Minds and Machines 29 (1):37-60 (2019)

Abstract
What does it mean to trust the results of a computer simulation? This paper argues that trust in simulations should be grounded in empirical evidence, good engineering practice, and established theoretical principles. Without these constraints, computer simulation risks becoming little more than speculation. We argue against two prominent positions in the epistemology of computer simulation and defend a conservative view that emphasizes the difference between the norms governing scientific investigation and those governing ordinary epistemic practices.
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DOI 10.1007/s11023-018-9487-0
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References found in this work BETA

Word and Object.Willard Van Orman Quine - 1960 - Cambridge, MA, USA: MIT Press.
Word and Object.Willard Van Orman Quine - 1960 - Les Etudes Philosophiques 17 (2):278-279.
Content Preservation.Tyler Burge - 1993 - Philosophical Review 102 (4):457-488.
Science in the Age of Computer Simulation.Eric Winsberg - 2010 - University of Chicago Press.

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Citations of this work BETA

Computer Simulations in Science.Eric Winsberg - forthcoming - Stanford Encyclopedia of Philosophy.
What is a Simulation Model?Juan M. Durán - 2020 - Minds and Machines 30 (3):301-323.
Software engineering standards for epidemiological models.Jack K. Horner & John F. Symons - 2020 - History and Philosophy of the Life Sciences 42 (4):1-24.

View all 13 citations / Add more citations

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