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Reorganization in Multi-Agent Architectures: An Active Graph Grammar Approach

Author

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  • Schatten Markus

    (University of Zagreb, Faculty of Organization and Informatics, Varaždin, Croatia)

Abstract

Background: Organizational architecture is a holistic approach to design of humane organizations and studies an organization from five perspectives: structure, culture, processes, strategy and individuals. In this paper, the concept of organizational architecture is firstly formalized using the fractal principle and then applied to multi-agent systems’ (MAS) organizations. Objectives: Providing a holistic framework for modeling all aspects of MAS reorganization. Methods/Approach: MAS organizations are formalized using graph theoryand a new active graph rewriting formalism inspired by active database theory is intoduced. Results: The newly developed framework is graphical, event-driven and applicable in a distributed MAS environment. Conclusions: By defining organizational units, processes, strategies and cultural artefacts in a recursive way, it is shown that labeled graphs andhypergraphs can be used to model various levels of organizational architecture while active graph grammars allow one to model reorganization of each of the architectural perspectives.

Suggested Citation

  • Schatten Markus, 2013. "Reorganization in Multi-Agent Architectures: An Active Graph Grammar Approach," Business Systems Research, Sciendo, vol. 4(1), pages 14-20, March.
    • Handle: RePEc:bit:bsrysr:v:4:y:2013:i:1:p:14-20
    DOI: 10.2478/bsrj-2013-0002
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    References listed on IDEAS

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    1. Isabelle Huault & V. Perret & S. Charreire-Petit, 2007. "Management," Post-Print halshs-00337676, HAL.
    2. Markus Schatten & Miroslav Zugaj, 2011. "Biomimetics in Modern Organizations - Laws or Metaphors?," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 9(1), pages 39-55.
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    Cited by:

    1. Schatten Markus, 2014. "Smart Residential Buildings as Learning Agent Organizations in the Internet of Things," Business Systems Research, Sciendo, vol. 5(1), pages 34-46, March.

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