Projectible predicates in analogue and simulated systems.
We investigate the relationship between two approaches to modeling physical systems. On the first approach, simplifying assumptions are made about the level of detail we choose to represent in a computational simulation with an eye toward tractability. On the second approach simpler, analogue physic...
| Publicado en: | Synthese Vol. 169; no. 3; pp. 465 - 483 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Springer Nature
Aug2009
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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=42120157&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 42120157 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Aug2009 vid: 169 iid: 3 pid: 237 pub: Springer Nature artinfo: ui: 42120157 10.1007/s11229-008-9433-4 ppf: 465 ppct: 18 formats: fmt: @attributes: type: P size: 226KB tig: atl: Projectible predicates in analogue and simulated systems. aug: au: Mattingly, James Warwick, Walter affil: Philosophy Department, 221 New North, Georgetown University, 3700 O Street, NW, Washington, DC 20057, USA Micro Analysis & Design, Boulder CO, USA su: Simulation methods & models Computer simulation Mathematical models Models & modelmaking Computer science sug: subj: Simulation methods & models Computer simulation Mathematical models Models & modelmaking Computer science keyword: Analogue modeling Computational modeling Human performance Theory structure ab: We investigate the relationship between two approaches to modeling physical systems. On the first approach, simplifying assumptions are made about the level of detail we choose to represent in a computational simulation with an eye toward tractability. On the second approach simpler, analogue physical systems are considered that have more or less well-defined connections to systems of interest that are themselves too difficult to probe experimentally. Our interest here is in the connections between the artifacts of modeling that appear in these two approaches. We begin by outlining an important respect in which the two are essentially dissimilar and then propose a method whereby overcoming that dissimilarity by hand results in usefully analogous behavior. We claim that progress can be made if we think of artifacts as clues to the projectible predicates proper to the models themselves. Our degree of control over the connection between interesting analogue physical systems and their targets arises from determining the projectible predicates in the analogue system through a combination of theory and experiment. To obtain a similar degree of control over the connection between large-scale, distributed simulations of complex systems and their targets we must similarly determine the projectible predicates of the simulations themselves. In general theory will be too intractable to be of use, and so we advocate an experimental program for determining these predicates. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2009. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2009 holdings: @attributes: islocal: N |
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