Why and how to construct an epistemic justification of machine learning?

IF 1.3 1区哲学 Q1 HISTORY & PHILOSOPHY OF SCIENCE

Synthese Pub Date : 2024-08-10 DOI:10.1007/s11229-024-04702-z

Petr Spelda, Vit Stritecky

引用次数: 0

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为什么以及如何构建机器学习的认识论理由？

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来源期刊

Synthese 管理科学-科学史与科学哲学

CiteScore

3.30

自引率

13.30%

发文量

471

审稿时长

1 months

期刊介绍： Synthese is a philosophy journal focusing on contemporary issues in epistemology, philosophy of science, and related fields. More specifically, we divide our areas of interest into four groups: (1) epistemology, methodology, and philosophy of science, all broadly understood. (2) The foundations of logic and mathematics, where ‘logic’, ‘mathematics’, and ‘foundations’ are all broadly understood. (3) Formal methods in philosophy, including methods connecting philosophy to other academic fields. (4) Issues in ethics and the history and sociology of logic, mathematics, and science that contribute to the contemporary studies Synthese focuses on, as described in (1)-(3) above.