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)

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.
LanguageEnglish
Title of host publicationIEEE Conference on Systems, Man and Cybernetics (SMC-2010)
Pages888-895
DOIs
Publication statusPublished - 2010

Fingerprint

Economics
Industry
Knowledge representation

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) https://doi.org/10.1109/ICSMC.2010.5641875
Arnautovic, E ; Vallée, M ; Mulvenna, Maurice ; Baumgarten, Matthias ; Hadjiantonis, AM ; Rehm, S-V ; Müthel, M ; Karyotis, V ; Papavassiliou, S ; Stathis, K. / Towards Self-Managing Systems inspired by Economic Organizations. IEEE Conference on Systems, Man and Cybernetics (SMC-2010). 2010. pp. 888-895
@inbook{40f5d34288c944948588ae9be6e58e09,
title = "Towards Self-Managing Systems inspired by Economic Organizations",
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.",
author = "E Arnautovic and M Vall{\'e}e and Maurice Mulvenna and Matthias Baumgarten and AM Hadjiantonis and S-V Rehm and M M{\"u}thel and V Karyotis and S Papavassiliou and K Stathis",
year = "2010",
doi = "10.1109/ICSMC.2010.5641875",
language = "English",
isbn = "978-1-4244-6586-6",
pages = "888--895",
booktitle = "IEEE Conference on Systems, Man and Cybernetics (SMC-2010)",

}

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

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; Stathis, K.

IEEE Conference on Systems, Man and Cybernetics (SMC-2010). 2010. p. 888-895.

Research output: Chapter in Book/Report/Conference proceedingChapter

TY - CHAP

T1 - Towards Self-Managing Systems inspired by Economic Organizations

AU - Arnautovic, E

AU - Vallée, M

AU - Mulvenna, Maurice

AU - Baumgarten, Matthias

AU - Hadjiantonis, AM

AU - Rehm, S-V

AU - Müthel, M

AU - Karyotis, V

AU - Papavassiliou, S

AU - Stathis, K

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.1109/ICSMC.2010.5641875

DO - 10.1109/ICSMC.2010.5641875

M3 - Chapter

SN - 978-1-4244-6586-6

SP - 888

EP - 895

BT - IEEE Conference on Systems, Man and Cybernetics (SMC-2010)

ER -

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