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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References
Ashby, W.R.: Design for a Brain, 2nd edn. Chapman and Hall, London (1960)
Alexander, C., et al.: A Pattern Language. Oxford University Press, New York (1977)
Barlas, Y.: Formal Aspects of Model Validity and Validation in System Dynamics. System Dynamics Review 12(3), 183–210 (1996)
Barlas, Y., Carpenter, S.: Philosophical Roots of Model Validity – Two Paradigms. System Dynamics Review 6(2), 148–166 (1990)
Conant, R.C., Ashby, W.R.: Every Good Regulator of a System Must Be a Model of that System. In: Conant, R. (ed.) Mechanisms of Intelligence. Ashby’s Writings on Cybernetics, pp. 205–214. Intersystems Publications, Seaside (1981)
Forrester, J.W.: Industrial Dynamics. MIT Press, Cambridge (1961)
Forrester, J.W.: Principles of Systems. MIT Press, Cambridge (1968)
Forrester, J.W.: Counterintuitive Behavior of Social Systems. Technology Review 73(3), 52–68 (1971)
Forrester, J.W., Senge, P.M.: Tests for Building Confidence in System Dynamics Models. In: Legasto Jr., A.A., Forrester, J.W., Lyneis, J.M. (eds.) System Dynamics, pp. 209–228. North-Holland, Amsterdam (1980)
La Roche, U., Simon, M.: Geschäftsprozesse simulieren. Flexibel und zielorientiert führen mit Fliessmodellen. Verlag Industrielle Organisation, Zürich (2000)
Richardson, G.P. (ed.): Modelling for Management. Simulation in Support of Systems Thinking, vol. 2. Aldershot, Dartmouth (1996)
Richmond, B.: An Introduction to Systems Thinking, Hanover, NH: High Performance Systems (1992-2003)
Schwaninger, M.: The Role of System Dynamics with in the Systems Movement. In: Barlas, Y. (ed.) Theme System Dynamics, in Encyclopedia of Life Support Systems (EOLSS), UNESCO, Ch. 6.63.2.4. EOLSS Publishers, Oxford (2003/4) (forthcoming) WWW.EOLSS.NET
Senge, P.M.: The Fifth Discipline. The Art and Practice of the Learning Organization. Century Business, London (1992)
Sterman, J.D.: Business Dynamics. Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill, Boston, Mass. (2000)
System Dynamics in Education Project (SDEP MIT): Road Maps – A Guide to Learning System Dynamics, Cambridge, Mass.: Massachusetts Institute of Technology (1996–2000), http://sysdyn.clexchange.org/road-maps/home.html
System Dynamics Society, ed.: System Dynamics Bibliography, Albany: System Dynamics Society (2002) (updated regularly)
Wolstenholme, E.F.: Towards the Definition and Use of a Core Set of Archetypal Structures in System Dynamics. System Dynamics Review 19(1), 7–26 (2003)
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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
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