Social Learning: Bayesian Updating in Networks

Agents observe neighbors' actions and update beliefs via Bayes' rule: P(θ|a)∝P(a|θ)·P(θ). Watch rational cascades, herding, and information aggregation in action.

Agents 40

Signal Quality 0.70

Network Density 0.15

Round: 0 | Correct: 0% | Herding: 0%

Blue=believe θ=1, Red=believe θ=0. True state θ shown in title. Agents act based on private signal + social observation. Herding occurs when social info overwhelms private signals.