Conference Proceedings
Bayesian belief polarization
A Jern, KMK Chang, C Kemp
Advances in Neural Information Processing Systems 22 Proceedings of the 2009 Conference | Published : 2009
Abstract
Empirical studies have documented cases of belief polarization, where two people with opposing prior beliefs both strengthen their beliefs after observing the same evidence. Belief polarization is frequently offered as evidence of human irrationality, but we demonstrate that this phenomenon is consistent with a fully Bayesian approach to belief revision. Simulation results indicate that belief polarization is not only possible but relatively common within the set of Bayesian models that we consider.