We investigate learning and the development of the capability to backward induct in children and young adults aged 6 to … differences in learning between age groups and across gender. …

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

Adaptive learning and punishment are highly prominent competing explanations for ultimatum game behavior. We report on … way. Our data exhibits patterns for which punishment can account but learning by itself cannot. Initial play varies …

equilibrium of the game does not organize the individual data, two individual learning models are studied: one following a … predictive value of such learning models is found to be poor. …

number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious … play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those … and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was …

number of standard learning algorithms. The learning theories are (unbeknown to subjects) a best response process, fictitious … play, imitation, reinforcement learning, and a trial & error process. We test whether subjects try to influence those … and that all learning algorithms are subject to exploitation with the notable exception of imitation. The experiment was …

estimated EWA learning models which suffered from overfitting. Subjects modified their strategies in the direction of better … response as calculated from CA simulations of various learning models, albeit not perfectly. Examples include the observation …