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New Frontiers in the Validation of Simulation Models–Structural Dominance Analysis

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Computer Aided Systems Theory - EUROCAST 2009 (EUROCAST 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5717))

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Abstract

Building better models is crucial for coping with complexity in general, and for the management of organizations in particular. This paper discusses the epistemological aspects of model validation for the achievement of high-quality models. Then it provides an overview of validation methods. The logic of validation is demonstrated by introducing the Structural Dominance Test as a means for testing the correspondence of the structural dominance between model and reality.

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References

  1. Doyle, J.K., Ford, D.N.: Mental Models Concepts for System Dynamics Research. System Dynamics Review 14(1), 3–29 (1998)

    Article  Google Scholar 

  2. Ford, D.N.: A Behavioral Approach to Feedback Loop Dominance Analysis. System Dynamics Review 15(1), 3–36 (1999)

    Article  MathSciNet  Google Scholar 

  3. Forrester, J.W.: Industrial Dynamics. Productivity Press, Cambridge (1961)

    Google Scholar 

  4. Groesser, S.N.: Validität und Qualität von Simulationsmodellen: Strukturdominanz Analyse angewendet als Validierungsmethode. Discussion Paper No. 57. University of St. Gallen, Institute of Management (2009)

    Google Scholar 

  5. Gűneralp, B.: Towards Coherent Loop Dominance Analysis: Progress in Eigenvalue Elasticity Analysis. System Dynamics Review 22(3), 263–289 (2006)

    Article  Google Scholar 

  6. Kampmann, C.E., Oliva, R.: Loop Eigenvalue Elasticity Analysis: Three Case Studies. System Dynamics Review 22(2), 141–162 (2006)

    Article  Google Scholar 

  7. Kampmann, C.E., Oliva, R.: Structural Dominance Analysis and Theory Building in System Dynamics. Systems Research and Behavioral Science 25(4), 505–519 (2008)

    Article  Google Scholar 

  8. Kampmann, C.E., Oliva, R.: System Dynamics: Analytical Methods for Structural Dominance Analysis. In: Encyclopedia of Complexity and Systems Science. Springer, Berlin (2009)

    Google Scholar 

  9. Meadows, D.L.: Dynamics of Commodity Production Cycles. Wright-Allen Press, Cambridge (1970)

    Google Scholar 

  10. Mojahedzadeh, M., Andersen, D.F., Richardson, G.P.: Using Digest to Implement the Pathway Participation Method for Detecting Influential System Structure. System Dynamics Review 20(1), 1–20 (2004)

    Article  Google Scholar 

  11. Mojtahedzadeh, M.: Do Parallel Lines Meet? How Can Pathway Participation Metrics and Eigenvalue Analysis Produce Similar Results? System Dynamics Review 24(4), 451–478 (2008)

    Article  Google Scholar 

  12. Popper, K.R.: The Logic of Scientific Discovery. Hutchinson, London (1959)

    MATH  Google Scholar 

  13. Popper, K.R.: Objective Knowledge: An Evolutionary Approach. Clarendon Press, Oxford (1972)

    Google Scholar 

  14. Richardson, G.P., Pugh III, A.L.: Introduction to System Dynamics Modeling with DYNAMO. Productivity Press, Cambridge (1981)

    Google Scholar 

  15. Richardson, G.P.: Loop Polarity, Loop Dominance, and the Concept of Dominant Polarity. System Dynamics Review (Wiley 1984) 11(1), 67–88 (1995)

    Article  Google Scholar 

  16. Saleh, M., Davidsen, P.: Extending Eigenvalue Analysis to Nonlinear Models via Incorporating Higher Order Terms of Taylor Series Expansion. In: Proceedings of the 2007 International Conference of the System Dynamics Society. The System Dynamics Society, Boston (2007)

    Google Scholar 

  17. Schwaninger, M., Groesser, S.: System Dynamics as Model-based Theory-building. Research and Behavioral Science 25(4), 447–465 (2008)

    Article  Google Scholar 

  18. Schwaninger, M., Groesser, S.N.: System Dynamics Modeling: Validation for Quality Assurance. In: Encyclopedia of Complexity and System Science. Springer, Berlin (2009)

    Google Scholar 

  19. Vennix, J.A.M.: Group Model Building: Facilitating Team Learning Using System Dynamics. Wiley, Chichester (1996)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Management, University of St. Gallen, Dufourstrasse 40a, 9000 St, Gallen, Switzerland

    Markus Schwaninger & Stefan Groesser

Authors
  1. Markus Schwaninger
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  2. Stefan Groesser
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Editors and Affiliations

  1. Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Las Palmas, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Institute of Systems Science, Johannes Kepler University Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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© 2009 Springer-Verlag Berlin Heidelberg

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Schwaninger, M., Groesser, S. (2009). New Frontiers in the Validation of Simulation Models–Structural Dominance Analysis. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04772-5_8

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  • DOI: https://doi.org/10.1007/978-3-642-04772-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04771-8

  • Online ISBN: 978-3-642-04772-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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