opportunities to identify learning rules, since on networks (compared to, e.g., random matching) more rules differ in terms of their … information they consult before making their choices. We use these data to estimate learning types using finite mixture models … find that learning depends on network position. Participants in more complex environments (with more network neighbors …

-of-mouth social learning (in the form of advice from laboratory “parents” to laboratory “children”) can be a strong force in the … creation of social conventions, far stronger than the type of learning subjects seem capable of doing simply by learning the …

are also able to learn structural properties of the games. -- Game Theory ; Learning ; Extrapolation …We study extrapolation between games in a laboratory experiment. Participants in our experiment first play either the …

reinforcement learning models than with belief-based models. Showing level-2 rationality (i.e., reasoning about others' beliefs) is … process level to the validity of modeling behavior using low-rationality reinforcement learning models. …

We study extrapolation between games in a laboratory experiment. Participants in our experiment first play either the …

learning transfers to new games. Current theories of learning model learning as adjustment in behavior in response to feedback … about outcomes and payoffs and largely ignore the possibility that learning may take place in the absence of such feedback … feedback between plays of the game. However, this previous work demonstrates this "no-feedback" learning using a special game …

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 …

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 …