What are the Bayesian constraints in the Bayesian reader? Reply to Norris and Kinoshita (2010)
Jeffrey S. Bowers · The European Journal of Cognitive Psychology · 2010
In this brief reply, I argue that the Bayesian reader can account for any pattern of data (including those not actually observed) because the predictions of the model are largely independent of any Bayesian principles. It is a good thing that the model is flexible, as the implemented model has been falsified by existing data.