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

We conduct a laboratory experiment and provide evidence of learning spillovers within and across equivalence classes of … “structurally similar” games. These spillovers are inconsistent with existing theories of learning in games. …

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 …

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 …

suggests a trade-off of using coarser versus finer representations of the strategy set when it comes to learning. …

suggests a trade-off of using coarser versus finer representations of the strategy set when it comes to learning. …

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. …