Entropy Methods in Guided Self-Organisation

Entropy

Mikhail Prokopenko¹ 

[1] CSIRO Digital Productivity, PO Box 76, Epping, NSW 1710, Australia

关键词: entropy;    guided self-organisation;   

DOI  :  10.3390/e16105232

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland