Abstract
In computer simulations of physical systems, the construction of models is guided, but not determined, by theory. At the same time simulations models are often constructed precisely because data are sparse. They are meant to replace experiments and observations as sources of data about the world; hence they cannot be evaluated simply by being compared to the world. So what can be the source of credibility for simulation models? I argue that the credibility of a simulation model comes not only from the credentials supplied to it by the governing theory, but also from the antecedently established credentials of the model building techniques employed by the simulationists. In other words, there are certain sorts of model building techniques which are taken, in and of themselves, to be reliable. Some of these model building techniques, moreover, incorporate what are sometimes called “falsifications.” These are contrary-to-fact principles that are included in a simulation model and whose inclusion is taken to increase the reliability of the results. The example of a falsification that I consider, called artificial viscosity, is in widespread use in computational fluid dynamics. Artificial viscosity, I argue, is a principle that is successfully and reliably used across a wide domain of fluid dynamical applications, but it does not offer even an approximately “realistic” or true account of fluids. Artificial viscosity, therefore, is a counter-example to the principle that success implies truth – a principle at the foundation of scientific realism. It is an example of reliability without truth.
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References
Campbell, J.: 2000 ‘Artificial Viscosity for Multi-dimensional Hydrodynamics Codes’, http://cnls.lanl.gov/Highlights/2000-09/article.htm
E.J. Caramana M.J. Shashkov P.P. Whalen (1988) ArticleTitle‘Formulations of Artificial Viscosity for Multi-Dimensional Shock Wave Computations’ Journal of Computational Physics 144 70–97 Occurrence Handle10.1006/jcph.1998.5989
A. Fine (1991) ArticleTitle‘Piecemeal Realism’ Philosophical Studies 61 79–96 Occurrence Handle10.1007/BF00385834
A. Fine (1996) The Shaky Game University of Chicago Press Chicago
A. Fine (2001) ArticleTitle‘The Scientific Image’ Twenty Years Later’ Philosophical Studies 106 107–122 Occurrence Handle10.1023/A:1013114421747
P. Galison (1997) Image and Logic: A Material Culture of Microphysics University of Chicago Press Chicago
I. Hacking (1988) ArticleTitle‘On the Stability of the Laboratory Sciences’ The Journal of Philosophy 85 IssueID10 507–515
P. Horwich (1999) Truth Oxford University Press Oxford
P. Kitcher (2002) ArticleTitle‘On the Explanatory Role of Correspondence Truth’ Philosophy and Phenomenological Research 64 346–364
L. Laudan (1981) ArticleTitle‘A Confutation of Convergent Realism’ Philosophy of Science 48 218–249 Occurrence Handle10.1086/288992
M. Morgan M. Morrison (Eds) (1999) Models as Mediators Cambridge University Press Cambridge
J. Steinhoff D. Underhill (1994) ArticleTitle‘Modification of the Euler Equations for ‘Vorticity Confinement’: Application to the Computation of Interacting Vortex Rings’ Physics of Fluids 6 2738–2744 Occurrence Handle10.1063/1.868164
J Neumann Particlevon Richtmyer R. D. (1950) ArticleTitle‘A Method for the Numerical Calculation of Hydrodynamical Shocks’ Journal of Applied Physics 21 232–247 Occurrence Handle10.1063/1.1699639
E. Winsberg (1999) ArticleTitle‘Sanctioning Models: The Epistemology of Simulation’ Science in Context 12 IssueID2 275–292 Occurrence Handle10.1017/S0269889700003422
E. Winsberg (2003) ArticleTitle‘Simulated Experiments: Methodology for a Virtual World’ Philosophy of Science 70 105–125 Occurrence Handle10.1086/367872
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Thanks to Robert Batterman, Ludwig Fahrbach, Arthur Fine, Stephan Hartmann, David Hyder, Johannes Leonard, Margaret Morrison, and Daniel Weiskopf, as well as other attendees of the ZIF conference on models and simulations in Bielefeld, 4S in Atlanta, and my talk at the University of Konstanz, for helpful comments and criticisms.
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Winsberg, E. Models of Success Versus the Success of Models: Reliability without Truth. Synthese 152, 1–19 (2006). https://doi.org/10.1007/s11229-004-5404-6
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DOI: https://doi.org/10.1007/s11229-004-5404-6