期刊
MINDS AND MACHINES
卷 29, 期 1, 页码 9-17出版社
SPRINGER
DOI: 10.1007/s11023-019-09496-5
关键词
Computer simulation; Machine learning; Epistemic opacity; Reproducibility; Trans-classical technique; Trust; Reliability
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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