There are as many theories about consciousness as there are definitions and the philosophical and scientific community is still far from consensus. This post represents my current understanding.
Most systems have the properties they have because they were designed that way, either by humans or by nature, not because they “emerged”.
Since much or our lives today depend on systems and many of the biggest risks for individuals and for humanity as a whole emanate from systems, it is imperative that we have proper methods and tools to build useful and safe systems.
On Zen and the Art of Motorcycle Maintenance, ISO 9000, quality, and the free energy principle.
In this post I will try to explain how an organism, according to active inference framework, plans actions to minimize free energy, thereby staying alive.
Variational free energy can be expressed in many ways, each with a different but complementary interpretation.
This post illustrates why surprise is an intuitively useful quantity.
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.
In this post we will take a deeper look at how, according to the active inference theory, the brain interprets what it observes.
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.