Social Learning: Bayesian Belief Updating in Networks

Agents update beliefs about a binary state via private signals and neighbor observations. Rational Bayesian updating can lead to herding (information cascades) where agents ignore their own signal. Network structure determines whether the crowd achieves wisdom or locks in errors.

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Press Run to start. True state is randomly chosen each trial.