Don't trust Fodor's guide in Monte Carlo: Learning concepts by hypothesis testing without circularity

Mind and Language 38 (2):355-373 (2023)
  Copy   BIBTEX

Abstract

Fodor argued that learning a concept by hypothesis testing would involve an impossible circularity. I show that Fodor's argument implicitly relies on the assumption that actually φ-ing entails an ability to φ. But this assumption is false in cases of φ-ing by luck, and just such luck is involved in testing hypotheses with the kinds of generative random sampling methods that many cognitive scientists take our minds to use. Concepts thus can be learned by hypothesis testing without circularity, and it is plausible that this is how humans in fact acquire at least some of their concepts.

Author's Profile

Michael Deigan
Freie Universität Berlin

Analytics

Added to PP
2022-01-19

Downloads
349 (#45,795)

6 months
91 (#42,371)

Historical graph of downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.
How can I increase my downloads?