The Free Energy Principle (FEP) and its extension, Active Inference (AIF), present a unique approach to understanding self-organization in natural systems. These frameworks propose that agents use internal generative models to predict observations from unknown external processes, continuously updating their perceptive and control states to minimize prediction errors. While this unifying principle offers profound insights […]
The post RxEnvironments.jl: A Reactive Programming Approach to Complex Agent-Environment Simulations in the Julia Language appeared first on MarkTechPost.