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McMurray, Bob; Aslin, Richard N.; Toscano, Joseph C. – Developmental Science, 2009
Recent evidence (Maye, Werker & Gerken, 2002) suggests that statistical learning may be an important mechanism for the acquisition of phonetic categories in the infant's native language. We examined the sufficiency of this hypothesis and its implications for development by implementing a statistical learning mechanism in a computational model…
Descriptors: Phonetics, Competition, Statistical Analysis, Infants
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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