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Organization: The Central Concept for Qualitative and Quantitative Scalability

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Socionics

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3413))

Abstract

In sociology and distributed artificial intelligence, researchers are investigating two different ways of scaling. On the one hand, there is qualitative scaling, meaning that (social) complexity is increased, introducing regular practices of action, institutions, new fields of social action and requiring new dimensions in perception and decision making. On the other hand, researchers are interested in investigating quantitative scalability, i.e. how goals can be achieved under the constraints imposed by a growing population.

Our argument is structured as follows: firstly, we want to establish that organizations and interorganizational networks are an important cornerstone for the analysis of qualitative scaling. Secondly, we show by empirical evaluation that an elaborate theoretical concept of such networks increases the quantitative scalability of multiagent systems.

This work was funded by the Deutsche Forschungsgemeinschaft (DFG) in the priority programme Socionics under contracts Si 372/9-2 and FL 336/1-2.

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Author information

Authors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123, Saarbrücken, Germany

    Michael Schillo

  2. Department of Technology Assessment, Technical University of Hamburg-Harburg, Schwarzenbergstr. 95, 21071, Hamburg, Germany

    Daniela Spresny

Authors
  1. Michael Schillo
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  2. Daniela Spresny
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Editor information

Editors and Affiliations

  1. DFKI GmbH, Saarbrücken, Germany

    Klaus Fischer

  2. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstrasse 95, 21071, Hamburg, Germany

    Michael Florian

  3. Department of Technology Assessment, Hamburg University of Technology, Schwarzenbergstr. 95, 21071, Hamburg, Germany

    Thomas Malsch

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Schillo, M., Spresny, D. (2005). Organization: The Central Concept for Qualitative and Quantitative Scalability. In: Fischer, K., Florian, M., Malsch, T. (eds) Socionics. Lecture Notes in Computer Science(), vol 3413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11594116_6

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  • DOI: https://doi.org/10.1007/11594116_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30707-5

  • Online ISBN: 978-3-540-31613-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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