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Entropy 2014, 16(10), 5232-5241;

Entropy Methods in Guided Self-Organisation

CSIRO Digital Productivity, PO Box 76, Epping, NSW 1710, Australia
Department of Computing, Macquarie University, E6A Level 3, Eastern Rd, Macquarie Park, NSW 2113, Australia
School of Physics, University of Sydney, Physics Rd, Camperdown NSW 2050, Australia
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, A.P. 20-126, 01000 Mexico D.F., Mexico
Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, A.P. 20-126, 01000 Mexico D.F., Mexico
Author to whom correspondence should be addressed.
Received: 12 August 2014 / Revised: 22 September 2014 / Accepted: 29 September 2014 / Published: 9 October 2014
(This article belongs to the Special Issue Entropy Methods in Guided Self-Organization)
Full-Text   |   PDF [128 KB, uploaded 24 February 2015]


Self-organisation occurs in natural phenomena when a spontaneous increase in order is produced by the interactions of elements of a complex system. Thermodynamically, this increase must be offset by production of entropy which, broadly speaking, can be understood as a decrease in order. Ideally, self-organisation can be used to guide the system towards a desired regime or state, while "exporting" the entropy to the system's exterior. Thus, Guided Self-Organisation (GSO) attempts to harness the order-inducing potential of self-organisation for specific purposes. Not surprisingly, general methods developed to study entropy can also be applied to guided self-organisation. This special issue covers abroad diversity of GSO approaches which can be classified in three categories: information theory, intelligent agents, and collective behavior. The proposals make another step towards a unifying theory of GSO which promises to impact numerous research fields. View Full-Text
Keywords: entropy; guided self-organisation entropy; guided self-organisation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Prokopenko, M.; Gershenson, C. Entropy Methods in Guided Self-Organisation. Entropy 2014, 16, 5232-5241.

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