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- W2969526026 abstract "Children acquire complex concepts like dog earlier than simple concepts like brown , even though our best neuroscientific theories suggest that learning the former is harder than learning the latter and, thus, should take more time (Markus Werning). This is the complex-first paradox. We present a novel solution to the complex-first paradox. Our solution builds on a generalization of Fei Xu and Joshua B. Tenenbaum’s Bayesian model of word learning. By focusing on a rational theory of concept learning, we show that it is easier to infer the meaning of complex concepts than that of simple concepts." @default.
- W2969526026 created "2019-08-29" @default.
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- W2969526026 date "2020-01-01" @default.
- W2969526026 modified "2023-09-25" @default.
- W2969526026 title "Learning Concepts: A Learning-Theoretic Solution to the Complex-First Paradox" @default.
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- W2969526026 doi "https://doi.org/10.1086/706077" @default.
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