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Kemp, Charles; Perfors, Amy; Tenenbaum, Joshua B. – Developmental Science, 2007
Inductive learning is impossible without overhypotheses, or constraints on the hypotheses considered by the learner. Some of these overhypotheses must be innate, but we suggest that hierarchical Bayesian models can help to explain how the rest are acquired. To illustrate this claim, we develop models that acquire two kinds of…
Descriptors: Bayesian Statistics, Logical Thinking, Models, Statistical Analysis
Diesendruck, Gil; Markson, Lori; Akhtar, Nameera; Reudor, Ayelet – Developmental Science, 2004
Seventy-two 2-year-olds participated in a study designed to test two competing accounts of the effect of contextual change on children's ability to learn a word for an object. The mechanistic account hypothesizes that any change in context that highlights a target object will lead to word learning; the social-pragmatic account maintains that a…
Descriptors: Toddlers, Intention, Child Development, Context Effect

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