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Jan, 2025
从机器学习角度解读普特南的批判性与解释性倾向
Putnam's Critical and Explanatory Tendencies Interpreted from a Machine Learning Perspective
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Sheldon Z. Soudin
TL;DR
本文解决了科学理论选择中的关键问题，特别是在普特南的批判性与解释性倾向的区分上。通过机器学习的视角，作者提出了一种新的理解框架，认为这两种倾向是相辅相成的。最终发现，机器学习模型能够为科学辩论带来新的启示，并促进理论选择的理解。
Abstract
Making sense of theory choice in normal and across extraordinary science is central to
Philosophy of Science
. The emergence of
Machine Learning
models has the potential to act as a wrench in the gears of current
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