Proceedings of the Philosophy of Science Association 2001 (3):S442- (2001)
AbstractUsing an example of a computer simulation of the convective structure of a red giant star, this paper argues that simulation is a rich inferential process, and not simply a "number crunching" technique. The scientific practice of simulation, moreover, poses some interesting and challenging epistemological and methodological issues for the philosophy of science. I will also argue that these challenges would be best addressed by a philosophy of science that places less emphasis on the representational capacity of theories (and ascribes that capacity instead to models) and more emphasis on the role of theory in guiding (rather than determining) the construction of models
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References found in this work
Models as Mediators: Perspectives on Natural and Social Science.Mary S. Morgan & Margaret Morrison (eds.) - 1999 - Cambridge University Press.
The Structure of Scientific Theories.Frederick Suppe (ed.) - 1974 - Urbana, University of Illinois Press.
Models of Data.Patrick Suppes - 1962 - In Ernest Nagel, Patrick Suppes & Alfred Tarski (eds.), Logic, Methodology and Philosophy of Science Proceedings of the 1960 International Congress.
Citations of this work
The Philosophy of Simulation: Hot New Issues or Same Old Stew?Roman Frigg & Julian Reiss - 2009 - Synthese 169 (3):593-613.
Simulated Experiments: Methodology for a Virtual World.Winsberg Eric - 2003 - Philosophy of Science 70 (1):105-125.
Holism, Entrenchment, and the Future of Climate Model Pluralism.Johannes Lenhard & Eric Winsberg - 2010 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 41 (3):253-262.
Computer Simulations as Experiments.Anouk Barberousse, Sara Franceschelli & Cyrille Imbert - 2009 - Synthese 169 (3):557 - 574.
How Can Computer Simulations Produce New Knowledge?Claus Beisbart - 2012 - European Journal for Philosophy of Science 2 (3):395-434.
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