Idealization and the Aims of Science

By Angela Potochnik. 2017

267 citations recorded by the source corpus.

Subfields: Global and Planetary Change, History and Philosophy of Science, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/838c3fd8b02e0e37dae864383dc869607315f67d

Citations in the corpus

• The explanation game: a formal framework for interpretable machine learning (2020, unknown): “Potochnik (2017) makes a compelling case that idealisations are essential to scientific practice, enabling humans to represent and manipulate systems of incomprehensible complexity.”