Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory

@article{Tauber2017BayesianMO,
  title={Bayesian Models of Cognition Revisited: Setting Optimality Aside and Letting Data Drive Psychological Theory},
  author={Sean Tauber and Daniel J. Navarro and Amy Perfors and Mark Steyvers},
  journal={Psychological Review},
  year={2017},
  volume={124},
  pages={410–441}
}
Recent debates in the psychological literature have raised questions about the assumptions that underpin Bayesian models of cognition and what inferences they license about human cognition. In this paper we revisit this topic, arguing that there are 2 qualitatively different ways in which a Bayesian model could be constructed. The most common approach uses a Bayesian model as a normative standard upon which to license a claim about optimality. In the alternative approach, a descriptive Bayesian… 

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