How simulations fail.
'The problem with simulations is that they are doomed to succeed.' So runs a common criticism of simulations-that they can be used to 'prove' anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simul...
| Publicado en: | Synthese Vol. 190; no. 12; pp. 2367 - 2391 |
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| Autores principales: | , , , , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Aug2013
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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=88784624&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 88784624 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Aug2013 vid: 190 iid: 12 pid: 237 pub: Springer Nature artinfo: ui: 88784624 10.1007/s11229-011-9976-7 ppf: 2367 ppct: 24 formats: fmt: @attributes: type: P size: 524KB tig: atl: How simulations fail. aug: au: Grim, Patrick Rosenberger, Robert Rosenfeld, Adam Anderson, Brian Eason, Robb affil: Stony Brook University, Stony Brook 11794 USA Georgia Institute of Technology, Atlanta 30332 USA Emerson College, Boston 02116 USA su: Computer simulation Electromechanical analogies Game theory Mathematical models Scientific method sug: subj: Computer simulation Electromechanical analogies Game theory Mathematical models Scientific method keyword: Model Scientific methodology Simulation ab: 'The problem with simulations is that they are doomed to succeed.' So runs a common criticism of simulations-that they can be used to 'prove' anything and are thus of little or no scientific value. While this particular objection represents a minority view, especially among those who work with simulations in a scientific context, it raises a difficult question: what standards should we use to differentiate a simulation that fails from one that succeeds? In this paper we build on a structural analysis of simulation developed in previous work to provide an evaluative account of the variety of ways in which simulations do fail. We expand the structural analysis in terms of the relationship between a simulation and its real-world target emphasizing the important role of aspects intended to correspond and also those specifically intended not to correspond to reality. The result is an outline both of the ways in which simulations can fail and the scientific importance of those various forms of failure. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2013. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2013 holdings: @attributes: islocal: N |
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