Inferring Subjective Prior Knowledge: An Integrative Bayesian Approach

Abstract

The standard approach to Bayesian models of Cognition (also known as rational models) requires researchers to make strong assumptions about people’s prior beliefs. For example, it is often assumed that people’s subjective knowledge is best represented by “true” environmental data. We show that an integrative Bayesian approach—combining Bayesian cognitive models with Bayesian data analysis—allows us to relax this assumption. We demonstrate how this approach can be used to estimate people’s subjective prior beliefs based on their responses in a prediction task.


Back to Table of Contents