Intrinsic Information Processing and Energy Dissipation in Stochastic Input-Output Dynamical Systems.

摘要

Recent theoretical and experimental advances in nonequilibrium thermodynamics provide a new understanding of how intelligent control can convert information to energy. However, these approaches have yet to account for the diverse kinds of information that complex nonlinear systems are capable of producing and storing. This is particularly a concern regarding the diversity of differently structured irreversible processes, which play key role in limiting computation. Fortunately, computational mechanics accounts for this diversity, but in autonomous dynamical systems. Thermodynamic cycles that perform useful information processing are nonautonomous systems. To analyze information processing in nonautonomous systems, computational mechanics must be ex- tended to controlled dynamical systems. Additionally, it must be augmented to account for the energetics that support information generation and storage.