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Don't trust Fodor's guide in Monte Carlo: Learning concepts by hypothesis testing without circularity
Author(s) -
Deigan Michael
Publication year - 2023
Publication title -
mind and language
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.905
H-Index - 68
eISSN - 1468-0017
pISSN - 0268-1064
DOI - 10.1111/mila.12366
Subject(s) - luck , argument (complex analysis) , generative grammar , epistemology , cognitive science , psychology , statistical hypothesis testing , computer science , cognitive psychology , artificial intelligence , philosophy , mathematics , chemistry , biochemistry , statistics
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.

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