The adaptability of physiological systems optimizes performance: new directions in augmentation

This paper contributes to the human-machine interface community in two ways: as a critique of the closed-loop AC (augmented cognition) approach, and as a way to introduce concepts from complex systems and systems physiology into the field. Examples will be given from human physiology and learning and memory. Finally, the alternate approach presented herein is considered as a preferable design alternate in human-machine systems.