Bayesian Models of the Mind

Préface
This Element explores what we can learn about the mind from the Bayesian models offered by cognitive scientists.

Texte du rabat

Bayesian decision theory is a mathematical framework used by cognitive scientists to model reasoning and decision-making under uncertain conditions. It has been used to describe the human mind, revealing mental processes like perception, motor control, and navigation. This Element provides an introduction to Bayesian cognitive science.

Résumé
Bayesian decision theory is a mathematical framework that models reasoning and decision-making under uncertain conditions. The Bayesian paradigm originated as a theory of how people should operate, not a theory of how they actually operate. Nevertheless, cognitive scientists increasingly use it to describe the actual workings of the human mind. Over the past few decades, cognitive science has produced impressive Bayesian models of mental activity. The models postulate that certain mental processes conform, or approximately conform, to Bayesian norms. Bayesian models offered within cognitive science have illuminated numerous mental phenomena, such as perception, motor control, and navigation. This Element provides a self-contained introduction to the foundations of Bayesian cognitive science. It then explores what we can learn about the mind from Bayesian models offered by cognitive scientists.

Contenu

1. Introduction; 2. The probability calculus; 3. Bayesian decision theory; 4. Bayesian cognitive science; 5. Realism and instrumentalism; 6. Mental representation; 7. Anti-representationalism; 8. Conclusion; 9. Appendix: Foundations of probability theory.