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Towards Self-Managing Systems inspired by Economic Organizations

Arnautovic, E, Vallée, M, Mulvenna, Maurice, Baumgarten, Matthias, Hadjiantonis, AM, Rehm, S-V, Müthel, M, Karyotis, V, Papavassiliou, S and Stathis, K (2010) Towards Self-Managing Systems inspired by Economic Organizations. In: IEEE Conference on Systems, Man and Cybernetics (SMC-2010). IEEE, pp. 888-895. ISBN 978-1-4244-6586-6 [Book section]

PDF - Accepted Version

DOI: 10.1109/ICSMC.2010.5641875


Today's self-managing systems would ideally be able to adapt themselves (their internal structure or behavior), as well as to autonomously participate in larger, self-organizing systems. Analogously, the enterprises or other socio-economic systems autonomously manage themselves - they make decisions on how to adapt their structure and behavior, and how to organize with other entities in the environment. To connect internal self-adaptive with external self-organizational behavior, an enterprise is “aware” of itself and of its environment, and acts according to this awareness. This position paper proposes to address the challenges of a complex distributed self-managing system by making entities in such a system able to adapt themselves similarly to how companies manage themselves in socio-economic systems. To enable the knowledge transfer between these two fields, the paper proposes to utilize symbolic models which will be used by self-managing systems for knowledge representation and reasoning. This will make such systems in a way also self-aware and enable both self-adaptive and self-organizing capabilities. The paper discusses research directions to make this approach possible.

Item Type:Book section
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
ID Code:17215
Deposited By: Professor Maurice Mulvenna
Deposited On:22 Feb 2011 09:10
Last Modified:17 Oct 2017 15:56

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