Philosophy through Machine Learning

被引：1
|
作者：
Lim, Daniel [1 ]
机构：
[1] Duke Kunshan Univ, Philosophy, Suzhou, Peoples R China
来源：
TEACHING PHILOSOPHY | 2020年 / 43卷 / 01期
关键词：
D O I：
10.5840/teachphil202018116
中图分类号：
B [哲学、宗教];
学科分类号：
01 ; 0101 ;
摘要：
In a previous article (2019), I motivated and defended the idea of teaching philosophy through computer science. In this article, I will further develop this idea and discuss how machine learning can be used for pedagogical purposes because of its tight affinity with philosophical issues surrounding induction. To this end, I will discuss three areas of significant overlap: (i) good / bad data and David Hume's so-called Problem of Induction, (ii) validation and accommodation vs. prediction in scientific theory selection and (iii) feature engineering and Nelson Goodman's so-called New Riddle of Induction.
引用
收藏
页码：29 / 46
页数：18
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