Towards Self-Managing Systems inspired by Economic Organizations

E Arnautovic, M Vallée, Maurice Mulvenna, Matthias Baumgarten, AM Hadjiantonis, S-V Rehm, M Müthel, V Karyotis, S Papavassiliou, K Stathis

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationIEEE Conference on Systems, Man and Cybernetics (SMC-2010)
PublisherIEEE
Pages888-895
ISBN (Print)978-1-4244-6586-6
DOIs
Publication statusPublished - 2010

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  • Cite this

    Arnautovic, E., Vallée, M., Mulvenna, M., Baumgarten, M., Hadjiantonis, AM., Rehm, S-V., ... Stathis, K. (2010). Towards Self-Managing Systems inspired by Economic Organizations. In IEEE Conference on Systems, Man and Cybernetics (SMC-2010) (pp. 888-895). IEEE. https://doi.org/10.1109/ICSMC.2010.5641875