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  Learning list concepts through program induction

Rule, J., Schulz, E., Piantadosi, S., & Tenenbaum, J. (2019). Learning list concepts through program induction. In 40th Annual Cognitive Science Society Meeting (CogSci 2018): Changing / Minds (pp. 2370-2375). Red Hook, NY, USA: Curran.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-B379-8 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-B3E5-D
Genre: Conference Paper

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https://cogsci.mindmodeling.org/2018/papers/0453/0453.pdf (Publisher version)
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 Creators:
Rule, J, Author
Schulz, E1, Author           
Piantadosi, S, Author
Tenenbaum, J, Author
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1External Organizations, ou_persistent22              

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 Abstract: Humans master complex systems of interrelated concepts like mathematics and natural language. Previous work suggests learning these systems relies on iteratively and directly revising a language-like conceptual representation. We introduce and assess a novel concept learning paradigm called Martha's Magical Machines that captures complex relationships between concepts. We model human concept learning in this paradigm as a search in the space of term rewriting systems, previously developed as an abstract model of computation. Our model accurately predicts that participants learn some transformations more easily than others and that they learn harder concepts more easily using a bootstrapping curriculum focused on their compositional parts. Our results suggest that term rewriting systems may be a useful model of human conceptual representations.

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 Dates: 2018-072019-01
 Publication Status: Issued
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Title: 40th Annual Cognitive Science Society Meeting (CogSci 2018)
Place of Event: Madison, WI, USA
Start-/End Date: 2018-07-25 - 2018-07-28

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Title: 40th Annual Cognitive Science Society Meeting (CogSci 2018): Changing / Minds
Source Genre: Proceedings
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Publ. Info: Red Hook, NY, USA : Curran
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 2370 - 2375 Identifier: ISBN: 978-1-5108-7205-9