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 …

This paper presents a non-Bayesian model of social learning in networks in an environment with a finite set of actions …

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

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 …

Social learning often occurs between groups with different levels of experience. Yet little is known about the ideal … novices learning from experienced, a particular form of probabilistic imitation is selected. Novices should imitate any …

We build a model studying the effect of an economy's potential for social learning on the adoption of innovations of … qualitative and quantitative features of the learning environment affect equilibrium adoption dynamics, welfare, and the speed of … learning. Based on this, we show how differences in the learning environment translate into observable differences in adoption …