Exploring Markov Blanket and Synergy in Dynamical Systems

The concept of synergy in dynamical systems involves the coordination of elements as a whole unit. Markov blanket can be applied to synergy to identify correlated aspects of a system for dimensionality reduction. Through dimensionality reduction, variables that are correlated can be reduced to a single variable, simplifying the model while capturing essential relationships. This approach aligns with the empirical nature of scientific discovery and the search for principles that universally apply. The interplay between intrinsic and extrinsic dynamics within a system can be formalized mathematically, showing equivalence in describing internal and external states. The distinction between internal and external states mediated by a Markov blanket may be philosophical as there could be a singular reality beyond these distinctions, raising questions about the nature of reality and pan-psychism.