Virtual Models and Simulations: A Different Kind of Science?
The personal computer has become the primary research tool in many scientific and engineering disciplines. The role of the computer has been extended to be an experimental and modelling tool both for convenience and sometimes necessity. In this paper some of the relationships between real models and...
| Publicado en: | Techné: Research in Philosophy & Technology Vol. 11; no. 1; pp. 42 - 55 |
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| Formato: | Artículo |
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Philosophy Documentation Center
Fall2007
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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=31207846&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 31207846 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01617249 2Y0N jtl: Techné: Research in Philosophy & Technology issn: 01617249 maglogo: N pubinfo: dt: Fall2007 vid: 11 iid: 1 pid: 2411 pub: Philosophy Documentation Center artinfo: ui: 31207846 ppf: 42 ppct: 13 formats: fmt: @attributes: type: P size: 199KB tig: atl: Virtual Models and Simulations: A Different Kind of Science? aug: au: Krebs, Peter R. affil: School of History & Philosophy, University of New South Wales su: Computer simulation Virtual reality Computer software Computer systems Data structures sug: subj: Computer simulation Virtual reality Computer software Computer systems Data structures ab: The personal computer has become the primary research tool in many scientific and engineering disciplines. The role of the computer has been extended to be an experimental and modelling tool both for convenience and sometimes necessity. In this paper some of the relationships between real models and virtual models, i.e. models that exist only as programs and data structures, are explored. It is argued that the shift from experimenting with real objects to experimentation with computer models and simulations may also require a new approach for evaluating scientific theories derived from these models. Accepting the additional sets of assumptions that are associated with computer models and simulations requires 'leaps of faith', which we may not want to make in order to preserve scientific rigor. There are problems in providing acceptable arguments and explanations as to why a particular computer model or simulation should be judged scientifically sound, plausible, or even probable. These problems not only emerge from models that are particularly complex, but also in models that suffer from being too simplistic. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Techné: Research in Philosophy & Technology is the property of Philosophy Documentation Center 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: Techné: Research in Philosophy & Technology holder: Philosophy Documentation Center dt: @attributes: year: 2007 holdings: @attributes: islocal: N |
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