Entropy methods in guided self-organisation

Mikhail Prokopenko; Carlos Gershenson

doi:10.3390/e16105232

Entropy methods in guided self-organisation

Mikhail Prokopenko^*, Carlos Gershenson

^*Corresponding author for this work

School of Computing

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)

21 Downloads (Pure)

Abstract

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 a broad 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.

Original language	English
Pages (from-to)	5232-5241
Number of pages	10
Journal	Entropy
Volume	16
Issue number	10
DOIs	https://doi.org/10.3390/e16105232
Publication status	Published - Oct 2014

Bibliographical note

Copyright the Author(s) 2014. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Access to Document

10.3390/e16105232

Publisher version (open access)Final published version, 315 KBLicence: CC BY

Cite this

@article{69d9dd03f2cd48a0b22d918eb9cc4d84,

title = "Entropy methods in guided self-organisation",

abstract = "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 a broad 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.",

author = "Mikhail Prokopenko and Carlos Gershenson",

note = "Copyright the Author(s) 2014. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",

year = "2014",

month = oct,

doi = "10.3390/e16105232",

language = "English",

volume = "16",

pages = "5232--5241",

journal = "Entropy",

issn = "1099-4300",

publisher = "MDPI",

number = "10",

}

TY - JOUR

T1 - Entropy methods in guided self-organisation

AU - Prokopenko, Mikhail

AU - Gershenson, Carlos

N1 - Copyright the Author(s) 2014. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

PY - 2014/10

Y1 - 2014/10

N2 - 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 a broad 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.

AB - 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 a broad 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.

UR - http://www.scopus.com/inward/record.url?scp=84908463225&partnerID=8YFLogxK

U2 - 10.3390/e16105232

DO - 10.3390/e16105232

M3 - Article

AN - SCOPUS:84908463225

VL - 16

SP - 5232

EP - 5241

JO - Entropy

JF - Entropy

SN - 1099-4300

IS - 10

ER -

Entropy methods in guided self-organisation

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this