Master data

Title: Self-Adaptation of Coordination in Imperfectly Known Task Environments
Subtitle:
Abstract:


The coordination of multiple agents which are collectively responsible for accomplishing a system's task is among the fundamental issues of organizational design. This paper studies which mode of coordination emerges in systems when the task complexity is imperfectly known, for example, as the system has gone through an external shock. For this, an agent-based simulation based on NK fitness landscapes is employed. The simulation model controls for different levels of task complexity and different degrees of knowledge about the task. The results provide broad support for the conjecture that intense coordination emerges when the complexity of the task to be accomplished collaboratively is high. Moreover, the results suggest that the precision of knowledge about the task subtly may affect which coordination mode emerges.


Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 17.01.2019 (Online)
Published by: Proceedings of the 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
Proceedings of the 2018 IEEE 12th International Conference on Self-Adaptive and Self-Organizing Systems (SASO)
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: pp. 174 - 179

Versionen

Keine Version vorhanden
Publication date: 17.01.2019
ISBN (e-book):
  • 978-1-5386-5172-8
eISSN: 1949-3681
DOI: http://dx.doi.org/10.1109/SASO.2018.00030
Homepage: https://ieeexplore.ieee.org/document/8614293
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Unternehmensführung
 
Abteilung für Controlling und Strategische Unternehmensführung
Universitätsstrasse 67
9020 Klagenfurt
Austria
   IFU_CSU@aau.at
https://www.aau.at/csu
To organisation
Universitätsstrasse 67
AT - 9020  Klagenfurt

Categorisation

Subject areas
  • 102009 - Computer simulation
  • 502006 - Controlling
Research Cluster
  • Self-organizing systems
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

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No related publications