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Direct linkUllman, Tomer D.; Goodman, Noah D.; Tenenbaum, Joshua B. – Cognitive Development, 2012
We present an algorithmic model for the development of children's intuitive theories within a hierarchical Bayesian framework, where theories are described as sets of logical laws generated by a probabilistic context-free grammar. We contrast our approach with connectionist and other emergentist approaches to modeling cognitive development. While…
Descriptors: Children, Learning, Child Development, Intuition
