What Is Free Energy Principle | Vibepedia

The free energy principle is 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, approximating an integration of [[bayesian-inference|Bayesian inference]] with [[active-inference|active inference]]. The free energy principle has been influential in the fields of [[neuroscience|neuroscience]] and [[artificial-intelligence|artificial intelligence]], with applications in [[machine-learning|machine learning]] and [[cognitive-science|cognitive science]]. However, its applicability to living systems has been questioned by some researchers, including [[daniel-dennett|Daniel Dennett]], who argue that the principle oversimplifies the complexity of biological systems.