Bayesian Belief Polarization
Abstract
Situations in which people with opposing prior beliefs observe the same evidence and then strengthen those existing beliefs are frequently offered as evidence of human irrationality. This phenomenon, termed belief polarization, is typically assumed to be non-normative. We demonstrate, however, that a variety of cases of belief polarization are consistent with a Bayesian approach to belief revision. Simulation results indicate that belief polarization is not only possible but relatively common within the class of Bayesian models that we consider.
Cite
Text
Jern et al. "Bayesian Belief Polarization." Neural Information Processing Systems, 2009.Markdown
[Jern et al. "Bayesian Belief Polarization." Neural Information Processing Systems, 2009.](https://mlanthology.org/neurips/2009/jern2009neurips-bayesian/)BibTeX
@inproceedings{jern2009neurips-bayesian,
title = {{Bayesian Belief Polarization}},
author = {Jern, Alan and Chang, Kai-min and Kemp, Charles},
booktitle = {Neural Information Processing Systems},
year = {2009},
pages = {853-861},
url = {https://mlanthology.org/neurips/2009/jern2009neurips-bayesian/}
}