Learning physical parameters from dynamic scenes

Humans acquire their most basic physical concepts early in development, and continue to enrich and expand their intuitive physics throughout life as they are exposed to more and varied dynamical environments. We introduce a hierarchical Bayesian framework to explain how people can learn physical par...

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Bibliographic Details
Main Authors: Ullman, Tomer D. (Author), Stuhlmüller, Andreas (Author), Goodman, Noah D. (Author), Tenenbaum, Joshua B. (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2020-05-01T13:44:01Z.
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