Robust simulations

Philosophy of Science 74 (5):873-883 (2007)
As scientists begin to study increasingly complex questions, many have turned to computer simulation to assist in their inquiry. This methodology has been challenged by both analytic modelers and experimentalists. A primary objection of analytic modelers is that simulations are simply too complicated to perform model verification. From the experimentalist perspective it is that there is no means to demonstrate the reality of simulation. The aim of this paper is to consider objections from both of these perspectives, and to argue that a proper understanding and application of robustness analysis is able to resolve them. ‡The author would like to thank Cristina Bicchieri, Michelle Foa, Paul Humphreys and Michael Weisberg for their helpful comments and suggestions. †To contact the author, please write to: Department of Philosophy, University of Pennsylvania, 433 Logan Hall, 249 S. 36th Street, Philadelphia, PA, 19104-6304; e-mail:
Keywords Simulation  Robustness  Modeling
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DOI 10.1086/525629
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References found in this work BETA
Ian Hacking (1981). Do We See Through a Microscope? Pacific Philosophical Quarterly 62 (4):305-322.

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Elisabeth A. Lloyd (2009). Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume 83 (1):213-232.

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