behavioural models suggested by psychology (i.e., weighted probabilities applied to regret and rejoice theory), and by updating … probability estimations and outcome preferences according to the learning models suggested by neuroscience (i.e., adaptive … learning aimed at reducing surprises), and analogous to Bayesian updating. The search context is derived from experimental …

In this paper, we discuss learning behavior and the heterogeneity of subjects' ability to perform in real-effort tasks …. Afterwards, we present a novel variant of Erkal et al.'s (2011) encryption real-effort task which aims to minimize learning …-randomization mechanism to minimize learning and heterogeneity. Existing experiments with repeated real-effort tasks find a performance …

recently considered this distinction, and the conditions that stimulate the latter kind of “meaningful” learning in games are …Psychologists have long recognized two kinds of learning: one that is relatively shallow and domain-specific; and … another that is deeper, producing generalizable insights that transfer across domains. The game theory literature has only …

Does playing a game in class improve students' ability to analyze the game using game theory? We report results from an … experimental design which allows us to test a series of related hypotheses. We fail to find support for the conjectured learning …

We show that in symmetric two-player exact potential games, the simple decision rule "imitate-if-better" cannot be … apply to many interesting games including examples like 2x2 games, Cournot duopoly, price competition, public goods games …, common pool resource games, and minimum effort coordination games. …