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Multilevel Simulation

  • Klaus G. Troitzsch
Conference paper

Abstract

In this paper, we consider an approach to formal modeling in the social sciences — including both mathematical analysis and computer simulation — which has brought new insights for a realm of science dealing with systems of high complexity undergoing changes in time or, to formulate it the other way round, dealing with processes going on in complex systems, and discuss what has to be added to the common practice of formal modeling to make it successful in contributing to the progress of social science.

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References

  1. Bunge, M. (1979) Ontology II: A world of systems. Treatise on basic philosophy, vol. 4. Reidel, Dordrecht, Boston, London.Google Scholar
  2. Cobb, L. (1978) Stochastic catastrophe models and multimodal distributions. Behavioral Science, 23, pp. 360–374.CrossRefGoogle Scholar
  3. Grünbaum, A. (1962) Temporally-asymmetric principles, parity between explanation and prediction, and mechanism and teleology. Philosophy of Science, 29, pp. 162–170.Google Scholar
  4. Haken, H. (1988) Information and Self-Organization. A Macroscopic Approach to Complex Systems. Springer Series in Synergetics, vol. 40. Springer, Berlin, Heidelberg, New York.Google Scholar
  5. Hayek, F.A.. (1942) Scientism and the study of society. Economica, 9, pp. 267–291; 10, pp. 34–63; 11, pp. 27–39.Google Scholar
  6. Henize, J. (1984) Critical issues in evaluating socio-economic models. In: Ören, T.I., Zeigler, B.P., and Elzas, M.S. (eds.) Simulation and Model-Based Methodologies: An Integrative View,NATO Advanced Science Institutes Series, Series F: Computer and Systems Science, vol. 10, Springer: Berlin, Heidelberg, New York, Tokyo, pp. 557–590.Google Scholar
  7. Homans, G.C.. (1950) The Human Group. Harpers, New York.Google Scholar
  8. Kirk, J., and Coleman, J.S.. (1967) Formalisierung und Simulation von Interaktionen in einer Drei-Personen-Gruppe. In: Mayntz, R. (ed.) Formalisierte Modelle in der Soziologie, volume 39 of Soziologische Texte, Luchterhand, Neuwied, pp. 169–190.Google Scholar
  9. Lumsden, C.J., and Wilson, E.O. (1981) Genes, Mind, and Culture. The Coevolutionary Process. Harvard University Press, Cambridge, Mass., London.Google Scholar
  10. Möhring, M. (1990) MIMOSE. Eine funktionale Sprache zur Beschreibung und Simulation Google Scholar
  11. individuellen Verhaltens in interagierenden Populationen. PhD thesis, Universität Koblenz.Google Scholar
  12. Sartori, G. (1976) Parties and Party Systems. A Framework for Analysis. Cambridge University Press, Cambridge MA.Google Scholar
  13. Schnell, R. (1992) Artificial intelligence, computer simulation and theory construction. In: Faulbaum, F. (ed.) SoftStat ‘81. Advances in Statistical Software 3, Gustav Fischer. Stuttgart, Jena, New York, pp. 335–342Google Scholar
  14. Scriven, M. Explanation and prediction as non-symmetrical. explanation and prediction in evolutionary theory. In: Krimerman, L.I. (ed.) The Nature and Scope of Social Science. A Critical Anthology, Appleton-Century-Crofts, New York, pp. 117–125; originally in Science 130, 1959, pp. 477–482.Google Scholar
  15. Simon, H.A. (1957) Models of Man, Social and Rational. Mathematical Essays on Rational Human Behavior in a Social Setting. Wiley, New York.Google Scholar
  16. Troitzsch, K.G.. (1990) Self-organisation in social systems. In Gladitz, J., and Troitzsch, K.G. (eds.) Computer Aided Sociological Research. Proceedings of the Workshop “Computer Aided Sociological Research” (CASOR’89), Holzhau/DDR, October 2nd-6th, 1989, Akademie-Verlag, Berlin, pp. 353–377.Google Scholar
  17. Troitzsch, K.G.. (1991) A comparison of some models of processes of self-organization. In Ebeling, W., Peschel, M., and Weidlich, W. (eds.) Models of Self-Organization in Complex Systems, Akademie-Verlag, Berlin, pp. 106–116.Google Scholar
  18. Troitzsch, K.G.. (1994) The evolution of technologies. In Doran, J.E., and Gilbert, G.N. (eds) Simulating Societies: the Computer Simulation of Social Phenomena, University College London Press, London, pp. 41–62.Google Scholar
  19. Wolfgang Weidlich. (1991) Physics and social science — the approach of synergetics. Physics Reports, 204 (1): 1–163.CrossRefGoogle Scholar
  20. Wolfgang Weidlich and Günter Haag. (1983) Concepts and Models of a Quantitative Sociology. The Dynamics of Interacting Populations. Springer Series in Synergetics, vol. 14. Springer, Berlin, Heidelberg, New York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Klaus G. Troitzsch
    • 1
  1. 1.Institut für Sozialwissenschaftliche InformatikUniversität Koblenz-LandauKoblenzGermany

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