About the warrants of computer-based empirical knowledge.
Computer simulations are widely used in current scientific practice, as a tool to obtain information about various phenomena. Scientists accordingly rely on the outputs of computer simulations to make statements about the empirical world. In that sense, simulations seem to enable scientists to acqui...
| Publicado en: | Synthese Vol. 191; no. 15; pp. 3595 - 3621 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Oct2014
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| 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=97851883&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 97851883 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Oct2014 vid: 191 iid: 15 pid: 237 pub: Springer Nature artinfo: ui: 97851883 10.1007/s11229-014-0482-6 ppf: 3595 ppct: 26 formats: fmt: @attributes: type: P size: 231KB tig: atl: About the warrants of computer-based empirical knowledge. aug: au: Barberousse, Anouk Vorms, Marion affil: Université Lille 1 & STL, Bât. P5 bis, Cité Scientifique 59665 Villeneuve d'Ascq France Université Paris 1 & IHPST, 13 rue du Four 75006 Paris France su: Computer simulation Theory of knowledge Simulation software Justification (Ethics) Epistemics sug: subj: Computer simulation Theory of knowledge Simulation software Justification (Ethics) Epistemics keyword: Empirical knowledge Entitlement Expertise Justification Warrant ab: Computer simulations are widely used in current scientific practice, as a tool to obtain information about various phenomena. Scientists accordingly rely on the outputs of computer simulations to make statements about the empirical world. In that sense, simulations seem to enable scientists to acquire empirical knowledge. The aim of this paper is to assess whether computer simulations actually allow for the production of empirical knowledge, and how. It provides an epistemological analysis of present-day empirical science, to which the traditional epistemological categories cannot apply in any simple way. Our strategy consists in acknowledging the complexity of scientific practice, and trying to assess its rationality. Hence, while we are careful not to abstract away from the details of scientific practice, our approach is not strictly descriptive: our goal is to state in what conditions empirical science can rely on computer simulations. In order to do so, we need to adopt a renewed epistemological framework, whose categories would enable us to give a finer-grained, and better-fitted analysis of the rationality of scientific practice. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2014. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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