The Epistemic Importance of Technology in Computer Simulation and Machine Learning

Minds and Machines 29 (1):1-9 (2019)
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Abstract

Scientificity is essentially methodology. The use of information technology as methodological instruments in science has been increasing for decades, this raises the question: Does this transform science? This question is the subject of the Special Issue in Minds and Machines “The epistemological significance of methods in computer simulation and machine learning”. We show that there is a technological change in this area that has three methodological and epistemic consequences: methodological opacity, reproducibility issues, and altered forms of justification.

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Andreas Kaminski
High-Performance Computing Center (HLRS), University Of Stuttgart

References found in this work

The Logic of Scientific Discovery.Karl Popper - 1959 - Studia Logica 9:262-265.
Testimony: A Philosophical Study.C. A. J. Coady - 1992 - Oxford, England: Oxford University Press.
The Logic of Scientific Discovery.K. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):55-57.

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