Beliefs are a fundamental component of our daily decisions, and as such, beliefs about our health have a huge impact on our health behaviors. Poor medication adherence is a well-documented problem and while it has been extensively researched, it has yet to be addressed using a Bayesian framework. This study aims to use a mixture model to understand belief updating as it affects decision making. Using an established experimental paradigm in categorical perception, we test memory and prediction

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... order to establish a model that can explain human belief updating. Results indicate that a mixture model provides a good explanation of participant behavior in this paradigm.