The Epistemic Importance of Technology in Computer Simulation and Machine Learning

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 si...

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Bibliographic Details
Published inMinds and machines (Dordrecht) Vol. 29; no. 1; pp. 9 - 17
Main Authors Resch, Michael, Kaminski, Andreas
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 15.03.2019
Springer Nature B.V
Subjects
Artificial Intelligence
Cognitive Psychology
Computer Science
Computer simulation
Economics
Epistemology
Game Theory
Machine learning
Philosophy of Mind
Philosophy of Science
Reproducibility
Social and Behav. Sciences
Technology utilization
Theory of Computation
Computer simulation
Reproducibility
Trans-classical technique
Machine learning
Reliability
Trust
Epistemic opacity
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Summary: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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ISSN:0924-6495
1572-8641
DOI:10.1007/s11023-019-09496-5