Exponential Self-Organization and Moore's Law: Measures and Mechanisms

TL;DR

This paper investigates the universal measures of self-organization in complex systems and explores their connection to physical principles and technological progress, including insights into Moore's law.

Contribution

It introduces global measures for self-organizing systems that are substrate-independent and links these to the physical basis of Moore's law and logistic growth in technology.

Findings

Identifies measures of self-organization applicable across systems

Provides a physical interpretation of Moore's law

Explains logistic growth in technological development

Abstract

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.