Active Inference, The Learn Arc — Part 18: Session §2.4 — Action as Inference, the Flip That Sets Up Chapter 3

1. 1Read Chapter 2 of The Learn Arc to understand the basics of Active Inference
2. 2Apply the concept of action as inference to a simple problem, like controlling a robot arm
3. 3Use Bayesian inference to model the uncertainty in the system
4. 4Implement a basic Active Inference algorithm using a probabilistic programming language like PyMC3
5. 5Test the algorithm on a simulated environment to evaluate its performance

AI researchers and engineers can benefit from understanding Active Inference to improve their models and algorithms, while data scientists can apply these concepts to real-world problems

💡 Active Inference provides a unified framework for perception, action, and learning by treating action as inference

💡 Active Inference treats action as inference, flipping the traditional approach. Learn more in Chapter 2 of The Learn Arc!