Title :
Towards a quantitative notion of self-organisation
Author :
Akar, Emre ç ; Mnif, Moez ; Müller-Schloer, Christian ; Richter, Urban ; Schmeck, Hartmut
Author_Institution :
Leibniz Univ. Hannover, Hannover
Abstract :
Organic computing (OC) and other research initiatives like autonomic computing or proactive computing have developed the idea of systems that possess life-like properties, that self-organise, that adapt to their dynamically changing environments, and that establish other so-called self-x properties, like self-healing, self-configuration, self-optimisation etc. What we are searching for in OC are not concepts for systems that simply self-organise, but systems that self-organise to achieve a well defined system goal. Therefore we talk in OC about controlled self-organisation. Although the term self-organisation has been discussed for years, we miss a clear definition of self-organisation in most publications, which have a technically motivated background. In this paper, we summarise the state of the art and introduce a definition of self-organisation that addresses the problem of designing self-organising technical systems, which is the main objective of the OC initiative.
Keywords :
control system synthesis; self-adjusting systems; autonomic computing; controlled self-organisation notion; organic computing; proactive computing; self-configuration system; self-healing system; self-optimisation system; self-organising technical system design; Birds; Control systems; Entropy; Hazards; Humans; Marine animals; Process design; Research initiatives; Sampling methods; Systems engineering and theory;
Conference_Titel :
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1339-3
Electronic_ISBN :
978-1-4244-1340-9
DOI :
10.1109/CEC.2007.4425022