Simulation and Calibration: Mitigating Uncertainty.
Calibrating a simulation is a crucial step for certain kinds of simulation modeling, and it results in a simulation that is epistemically different from its pre- or uncalibrated counterpart. This article discusses how simulation model builders mitigate uncertainty about model parameters that are nec...
| Publicado en: | Philosophy of Science Vol. 88; no. 5; pp. 985 - 997 |
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| Formato: | Artículo |
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Cambridge University Press
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Calibrating a simulation is a crucial step for certain kinds of simulation modeling, and it results in a simulation that is epistemically different from its pre- or uncalibrated counterpart. This article discusses how simulation model builders mitigate uncertainty about model parameters that are necessary for modeling through calibration and argues that the simulation outcomes after calibration are physically meaningful and relevant. When evaluating the epistemic status of computer simulations, comparisons between computer simulations and traditional experiments need to consider this important methodological step. |
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