Bayesian inference is a fundamental concept underlying the active inference framework, which views living systems as agents that minimize surprise and free energy.

The podcast episodes Dr. Thomas Parr - Active Inference Book and Prof. BERT DE VRIES - ON ACTIVE INFERENCE both explore the relationship between Bayesian inference, variational inference, and the free energy principle in the context of active inference.

These episodes highlight how Bayesian inference is a key component of the active inference approach, which aims to provide a unified framework for understanding agency, biology, causality, modeling, and consciousness.