  The question how complex systems become more organized and efficient with
time is open. Examples are, the formation of elementary particles from pure
energy, the formation of atoms from particles, the formation of stars and
galaxies, the formation of molecules from atoms, of organisms, and of the
society. In this sequence, order appears inside complex systems and randomness
(entropy) is expelled to their surroundings. Key features of self-organizing
systems are that they are open and they are far away from equilibrium, with
increasing energy flowing through them. This work searches for global measures
of such self-organizing systems, that are predictable and do not depend on the
substrate of the system studied. Our results will help to understand the
existence of complex systems and mechanisms of self-organization. In part we
also provide insights, in this work, about the underlying physical essence of
the Moore's law and the multiple logistic growth observed in technological
progress.
