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Learning from a simulated universe: the limits of realistic modeling in astrophysics and cosmology.

Ruphy, Stéphanie (2007) Learning from a simulated universe: the limits of realistic modeling in astrophysics and cosmology. In: [2006] Models and Simulations (Paris, 2006).

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    Abstract

    As noticed recently by Winsberg (2003), how computer models and simulations get their epistemic credentials remains in need of epistemological scrutiny. My aim in this paper is to contribute to fill this gap by discussing underappreciated features of simulations (such as “path-dependency” and plasticity) which, I’ll argue, affect their validation. The focus will be on composite modeling of complex real-world systems in astrophysics and cosmology. The analysis leads to a reassessment of the epistemic goals actually achieved by this kind of modeling: I’ll show in particular that its realistic ambition and the possibility of empirical confirmation pull in opposite directions.


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    Item Type: Conference or Workshop Item (UNSPECIFIED)
    Keywords: Computers models and simulations. Realism. Cosmology.
    Subjects: General Issues > Models and Idealization
    Specific Sciences > Physics > Cosmology
    Conferences and Volumes: [2006] Models and Simulations (Paris, 2006)
    Depositing User: Stéphanie Ruphy
    Date Deposited: 27 Sep 2007
    Last Modified: 07 Oct 2010 11:15
    Item ID: 3551
    URI: http://philsci-archive.pitt.edu/id/eprint/3551

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