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...
Main Authors: | Piantadosi, Steven Thomas, Tenenbaum, Joshua B, Goodman, Noah Daniel |
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Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences |
Format: | Article |
Published: |
Cognitive Science Society
2017
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Online Access: | http://hdl.handle.net/1721.1/112815 https://orcid.org/0000-0002-1925-2035 |
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