Research Article
An Emergence Principle for Complex Systems
@INPROCEEDINGS{10.1007/978-3-642-02466-5_110, author={Michel Cotsaftis}, title={An Emergence Principle for Complex Systems}, proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1}, proceedings_a={COMPLEX PART 1}, year={2012}, month={5}, keywords={Complex Systems Emergence Criterion}, doi={10.1007/978-3-642-02466-5_110} }- Michel Cotsaftis
Year: 2012
An Emergence Principle for Complex Systems
COMPLEX PART 1
Springer
DOI: 10.1007/978-3-642-02466-5_110
Abstract
From elementary system graph representation, systems are shown to belong to only three states: simple, complicated, and complex. First two have been studied over past centuries. Last one originates in existence of threshold above which components interaction overtakes outside interaction, leading to system self-organization which filters outer action, making it more robust with emergence of new behaviour not predictable from components study. The threshold value, expressed in terms of coupling system parameters, is verified to recovers limits found in a broad range of domains in Physics and Mathematics, giving explicit criterion for emergence in complex system. Application to man-made systems concentrates on the balance between relative system isolation when becoming complex and delegation of more “intelligence” in adequate frame between new augmented system state and supervising operator. Entering complexity state opens the possibility for the function to feedback onto the structure, ie to mimic technically the early invention of Nature.