–61.CrossRefGoogle Scholar
Hausman, D. 1992. The Inexact and Separate Science of Economics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Knuuttila, T. 2009. “Isolating Representations vs. Credible Constructions? Economic Modelling in Theory and Practice.” Erkenntnis 70:59–80.CrossRefGoogle Scholar
Kuorikoski, J., Lehtinen, A., and Marchionni, C.. 2010. “Economic Modelling as Robustness Analysis.” British Journal for the Philosophy of Science 61:541–67.CrossRefGoogle Scholar
Mäki, U. 2009. “MISSing the World: Models as Isolations and Credible Surrogate Systems.” Erkenntnis 70:29–43.CrossRefGoogle Scholar
Morgan, M. S. 2001. “Models, Stories and the Economic World.” Journal of Economic Methodology 8:361–97.CrossRefGoogle Scholar
Muldoon, R., Smith, T., and Weisberg, M.. 2012. “Segregation That No One Seeks.” Philosophy of Science 79:38–62.CrossRefGoogle Scholar
Pancs, R., and Vriend, N. J.. 2007. “Schelling’s Spatial Proximity Model of Segregation Revisited.” Journal of Public Economics 91:1–24.CrossRefGoogle Scholar
Reiner, R. 1993. “Necessary Conditions and Explaining How-Possibly.” Philosophical Quarterly 44:58–69.CrossRefGoogle Scholar
Schelling, T. C. 1969. “Models of Segregation.” American Economic Review 59:488–93.Google Scholar
Schelling, T. C. 1971. “Dynamic Models of Segregation.” Journal of Mathematical Sociology 1:143–86.CrossRefGoogle Scholar
Suarez, M. 2004. “An Inferential Conception of Scientific Representation.” Philosophy of Science 71 (Proceedings): 767–79.CrossRefGoogle Scholar
Sugden, R. 2000. “Credible Worlds: The Status of Theoretical Models in Economics.” Journal of Economic Methodology 7:1–31.CrossRefGoogle Scholar
Sugden, R. 2009. “Credible Worlds, Capacities and Mechanisms.” Erkenntnis 70:3–27.CrossRefGoogle Scholar
Weisberg, M. 2006. “Robustness Analysis.” Philosophy of Science 73:730–42.CrossRefGoogle Scholar
Weisberg, M. 2007a. “Three Kinds of Idealization.” Journal of Philosophy 104:639–59.CrossRefGoogle Scholar
Weisberg, M. 2007b. “Who Is a Modeler?” British Journal for the Philosophy of Science 58:207–33.CrossRefGoogle Scholar
Weisberg, M. 2012. “Getting Serious about Similarity.” Philosophy of Science 79:785–94.CrossRefGoogle Scholar
Woodward, J. 2006. “Some Varieties of Robustness.” Journal of Economic Methodology 13:219–40.CrossRefGoogle Scholar
Ylikoski, P., and Aydinonat, N. E.. 2014. “Understanding with Theoretical Models.” Journal of Economic Methodology 21:19–36.CrossRefGoogle Scholar