Paper Review: Bayes, Bounds, and Rational Analysis

Bayesian learning and decision theory (arguably) characterize rationality for idealized agents. However, carrying out Bayesian calculations can often be costly. In particular, the kind of agent one is--whether a human, lizard, or computer--constrains the kind of information processing one can do. This gestures towards a question: what is the relationship between idealized rationality and rationality… Continue reading Paper Review: Bayes, Bounds, and Rational Analysis