Theory Acquisition as Stochastic Search
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. Our algorithm performs stochastic search at two levels of abstrac...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Cognitive Science Society, Inc.
2012
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| Online Access: | http://hdl.handle.net/1721.1/71254 https://orcid.org/0000-0002-1925-2035 https://orcid.org/0000-0003-1722-2382 |