Bayesian Models of the Mind

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.

List 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.

Summary

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.

Foreword

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

Product details

• Authors: Michael Rescorla, Michael (University of California Rescorla
• Publisher: Cambridge University Press ELT
• Languages: English
• Product format: Hardback
• Released: 31.12.2024
• EAN: 9781009517805
• ISBN: 978-1-0-0951780-5
• No. of pages: 108
• Series: Elements in Philosophy of Mind
• Subjects: Humanities, art, music > Philosophy > General, dictionaries; Non-fiction book > Philosophy, religion > Philosophy: general, reference works; PHILOSOPHY / Mind & Body, Philosophy of Mind, Cognitive studies, Probability and statistics, Decision theory: general