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 …

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

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 …

explosion of social media has significantly increased the scope and impact of social learning among consumers. This paper … studies observational learning in networks of friends versus strangers. A consumer decides whether to adopt a product after …-network becomes more effective. Underlying these results are two competing effects of network heterogeneity on social learning …

collective learning. The present paper provides a summary of this research. …

and analyze knowledge management through Bayesian networks with machine learning techniques, for which a model is made to …