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.

中文翻译：

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技术在计算机模拟和机器学习中的认识重要性

科学性本质上是方法论。几十年来，信息技术作为科学方法论工具的使用一直在增加，这提出了一个问题：这是否改变了科学？这个问题是心灵与机器特刊“计算机模拟和机器学习方法的认识论意义”的主题。我们表明，该领域的技术变革具有三种方法论和认识论后果：方法论不透明、可重复性问题和证明形式的改变。