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Why Simpler Computer Simulation Models Can Be Epistemically Better for Informing Decisions

Published online by Cambridge University Press:  01 January 2022

Casey Helgeson ,
Vivek Srikrishnan ,
Klaus Keller  and
Nancy Tuana
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Abstract

For computer simulation models to usefully inform climate risk management, uncertainties in model projections must be explored and characterized. Because doing so requires running the model many times over, and because computing resources are finite, uncertainty assessment is more feasible using models that demand less computer processor time. Such models are generally simpler in the sense of being more idealized, or less realistic. So modelers face a trade-off between realism and uncertainty quantification. Seeing this trade-off for the important epistemic issue that it is requires a shift in perspective from the established simplicity literature in philosophy of science.

Type
Research Article
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Philosophy of Science , Volume 88 , Issue 2 , April 2021 , pp. 213 - 233
Copyright
Copyright © The Philosophy of Science Association

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