Authors
Wendy Parker
Virginia Tech
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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DOI 10.1080/02698590802496722
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References found in this work BETA

Representing and Intervening.Ian Hacking - 1984 - 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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Citations of this work BETA

Are Computer Simulations Experiments? And If Not, How Are They Related to Each Other?Claus Beisbart - 2018 - European Journal for Philosophy of Science 8 (2):171-204.
Computer Simulations in Science.Eric Winsberg - forthcoming - Stanford Encyclopedia of Philosophy.
Computer Simulation and the Philosophy of Science.Eric Winsberg - 2009 - Philosophy Compass 4 (5):835-845.
Scientific Method.Brian Hepburn & Hanne Andersen - 2015 - Stanford Encyclopedia of Philosophy.

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