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Bayesian Models of the Mind

Bayesian Models of the Mind

Bayesian Models of the Mind

Michael Rescorla, University of California, Los Angeles
January 2025
Paperback
9781108958295
$22.00
USD
Paperback
USD
Hardback

    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.

    Product details

    January 2025
    Paperback
    9781108958295
    108 pages
    229 × 152 × 6 mm
    0.188kg
    Not yet published - available from February 2025

    Table of Contents

    • 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.