This paper provides a formal characterization of the process of rational learning in social networks. Agents receive … rational learning leads to global consensus, local indifference and local disagreement are characterized. In the general … setting considered, rational learning can lead to pairs of neighbors selecting different actions once learning ends, while not …

This paper provides a formal characterization of the process of rational learning in social networks. Agents receive … rational learning leads to global consensus, local indifference and local disagreement are characterized. In the general … setting considered, rational learning can lead to pairs of neighbors selecting different actions once learning ends, while not …

This paper provides a formal characterization of the process of rational learning in social networks. Agents receive … rational learning leads to global consensus, local indifference and local disagreement are characterized. In the general … setting considered, rational learning can lead to pairs of neighbors selecting different actions once learning ends, while not …

We analyze boundedly rational learning in social networks within binary action environments. We establish how learning … induces learning (i.e., convergence to the optimal action for every agent in every connected network) only in highly … asymmetric environments. In all other environments learning fails in networks with a diameter larger than four. Finally, we …