Franklin, Holmes, and the epistemology of computer simulation

International Studies in the Philosophy of Science 22 (2):165 – 183 (2008)
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Abstract

Allan Franklin has identified a number of strategies that scientists use to build confidence in experimental results. This paper shows that Franklin's strategies have direct analogues in the context of computer simulation and then suggests that one of his strategies—the so-called 'Sherlock Holmes' strategy—deserves a privileged place within the epistemologies of experiment and simulation. In particular, it is argued that while the successful application of even several of Franklin's other strategies (or their analogues in simulation) may not be sufficient for justified belief in results, the successful application of a slightly elaborated version of the Sherlock Holmes strategy is sufficient.

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Wendy Parker
Virginia Tech

Citations of this work

Computer Simulations in Science.Eric Winsberg - forthcoming - Stanford Encyclopedia of Philosophy.
Experiment in Physics.Allan Franklin - 2012 - In Ed Zalta, Stanford Encyclopedia of Philosophy. Stanford, CA: Stanford Encyclopedia of Philosophy.
Why experiments matter.Arnon Levy & Adrian Currie - 2019 - Inquiry: An Interdisciplinary Journal of Philosophy 62 (9-10):1066-1090.
Scientific method.Brian Hepburn & Hanne Andersen - 2015 - Stanford Encyclopedia of Philosophy.

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References found in this work

Representing and Intervening.Ian Hacking - 1983 - British Journal for the Philosophy of Science 35 (4):381-390.
Representing and Intervening.Ian Hacking - 1987 - Revue de Métaphysique et de Morale 92 (2):279-279.
Error and the growth of experimental knowledge.Deborah Mayo - 1996 - International Studies in the Philosophy of Science 15 (1):455-459.

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