Values and Uncertainty in Simulation Models.
In this paper I argue for a distinction between subjective and value laden aspects of judgements showing why equating the former with the latter has the potential to confuse matters when the goal is uncovering the influence of political influences on scientific practice. I will focus on three separa...
| Publicado en: | Erkenntnis Vol. 79; pp. 939 - 960 |
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| Formato: | Artículo |
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Springer Nature
Jun2014 Supplement
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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=98148462&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 98148462 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 01650106 5KZ jtl: Erkenntnis issn: 01650106 maglogo: N pubinfo: dt: Jun2014 Supplement vid: 79 pid: 237 pub: Springer Nature artinfo: ui: 98148462 10.1007/s10670-013-9537-1 ppf: 939 ppct: 21 formats: fmt: @attributes: type: P size: 375KB tig: atl: Values and Uncertainty in Simulation Models. aug: au: Morrison, Margaret affil: Department of Philosophy, University of Toronto, Toronto Canada su: Argument Uncertainty Values (Ethics) Computer simulation Philosophy of science Judgment (Psychology) sug: subj: Argument Uncertainty Values (Ethics) Computer simulation Philosophy of science Judgment (Psychology) ab: In this paper I argue for a distinction between subjective and value laden aspects of judgements showing why equating the former with the latter has the potential to confuse matters when the goal is uncovering the influence of political influences on scientific practice. I will focus on three separate but interrelated issues. The first concerns the issue of 'verification' in computational modelling. This is a practice that involves a number of formal techniques but as I show, even these allegedly objective methods ultimately rely on subjective estimation and evaluation of different types of parameters. This has implications for my second point which relates to uncertainty quantification-an assessment of the degree of uncertainty present in a particular modelling scenario. I argue that while this practice also involves subjective elements, in no way does that detract from its status as an epistemic exercise. Finally I discuss the relation between accuracy and uncertainty and how each relates to judgements that embody social/ethical/political concerns, in particular those associated with high consequence systems. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Erkenntnis is a copyright of Springer, 2014. All Rights Reserved. item: Erkenntnis holder: Springer Nature dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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