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 |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=153950450&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153950450 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2021 vid: 88 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 153950450 10.1086/715082 ppf: 985 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P size: 88KB tig: atl: Simulation and Calibration: Mitigating Uncertainty. aug: au: Haar, Deborah su: Computer simulation Calibration Simulation methods & models sug: subj: Computer simulation Calibration Simulation methods & models ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2021 holdings: @attributes: islocal: N |
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