Minds and Machines

, Volume 29, Issue 1, pp 9–17 | Cite as

The Epistemic Importance of Technology in Computer Simulation and Machine Learning

  • Michael ReschEmail author
  • Andreas Kaminski


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.


Computer simulation Machine learning Epistemic opacity Reproducibility Trans-classical technique Trust Reliability 



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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Director of the High-Performance Computing CenterUniversity of StuttgartStuttgartGermany
  2. 2.Department for Philosophy of Science and Technology of Computer Simulation, High-Performance Computing CenterUniversity of StuttgartStuttgartGermany

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