We study to what extent information aggregation in social learning environments is robust to slight misperceptions of … the agents' learning environment …

We study evolutionary learning processes through social networks. We show that network heterogeneity, in particular … scale-freeness, enhances social learning by studying a model in which an agent set on a network imitates the strategy only … who plays with whom) or the heterogeneity of the learning network (which determines who learns from whom) that enhances …

We develop a dynamic model of opinion formation in social networks when the information required for learning a payoff … though the neighbors’ views may be quite inaccurate). This non-Bayesian learning rule is motivated by the formidable …

This paper examines social learning when only one of the two types of decisions is observable. Because agents arrive …, as in the standard model, learning is complete if and only if signals are unbounded. If signals are bounded, cascades may …

The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly … interact in social-learning settings with distinct information structures. In each round of interaction, they use their … behavior in the long-run if and only if individuals distinguish social-learning settings and receive rich feedback after each …

Crowd-sourced recommender platforms organize social learning about products by recommending items based on information … study how market structure affects experimentation, social learning, and welfare. I present a model of competing platforms …

We analyse the dynamics resulting from social learning in a simple general equilibrium (GE) model, whose structure is … social learning. We discuss the robustness of the symmetric optimal equilibrium of this GE model, by testing the ability of … agents to coordinate on it through this learning scheme in the absence of substantive rationality and perfect information …

I present a model of social learning over an exogenous, directed network that may be readily nested within broader …

This paper studies sequential social learning when people learn about others' actions through coarse signals. Agents … learning occurs, i.e., agents eventually learn the truth and take the correct actions. A necessary condition for adequate … learning is that the state-signals can induce unbounded private likelihoods. When private likelihoods are unbounded, adequate …

This paper studies the behavioral foundations of non-Bayesian models of learning over social networks and develops a … agents follow social learning rules that satisfy "imperfect recall", according to which they treat the current beliefs of … the corresponding learning rules (including the canonical model of DeGroot). We then obtain general long-run learning …