Exploring the Depths of Self and World Models

The chapter delves into the intricate concepts of world and self models in active inference, emphasizing generative, probabilistic, and causal models. It discusses the optimization of models to balance accuracy and complexity, touching on E-cogniche models and meta-cognition. The conversation navigates the computational complexity of meta-cognition and delves into the unknown utility of enhancing an agent's survival through meta-cognition.