

#6980
Mentioned in 4 episodes
Active Inference
The Free Energy Principle and Its Applications
Book • 2024
This book, written by Dr. Sanjeev Namjoshi, delves into the Active Inference framework and the Free Energy Principle (FEP).
It explains how these frameworks describe how biological and artificial systems maintain stability by minimizing uncertainty about their environment.
The book covers the theoretical foundations, including Bayesian mechanics and variational free energy minimization, and discusses the practical applications of Active Inference in perception, learning, attention, planning, and decision-making.
It contrasts Active Inference with traditional machine learning approaches, highlighting its natural capacity for exploration and curiosity through epistemic value.
It explains how these frameworks describe how biological and artificial systems maintain stability by minimizing uncertainty about their environment.
The book covers the theoretical foundations, including Bayesian mechanics and variational free energy minimization, and discusses the practical applications of Active Inference in perception, learning, attention, planning, and decision-making.
It contrasts Active Inference with traditional machine learning approaches, highlighting its natural capacity for exploration and curiosity through epistemic value.
Mentioned by
Mentioned in 4 episodes
Mentioned by 

as a book introducing Active Inference from conceptual and mathematical perspectives.


Tim Scarfe

78 snips
Dr. Thomas Parr - Active Inference Book
Mentioned by 

as the author of a book on active inference submitted to MIT press.


Tim Scarfe

46 snips
Dr. Sanjeev Namjoshi - Active Inference
Mentioned by 

as a book applying active inference theory across various disciplines.


Josh Tyson

18 snips
S4E16 How do human brains inform “thinking” machines, with Dr. Thomas Parr
Mentioned by 

when discussing active inference and its relation to the brain as a prediction machine.


Tim Scarfe

Prof. Nick Chater - The Language Game (Part 1)