Predictive Processing Elevates Decision Making

Active inference builds upon predictive processing by incorporating Bayesian models to refine predictions based on sensory feedback and prior experiences. In decision-making scenarios, such as sports, individuals generate predictions using various contextual cues. These predictions are continuously adjusted as new sensory information is received, allowing for improved accuracy in judgment without direct involvement in the actions being predicted.