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![]() Notes on show: Original Airdate 5/30/2006 |
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About the Guest Professor Gopnik's research explores how young children come to know about the world around them. The work is informed by the “theory theory” -- the idea that children develop and change intuitive theories of the world in much the way that scientists do. Most recently, she has been concentrating on young children's causal knowledge and causal learning across domains, including physical, biological and psychological knowledge. In collaboration with computer scientists, she is using the Bayes Net formalism to help explain how children are able to learn causal structure from patterns of data, and has demonstrated that young children have much more powerful causal learning mechanisms than was previously supposed.
A complete list of her recent publications is listed here.
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