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|Author=Emre Cakar
 
 
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{{Inproceedings
 
{{Inproceedings
 
|Referiert=True
 
|Referiert=True
|Title=Towards a Quantitative Notion of Self-organisation
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|Title=Towards a Quantitative Notion of Self-Organisation
 
|Year=2007
 
|Year=2007
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|Month=September
 
|Booktitle=Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC 2007)
 
|Booktitle=Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC 2007)
 
|Pages=4222-4229
 
|Pages=4222-4229
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{{Publikation Details
 
{{Publikation Details
 
|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.
 
|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
 
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.
 
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.
 
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.
 
|ISBN=978-1-4244-1340-9
 
|ISBN=978-1-4244-1340-9
|VG Wort-Seiten=
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|DOI Name=10.1109/CEC.2007.4425022
|Link=http://dx.doi.org/10.1109/CEC.2007.4425022
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|Projekt=OCCS, QE
|DOI Name=
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|Forschungsgruppe=Effiziente Algorithmen
|Projekt=OCCS, QE,
 
|Forschungsgruppe=
 
 
}}
 
}}
 
{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl
 
|Forschungsgebiet=Organic Computing
 
|Forschungsgebiet=Organic Computing
 
}}
 
}}

Aktuelle Version vom 23. September 2009, 23:01 Uhr


Towards a Quantitative Notion of Self-Organisation


Towards a Quantitative Notion of Self-Organisation



Published: 2007 September

Buchtitel: Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC 2007)
Seiten: 4222-4229

Referierte Veröffentlichung

BibTeX

Kurzfassung
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.

ISBN: 978-1-4244-1340-9
DOI Link: 10.1109/CEC.2007.4425022

Projekt

OCCSQE



Forschungsgruppe

Effiziente Algorithmen


Forschungsgebiet

Organic Computing