decisions. This paper experimentally investigates how the decision making quality of an agent's opponent impacts learning …-by-doing (LBD) and learning-by-observing (LBO) in a 2-player strategic game. Specifically, does LBD become more effective when …

Rule learning posits that decision makers, rather than choosing over actions, choose over behavioral rules with …. Past works on rule learning have shown that when playing a single game over a number of rounds, players can learn to form … sophisticated beliefs about others. Here we are interested in learning that occurs between games where the set of actions is not …

This paper experimentally investigates the nature of impulses in impulse learning. Particularly, we analyze whether …

learning. In repeat-choice situations, such learning brings value. If probabilities appear favorable (unfavorable), a choice …, decision makers often prove to be blind to the learning opportunities offered by uncertain probabilities. They forgo …, many make choices contrary to learning. Priming with optimal strategies offers little improvement. Such decision makers …

How do people learn? We assess, in a model-free manner, subjectsʼ belief dynamics in a two-armed bandit learning … unsuccessful choices, than “update up” following successful choices. The profits from following the estimated learning and decision …-rational Bayesian learning model, but comparable to the profits from alternative non-Bayesian learning models, including reinforcement …

information games of varying complexity. We call this discovery experience Eureka Learning. We use a change-point analysis to …

realistic assumption of boundedly rational learning where agents are assumed to use only a limited set of information to form …