Entropy Methods in Guided Self-Organisation
AbstractSelf-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. View Full-Text
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Prokopenko, M.; Gershenson, C. Entropy Methods in Guided Self-Organisation. Entropy 2014, 16, 5232-5241.
Prokopenko M, Gershenson C. Entropy Methods in Guided Self-Organisation. Entropy. 2014; 16(10):5232-5241.Chicago/Turabian Style
Prokopenko, Mikhail; Gershenson, Carlos. 2014. "Entropy Methods in Guided Self-Organisation." Entropy 16, no. 10: 5232-5241.