Bayesian models of the mind / Michael Rescorla.

Format:

Book

Author/Creator:

Rescorla, Michael Arthur, author.

Series:

Cambridge elements. Elements in philosophy of mind, 2633-9080.

Cambridge elements. Elements in philosophy of mind, 2633-9080

Language:

English

Subjects (All):

Cognitive science.

Cognition.

Cognitive psychology.

Physical Description:

1 online resource (108 pages) : digital, PDF file(s).

Edition:

First edition.

Place of Publication:

Cambridge : Cambridge University Press, 2024.

Summary:

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.

Notes:

Title from publisher's bibliographic system (viewed on 24 Jan 2025).

Includes bibliographical references.

ISBN:

9781108962704

110896270X

9781108962506

1108962505

9781108955973

1108955975