Entropy Methods in Guided Self-Organisation

• Main Authors: Mikhail Prokopenko, Carlos Gershenson
• Format: Article
• Language: English
• Published: MDPI AG 2014-10-01
• Series: Entropy
• Subjects: entropy; guided self-organisation
• Online Access: http://www.mdpi.com/1099-4300/16/10/5232

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.