Entropy Methods in Guided Self-Organisation

Author： Prokopenko Mikhail Gershenson Carlos

Publisher： MDPI

E-ISSN： 1099-4300|16|10|5232-5241

ISSN： 1099-4300

Source： Entropy, Vol.16, Iss.10, 2014-10, pp. : 5232-5241

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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.