Entropy Methods in Guided Self-Organisation
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,...
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Format: | Article |
Language: | English |
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MDPI AG
2014-10-01
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Series: | Entropy |
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Online Access: | http://www.mdpi.com/1099-4300/16/10/5232 |
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author | Mikhail Prokopenko Carlos Gershenson |
author_facet | Mikhail Prokopenko Carlos Gershenson |
author_sort | Mikhail Prokopenko |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-13T06:46:05Z |
format | Article |
id | doaj.art-e1987d25de254f3b9c1f2f54ebc73199 |
institution | Directory Open Access Journal |
issn | 1099-4300 |
language | English |
last_indexed | 2024-04-13T06:46:05Z |
publishDate | 2014-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Entropy |
spelling | doaj.art-e1987d25de254f3b9c1f2f54ebc731992022-12-22T02:57:35ZengMDPI AGEntropy1099-43002014-10-0116105232524110.3390/e16105232e16105232Entropy Methods in Guided Self-OrganisationMikhail Prokopenko0Carlos Gershenson1CSIRO Digital Productivity, PO Box 76, Epping, NSW 1710, AustraliaInstituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, A.P. 20-126, 01000 Mexico D.F., MexicoSelf-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.http://www.mdpi.com/1099-4300/16/10/5232entropyguided self-organisation |
spellingShingle | Mikhail Prokopenko Carlos Gershenson Entropy Methods in Guided Self-Organisation Entropy entropy guided self-organisation |
title | Entropy Methods in Guided Self-Organisation |
title_full | Entropy Methods in Guided Self-Organisation |
title_fullStr | Entropy Methods in Guided Self-Organisation |
title_full_unstemmed | Entropy Methods in Guided Self-Organisation |
title_short | Entropy Methods in Guided Self-Organisation |
title_sort | entropy methods in guided self organisation |
topic | entropy guided self-organisation |
url | http://www.mdpi.com/1099-4300/16/10/5232 |
work_keys_str_mv | AT mikhailprokopenko entropymethodsinguidedselforganisation AT carlosgershenson entropymethodsinguidedselforganisation |