ERIC Number: EJ849128
Record Type: Journal
Publication Date: 2007-May
Abstractor: As Provided
Reference Count: 52
Learning Overhypotheses with Hierarchical Bayesian Models
Kemp, Charles; Perfors, Amy; Tenenbaum, Joshua B.
Developmental Science, v10 n3 p307-321 May 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 overhypotheses--overhypotheses about feature variability (e.g. the shape bias in word learning) and overhypotheses about the grouping of categories into ontological kinds like objects and substances.
Descriptors: Bayesian Statistics, Logical Thinking, Models, Statistical Analysis, Statistics, Hypothesis Testing
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
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