Summary
Entropy measures offer a powerful framework for assessing cognitive systems by quantifying uncertainty, variability, and structure in neural and behavioral processes. Within the active inference paradigm, these measures can be used to model how cognitive systems minimize uncertainty through perception, action, and learning. Furthermore, we extend this perspective to the material world, investigating how similar methods could be employed to analyze complexity in physical systems.