It is known that there are uncoupled learning heuristics leading to Nash equilibrium in all finite games. Why should … players use such learning heuristics and where could they come from? We show that there is no uncoupled learning heuristic …" or that could "learn itself". Rather, a player has an incentive to strategically teach such a learning opponent in order …

learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the …

understand better how subjects with different cognitive abilities learn differently, we estimate a structural model of learning … ability to that of character skills, and find that both cognition and personality affect behavior and learning. More agreeable …

player role, is drawn to play and chooses a pure strategy according to her personal learning rule after observing a sample …

learning, so that inertia in adjustment should fade away with experience. If this finding proves to be robust, inertia in … rules. Notably, refining these rules with similarity-based learning approach improves their predictive power …

learning, so that inertia in adjustment should fade away with experience. If this finding proves to be robust, inertia in … rules. A reformulation of naïve expectations with similarity-based learning approach is found to have a higher predictive …

's play. We investigate the impact of such learning behavior in the context of finitely repeated games. In contrast to related … cooperation is impossible without learning, for instance in a Prisoner's Dilemma, it can be sustained with approximate efficiency … can be “taught” and enforced. When learning is imperfect, the set of sustainable payoffs is not continuous, in the sense …