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Centralised and Distributed Organisational Control

  • J. M. E. Gabbai
  • W. A. Wright
  • N. M. Allinson
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2412)

Abstract

As many systems and organisations are migrating from centralised control to a distributed one, there is a need for a better understanding of organisational behaviour. The implications of such a trend are discussed with reference to current agent technology. A custom simulation, together with some preliminary results, for the investigation of organisational scenarios is presented. Finally, the development of suitable metrics to quantify the efficiency and effectiveness of differing control mechanisms is considered.

Keywords

Multi Agent System Multiagent System Organisational Behaviour Sensor Range Grid Unit 
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.
    Neumann, P.G.: Cause of AT&T network failure, in The Risks Digest, vol. 9, 1990.Google Scholar
  2. 2.
    Meek, J.: Things Falling Apart (interview with J. Cohen), in The Guardian. London, 2001, pp. 2–3.Google Scholar
  3. 3.
    Cohen, J., Stewart, I.: The collapse of chaos: discovering simplicity in a complex world. New York: Viking, 1994.Google Scholar
  4. 4.
    Ashby, R.: Principles of the self-organizing dynamic system, Journal of General Psychology, vol. 37, pp. 125–128, 1947.CrossRefGoogle Scholar
  5. 5.
    Kauffman, S.A.: The origins of order: self-organization and selection in evolution. New York; Oxford: Oxford University Press, 1993.Google Scholar
  6. 6.
    Prigogine, I., Stengers, I.: Order out of chaos: man’s new dialogue with nature. London: Fontana Paperbacks, 1985.Google Scholar
  7. 7.
    Evans, S.R.: Hard Choices, in Aerospace International, May 2001.Google Scholar
  8. 8.
    Resnick, M.: Changing the Centralized Mind, in Technology Review, 1994.Google Scholar
  9. 9.
    Resnick, M.: Beyond the Centralized Mindset, Journal of the Learning Sciences, vol. 5, 1994.Google Scholar
  10. 10.
    Wooldridge, M.: Multiagent systems: a modern approach to distributed artificial intelligence. Cambridge, Mass.: London: MIT Press, 1999.Google Scholar
  11. 11.
    Heusse, M., Snyers, D., Guérin, S., Kuntz, P.: Adaptive Agent-Driven Routing and Load Balancing in Communication Network’, presented at Ants’ 98, Brussels, 1998.Google Scholar
  12. 12.
    Gasser, L.: Perspectives on Organizations in Multi-agent Systems, presented at Multi-Agent Systems and Applications, Prague, Czech Republic, 2001.Google Scholar
  13. 13.
    Parunak, V.: Industrial Applications of Agents, presented at 2nd European Agent Summer School, Saarbrucken, 2000.Google Scholar
  14. 14.
    Chan, T.F., Golub, G.H.: Algorithms for computing the sample variance: analysis and recommendations, The American Statistician, vol. 37, pp. 242–247, 1983.zbMATHCrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • J. M. E. Gabbai
    • 1
  • W. A. Wright
    • 2
  • N. M. Allinson
    • 1
  1. 1.UMISTManchesterEngland
  2. 2.BAE SYSTEMSBristolEngland

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