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Modeling with Archetypes: An Effective Approach to Dealing with Complexity

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Book cover Computer Aided Systems Theory - EUROCAST 2003 (EUROCAST 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2809))

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Abstract

In the face of growing complexities, agents who lead or manage organizations must revert to better models. This proposition is based on the Conant/Ashby Theorem, which says that the results of a management process are determined by the quality of the model on which that process is based. The author proposes that archetype-based modeling is a promising way to enhance the behavioral repertory of agents in organizations and society: It aids in achieving better models and thus in coping with complexity more effectively. Experiences with System Dynamics modeling of real-world issues and problems as well as the pertinent results achieved are reported. The special flavor of the cases described lies in a new quality and speed of learning-by-modeling, which was unachievable a few years ago. This is now enabled by a) an advanced methodology of modeling and model validation, b) the conceptual maturity of systems archetypes, and c) the availability of powerful simulation software.

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Author information

Authors and Affiliations

  1. Institute of Management, University of St. Gallen, Dufourstrasse 48, CH-9000, St. Gallen, Switzerland

    Markus Schwaninger

Authors
  1. Markus Schwaninger
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Editor information

Editors and Affiliations

  1. Institute of Cybernetics, Universidad de Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Systems Theory, Johannes Kepler University Linz, Altenbergerstrasse 69, A-4040, Linz, Austria

    Franz Pichler

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© 2003 Springer-Verlag Berlin Heidelberg

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Schwaninger, M. (2003). Modeling with Archetypes: An Effective Approach to Dealing with Complexity. In: Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST 2003. EUROCAST 2003. Lecture Notes in Computer Science, vol 2809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45210-2_13

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  • DOI: https://doi.org/10.1007/978-3-540-45210-2_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20221-9

  • Online ISBN: 978-3-540-45210-2

  • eBook Packages: Springer Book Archive

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