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

The question of 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, and the formation of molecules from atoms, of organisms, and of...

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Main Authors: Georgi Yordanov Georgiev, Atanu Chatterjee, Germano Iannacchione
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2017/8170632
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author Georgi Yordanov Georgiev
Atanu Chatterjee
Germano Iannacchione
author_facet Georgi Yordanov Georgiev
Atanu Chatterjee
Germano Iannacchione
author_sort Georgi Yordanov Georgiev
collection DOAJ
description The question of 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, and 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 flows through them. This work searches for global measures of such self-organizing systems, which 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 Moore’s law and the multiple logistic growth observed in technological progress.
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spelling doaj-art-90171923c8f54aff8e67436bcf6f6d982025-02-03T00:59:07ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/81706328170632Exponential Self-Organization and Moore’s Law: Measures and MechanismsGeorgi Yordanov Georgiev0Atanu Chatterjee1Germano Iannacchione2Department of Physics, Assumption College, 500 Salisbury St., Worcester, MA 01609, USADepartment of Physics, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USADepartment of Physics, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA 01609, USAThe question of 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, and 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 flows through them. This work searches for global measures of such self-organizing systems, which 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 Moore’s law and the multiple logistic growth observed in technological progress.http://dx.doi.org/10.1155/2017/8170632
spellingShingle Georgi Yordanov Georgiev
Atanu Chatterjee
Germano Iannacchione
Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
Complexity
title Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
title_full Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
title_fullStr Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
title_full_unstemmed Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
title_short Exponential Self-Organization and Moore’s Law: Measures and Mechanisms
title_sort exponential self organization and moore s law measures and mechanisms
url http://dx.doi.org/10.1155/2017/8170632
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