Robust Simulations.
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 complicate...
| Publicado en: | Philosophy of Science Vol. 74; no. 5; pp. 873 - 884 |
|---|---|
| Autor principal: | |
| Formato: | Artículo |
| Publicado: |
Cambridge University Press
Dec2007
|
| Materias: | |
| 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=32869867&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 32869867 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2007 vid: 74 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 32869867 10.1086/525629 ppf: 873 ppct: 11 formats: fmt: @attributes: type: P size: 70KB tig: atl: Robust Simulations. aug: au: Muldoon, Ryan affil: Department of Philosophy, University of Pennsylvania, 433 Logan Hall, 249 S. 36th Street, Philadelphia, PA, 19104-6304 su: Computer simulation Methodology Differential equations Data modeling Simulation methods & models sug: subj: Computer simulation Methodology Differential equations Data modeling Simulation methods & models ab: 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. 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: 2007 holdings: @attributes: islocal: N |
|---|