This paper studies the interaction between coordination and social learning in a dynamic regime change game. Social … learning provides public information, to which players overreact due to the coordination motive. Coordination affects the …

learning process of individuals with different preference types (more and less pro-social) and coarse information regarding the …

We study learning in finitely repeated 2x2 normal form games, when players have incomplete information about their … opponents' payoffs. In a laboratory experiment we investigate whether players (a) learn the game they are playing, (b) learn to … results show that the success in learning the opponent's type depends on the characteristics of the true game. The learning …

the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning … rule to implement such locally Bayesian learning: each agent extracts new information using the full history of observed …

several well-known learning processes in the minority game with an arbitrary odd number of players. Interestingly, different … learning processes provide considerably different predictions …

Learning is crucial to organizational decision making but often needs to be delegated. We examine a dynamic delegation … the principal, privately learns the profitability over time and communicates to the principal. We formulate learning … delegation as a dynamic mechanism design problem and characterize the optimal delegation scheme. We show that private learning …

multiplex network who deal with coordination issues using social learning and payoff-driven dynamics. Agents form their … heterogeneous preference through learning on one layer and they play a pure coordination game on the other layer. People learn from …. We find that the presence of the social learning mechanism explains the rising and the endurance of a segregated society …

the (possibly misspecified) prior belief that her local network is the entire network. We present a tractable learning … rule to implement such locally Bayesian learning: each agent extracts new information using the full history of observed …

While payoff-based learning models are almost exclusively devised for finite action games, where players can test every … action, it is harder to design such learning processes for continuous games. We construct a stochastic learning rule …

Equilibrium notions for games with unawareness in the literature cannot be interpreted as steady-states of a learning … interpreted as steady-state of both a discovery and learning process. …