Fundamentals of Active Inference : Principles, Algorithms, and Applications of the Free Energy Principle for Engineers
Book Details
Format
Hardback or Cased Book
ISBN-10
0262050951
ISBN-13
9780262050951
Publisher
MIT Press Ltd
Imprint
MIT Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Mar 17th, 2026
Print length
644 Pages
Weight
567 grams
Product Classification:
Digital and Information technology: general topicsInformation technology: general issues
Ksh 33,300.00
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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 explains the general statistical framework used in active inference models and then introduces fundamental concepts in machine learning and statistics, connecting them to the active inference perspective. Featuring worked examples, simulations, and detailed walk-throughs of concepts, this user-friendly text aims to expand the readership of active inference to 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 explains the general statistical framework used in active inference models and then introduces fundamental concepts in machine learning and statistics, connecting them to the active inference perspective. Featuring worked examples, simulations, and detailed walk-throughs of concepts, this user-friendly text aims to expand the readership of active inference to an engineering-focused audience.
- Provides a one-stop-shop for understanding the foundations and applications of active inference and the free energy principle
- Makes a complex, interdisciplinary subject accessible to students and professionals beyond the neurosciences
- Covers discrete and continuous state-space formulations of active inference as well as state-of-the-art extensions to base active inference methods
- Features extensive appendices and supplemental resources
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