Computer simulation through an error-statistical lens

Synthese 163 (3):371 - 384 (2008)
After showing how Deborah Mayo’s error-statistical philosophy of science might be applied to address important questions about the evidential status of computer simulation results, I argue that an error-statistical perspective offers an interesting new way of thinking about computer simulation models and has the potential to significantly improve the practice of simulation model evaluation. Though intended primarily as a contribution to the epistemology of simulation, the analysis also serves to fill in details of Mayo’s epistemology of experiment.
Keywords Computer simulation  Evidence  Error statistics  Climate models
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DOI 10.2307/40271037
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References found in this work BETA
Deborah G. Mayo (2001). Error and the Growth of Experimental Knowledge. International Studies in the Philosophy of Science 15 (1):455-459.

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Citations of this work BETA
Wendy S. Parker (2009). Confirmation and Adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume 83 (1):233-249.
Elisabeth A. Lloyd (2009). Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume 83 (1):213-232.

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