game theoretic learning paradigm. Eye-tracking is used to observe what information subjects look at in 4x4 normal …-form games; the eye-tracking results favor sophisticated learning over adaptive learning and lend support to anticipatory or … sophisticated models of learning in which subjects look at payoffs of other players to anticipate what those players might do. The …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

correlation across players. For each information structure, we define a simple learning efficiency index, which only considers the … this index characterizes the speed of common learning (Cripps, Ely, Mailath, and Samuelson, 2008): In particular, the speed … individual learning, and does not depend on the correlation across players’ signals. Second, we build on this characterization to …

The novelty of our model is to combine models of collective action on networks with models of social learning. Agents …

are rare. Thus, even in a world of simple learning agents, coordination behavior can take on some surprising forms. …

information is subject to multiplier effects inherent to social learning. We build upon the static case, where all agents receive … dissemination of public information is thus considerably lower than the static case suggests. If the social learning signal is …

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in … neighbors' past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and … networks. Our results also highlight that information about the users' private beliefs and their social network structure can …