Bayesian models of perception and action: an introduction

By:

Ma, Wei Ji

Contributor(s):

Publication details: Cambridge, Massachusetts: The MIT Press, 2023.Description: xiii, 382p.: col., ill.; hbk.: 26cmISBN:

9780262047593

Subject(s):

DDC classification:

150.1519542 MAW

Summary: An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action. Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners. • Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience • Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts • Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics • Written by leaders in the field of computational approaches to mind and brain https://mitpress.mit.edu/9780262047593/bayesian-models-of-perception-and-action/

List(s) this item appears in: Cognitive Science

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	150.1519542 MAW (Browse shelf(Opens below))	1	Available	034615

Includes bibliography, and index.

An accessible introduction to constructing and interpreting Bayesian models of perceptual decision-making and action.

Many forms of perception and action can be mathematically modeled as probabilistic—or Bayesian—inference, a method used to draw conclusions from uncertain evidence. According to these models, the human mind behaves like a capable data scientist or crime scene investigator when dealing with noisy and ambiguous data. This textbook provides an approachable introduction to constructing and reasoning with probabilistic models of perceptual decision-making and action. Featuring extensive examples and illustrations, Bayesian Models of Perception and Action is the first textbook to teach this widely used computational framework to beginners.

• Introduces Bayesian models of perception and action, which are central to cognitive science and neuroscience
• Beginner-friendly pedagogy includes intuitive examples, daily life illustrations, and gradual progression of complex concepts
• Broad appeal for students across psychology, neuroscience, cognitive science, linguistics, and mathematics
• Written by leaders in the field of computational approaches to mind and brain

https://mitpress.mit.edu/9780262047593/bayesian-models-of-perception-and-action/

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