Learning measurement models for unobserved variables (2003)

by V Slaughter, A Gopnik
Venue:Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence, AAAI Press
Add To MetaCart
Results 1 - 1 of 1

A brand new ball game: Bayes net and neural net learning mechanisms in young children

by Alison Gopnik, et al.
"... We outline a new computational account of learning in children using the causal Bayes net formalism. We also present evidence that children as young as two years old use something like causal Bayes net learning mechanisms to infer the causal structure of the world around them. This kind of learning ..."
Abstract - Add to MetaCart
We outline a new computational account of learning in children using the causal Bayes net formalism. We also present evidence that children as young as two years old use something like causal Bayes net learning mechanisms to infer the causal structure of the world around them. This kind of learning may play an important role in the development of intuitive theories. Finally we contrast causal Bayes net and neural net learning mechanisms.