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Socionics pp 84-103 | Cite as

Organization: The Central Concept for Qualitative and Quantitative Scalability

  • Michael Schillo
  • Daniela Spresny
Chapter
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Organizational Form Multiagent System Central Concept Organizational Network Organizational Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    P. Bourdieu. In Other Words. Essays Towards a Reflexive Sociology. University Press/Polity Press, Cambridge/ Stanford (1990)Google Scholar
  2. 2.
    Bourdieu, P.: Pascalian Meditations. Polity Press, Cambridge (2000)Google Scholar
  3. 3.
    Bourdieu, P., Wacquant, L.: An Invitation to Reflexive Sociology. Polity Press, Chicago (1992)Google Scholar
  4. 4.
    Camarinha-Matos, L.M., Afsarmanesh, H., Garita, C., Lima, C.: Towards an architecture for virtual enterprises. Journal of Intelligent Manufacturing 9(2), 189–199 (1998)CrossRefGoogle Scholar
  5. 5.
    Castelfranchi, C., Falcone, R.: Towards a theory of delegation for agent-based systems. Robotics and Autonomous Systems 24, 141–157 (1998)CrossRefGoogle Scholar
  6. 6.
    Esser, H.: Soziologie - Allgemeine Grundlagen. Campus Verlag, Frankfurt am Main (1999)Google Scholar
  7. 7.
    FIPA. Foundation for Intelligent Agents (2002), http://www.fipa.org/repository/ips.html
  8. 8.
    Giddens, A.: The Constitution of Society. Polity Press, Cambridge (1984)Google Scholar
  9. 9.
    Gulati, R., Garguilo, M.: Where do interorganizational networks come from? American Journal of Sociology 104, 1439–1493 (1999)CrossRefGoogle Scholar
  10. 10.
    Carlos Jarillo, J.: On strategic networks. Strategic Management Journal 9, 31–41 (1988)CrossRefGoogle Scholar
  11. 11.
    Kieser, A.: Organisationstheorien. Kohlhammer, Stuttgart (2001)Google Scholar
  12. 12.
    Knabe, T., Schillo, M., Fischer, K.: Improvements to the FIPA contract net protocol for performance increase and cascading applications. In: International Workshop for Multi-Agent Interoperability at the German Conference on AI, KI 002 (2002)Google Scholar
  13. 13.
    Luhmann, N.: Soziologische Aufklärung 2. Westdeutscher Verlag, Opladen (1975)Google Scholar
  14. 14.
    Mayntz, R., Ziegler, R.: Soziologie der Organsiation. In: Mayntz, R., Roghmann, K., Ziegler, R. (eds.) Organisation - Militä, Handbuch der empirischen Sozialforschung, pp. 1–141. DTV (1977)Google Scholar
  15. 15.
    Powell, W., DiMaggio, P.: The New Institutionalism in Organizational Analysis. University of Chicago Press, London (1991)Google Scholar
  16. 16.
    Schillo, M.: Self-organization and adjustable autonomy: Two sides of the same medal? Connection Science 14(4), 345–359 (2003)CrossRefGoogle Scholar
  17. 17.
    Schillo, M., Fischer, K., Hillebrandt, F., Florian, M., Dederichs, A.: Bounded social rationality: Modelling self-organization and adaptation using habitus-field theory. In: Proceedings of the Workshop on Modelling Artificial Societies and Hybrid Organizations (MASHO) at ECAI 2000 (2000)Google Scholar
  18. 18.
    Schimank, U.: Handeln und Strukturen. In: Einführung in die akteurtheoretische Soziologie. Juventa Verlag, Weinheim und München (2000)Google Scholar
  19. 19.
    Smith, R.G.: The contract net: A formalism for the control of distributed problem solving. In: Proceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI 1977), pp. 472 (1977)Google Scholar
  20. 20.
    Treibel, A.: Einführung in die soziologischen Theorien der Gegenwart. Leske + Budrich, Opladen (2000b)Google Scholar
  21. 21.
    Türk, K.: Neuere Entwicklungen in der Organisationsforschung. Ein Trendreport. F. Enke, Stuttgart (1989)Google Scholar
  22. 22.
    Weber, M.: Wirtschaft und Gesellschaft. Mohr, Tübingen (1922)Google Scholar
  23. 23.
    Weymann, A.: Interaktion, Sozialstruktur und Gesellschaft. In: Joas, H. (ed.) Lehrbuch der Soziologie, pp. 93–121. Campus Verlag (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Michael Schillo
    • 1
  • Daniela Spresny
    • 2
  1. 1.German Research Center for Artificial Intelligence (DFKI)SaarbrückenGermany
  2. 2.Department of Technology AssessmentTechnical University of Hamburg-HarburgHamburgGermany

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