Beyond Boolean logic: exploring representation languages for learning complex concepts

We study concept learning for semantically-motivated, set-theoretic concepts. We first present an experiment in which we show that subjects learn concepts which cannot be represented by a simple Boolean logic. We then present a computational model which is similarly capable of learning these concept...

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Bibliographic Details
Main Authors: Piantadosi, Steven Thomas (Contributor), Tenenbaum, Joshua B (Contributor), Goodman, Noah Daniel (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Cognitive Science Society, 2017-12-20T14:08:38Z.
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