David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Philosophy of Science 74 (2):176-194 (2007)
The goal of the present article is to contribute to the epistemology and methodology of computer simulations. The central thesis is that the process of simulation modeling takes the form of an explorative cooperation between experimenting and modeling. This characteristic mode of modeling turns simulations into autonomous mediators in a specific way; namely, it makes it possible for the phenomena and the data to exert a direct influence on the model. The argumentation will be illustrated by a case study of the general circulation models of meteorology, the major simulation models in climate research.
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Citations of this work BETA
Gregor Betz (2009). Underdetermination, Model-Ensembles and Surprises: On the Epistemology of Scenario-Analysis in Climatology. [REVIEW] Journal for General Philosophy of Science 40 (1):3 - 21.
Claus Beisbart (2012). How Can Computer Simulations Produce New Knowledge? European Journal for Philosophy of Science 2 (3):395-434.
Miles MacLeod & Nancy J. Nersessian (2013). Building Simulations From the Ground Up: Modeling and Theory in Systems Biology. Philosophy of Science 80 (4):533-556.
Michael T. Stuart (2014). Cognitive Science and Thought Experiments: A Refutation of Paul Thagard's Skepticism. Perspectives on Science 22 (2):264-287.
Martin Carrier (2014). Prediction in Context: On the Comparative Epistemic Merit of Predictive Success. Studies in History and Philosophy of Science Part A 45:97-102.
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