A segue into information theory

Information theory may be useful for understanding active inference. As a minimum it offers some alternative perspectives on the quantities used in the active inference theory such as surprise, KL divergence, and entropy. This post provides a very short introduction to information theory.

Active inference lecture notes

I have set out to gain some insights into the active inference theory that provides a unified framework for perception, learning, decision making, and action. I will share my “lecture notes” combined with my own comments in this and future posts. My focus is on the mathematical models and the necessary algorithms.

Four Yorkshiremen

We must either live a little more like the hunter-gatherers or reprogram our genes. Reprogramming genes is still a risky proposition so our only option today is to change our lifestyle.