Active Inference | Estateplanning | Vibepedia.Network

Active inference is a theoretical framework in neuroscience and machine learning that posits the brain is an inference machine, constantly making predictions about the world and updating them based on sensory input. Developed by Karl Friston and others, it integrates Bayesian inference with action, suggesting that the brain reduces surprise or uncertainty by making predictions and using sensory feedback to refine them. With applications in brain imaging, robotics, and artificial intelligence, active inference has been used to model brain function, perception, and action, but its applicability to living systems has been questioned. Key researchers like [[karl-friston|Karl Friston]] and [[anil-seth|Anil Seth]] have contributed to its development, while institutions like [[university-college-london|University College London]] and [[salk-institute|Salk Institute]] have been at the forefront of research. Active inference has also been linked to other concepts, such as [[free-energy-principle|free energy principle]] and [[bayesian-inference|Bayesian inference]], and has been compared to other frameworks, such as [[predictive-coding|predictive coding]].