What Is Free Energy Principle

The free energy principle is reportedly a mathematical principle of information physics that suggests the brain reduces surprise or uncertainty by making predictions based on internal models and uses sensory input to update its models, integrating Bayesian inference with active inference. The free energy principle is related to concepts such as predictive coding and variational inference, which are used to model the brain's internal workings. By understanding the free energy principle, researchers can gain insights into the neural mechanisms underlying perception, action, and cognition, and its potential applications in fields like neuroscience and artificial intelligence.