Bayesian approaches to associative learning: From passive to active learning

The first part of this article reviews two Bayesian accounts of backward blocking, a phenomenon that is challenging for many traditional theories and focuses on two formalizations of optimal active learning: maximizing either the expected information gain or the probability gain.