Bayesian models of cognition explain aspects of human behavior as a result of rational probabilistic inference. In particular, these models make use of Bayes’ rule, which indicates how rational agents should update their beliefs about hypotheses in light of data. Bayes’ rule provides an optimal solution to inductive problems for which the observed data are insufficient to distinguish between hypotheses. Since many of the things that human minds need to do involve inductive problems–—f...
