Paper Info
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.
Year
DOI
Venue
2014
10.3390/e16105232
ENTROPY
Keywords
Field
DocType
entropy,guided self-organisation
Information theory,Collective behavior,Intelligent agent,Computer science,Artificial intelligence,Self organisation,Offset (computer science)
Journal
Volume
Issue
Citations 
16
10
2
PageRank 
References 
Authors
0.40
32
2
Name
Order
Citations
PageRank
Mikhail Prokopenko1532.74
Carlos Gershenson239242.34