Computer simulation and the features of novel empirical data

Studies in History and Philosophy of Science Part A 56:145-152 (2016)
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Abstract

In an attempt to determine the epistemic status of computer simulation results, philosophers of science have recently explored the similarities and differences between computer simulations and experiments. One question that arises is whether and, if so, when, simulation results constitute novel empirical data. It is often supposed that computer simulation results could never be empirical or novel because simulations never interact with their targets, and cannot go beyond their programming. This paper argues against this position by examining whether, and under what conditions, the features of empiricality and novelty could be displayed by computer simulation data. I show that, to the extent that certain familiar measurement results have these features, so can some computer simulation results.

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Citations of this work

Measurement in Science.Eran Tal - 2015 - Stanford Encyclopedia of Philosophy.
When is an Ensemble like a Sample?Corey Dethier - 2022 - Synthese 200 (52):1-22.
Computer Simulation, Experiment, and Novelty.Julie Jebeile - 2017 - International Studies in the Philosophy of Science 31 (4):379-395.

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References found in this work

Science in the age of computer simulation.Eric Winsberg - 2010 - Chicago: University of Chicago Press.
Scientific Representation: Paradoxes of Perspective.Bas C. Van Fraassen - 2008 - Oxford, GB: Oxford University Press UK.
Saving the phenomena.James Bogen & James Woodward - 1988 - Philosophical Review 97 (3):303-352.

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