Fundamentals of Active Inference
Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
$482.13
- Hardcover
644 pages
- Release Date
14 April 2026
Summary
A comprehensive, up-to-date introduction to active inference and the free energy principle for an engineering-focused audience.
This textbook provides comprehensive coverage of the foundational material needed to understand the interdisciplinary, fast-moving field of active inference from first principles. Using a simple, conversational style free of proofs, lemmas, and theorems, Sanjeev Namjoshi brings together theory and technical material in one self-contained text. The book first …
Book Details
| ISBN-13: | 9780262050951 |
|---|---|
| ISBN-10: | 0262050951 |
| Author: | Sanjeev V. Namjoshi |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 644 |
| Release Date: | 14 April 2026 |
| Weight: | 567g |
| Dimensions: | 203mm x 254mm |
You Can Find This Book In
Critics Review
“This is a remarkable book. It is an encyclopedic resource that unpacks everything you always wanted to know about active inference (but were too afraid to ask). It establishes all the foundational concepts and methods that are subsequently applied to furnish an understanding of self-organization through the lens of the free energy principle and active inference. Namjoshi’s forensic, constructive, and didactic approach enables the reader to create a deeply informed and pragmatic account of artificial (and natural) intelligence.”
—Karl J. Friston, Professor of Imaging Neuroscience, University College London; coauthor of Active Inference
Sanjeev V. Namjoshi
Sanjeev V. Namjoshi is a Machine Learning Engineer at VERSES.AI. Over more than a decade in academia and industry, he performed research in bioinformatics and computational neuroscience as well as led teams to build machine learning-based software.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.