Artificial Intelligence Modelling: Data Driven and Theory Driven Approaches

  • Klaus Manhart
Conference paper


Building Theories is the central aim of empirical science and the computer is a valuable supporting tool for doing this. On the one hand, existing theories can be modelled precisely in form of computer programs, on the other hand theories and explanation facilities can develop from modelling empirical data by and by. Beyond traditional empirical methods, computer simulation is regarded more and more as the second pillar of empirical science and key technology for the next decades.


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  1. Allport, D.A. (1980) Patterns and Actions. In: G. Claxton ed. Cognitive Psychology: New Directions. Routledge Degan, London, pp. 26–64.Google Scholar
  2. Banerjee, S. (1986) Reproduction of Social Structure. An Artificial Intelligence Model. In: Journal of Conflict Resolution. 30, 2, pp. 221–252.Google Scholar
  3. Benfer, R.A., Brent, E.E., and Furbee, L. (1991) Expert Systems. Sage, Newbury Park CA.Google Scholar
  4. Boden, M. (1984) Artificial Intelligence and Social Forecasting. In: Journal of Mathematical Sociology. 9, pp. 341–356.Google Scholar
  5. Brent, E.E. (1986) Knowledge-Based Systems: A Qualitative Formalism. In: Qualitative Sociology. 9, 3, pp. 256–282.Google Scholar
  6. Clocksin, W.F., and Mellish, C.S. (1984) Programming in Prolog (2.ed.). Springer, Berlin.CrossRefGoogle Scholar
  7. Davis, J.A. (1970) Clustering and Hierarchy in Interpersonal Relations: Testing two Graph Theoretical Models on 742 Sociogramms. In: American Sociological Review. 35, pp. 27–33.Google Scholar
  8. Doran, J. (1985) The Computational Approach to Knowledge, Communication and Structure in Multi-Actor-Systems. In: Gilbert, G.N., and Heath, C. eds. Social Action and Artificial Intelligence. Gower, Aldershot, pp. 160–171.Google Scholar
  9. Frijda, N.H. (1967) Problems of Computer Simulation. In: Dutton, J.M., and Starbuck, W.H. eds. Computer Simulation of Human Behavior. Wiley, New York, pp. 610–618.Google Scholar
  10. Garson, G.D. (1987) The Role of Inductive Expert Systems Generators in the Social Science Research Process. Social Science Microcomputer Review 5, 1, pp. 11–21.CrossRefGoogle Scholar
  11. Glory, J.C., Masuch, M., and Marx, M. (1990) Formalizing Organizational Theory: A Knowledge-Based Approach. In: Masuch, M. ed. Organization, Management, and Expert Systems. Models of Automated Reasoning. de Gruyter, Berlin, pp. 79–104.Google Scholar
  12. Gullahorn, J.T., and Gullahorn, J.E. (1963) A Computer Model of Elementary Social Behavior. In: Behavioral Science 8, pp. 354–362.Google Scholar
  13. Hallinan, M. (1974) A Structural Model of Sentiment Relations. In: American Journal of Sociology. 80, pp. 364–378.Google Scholar
  14. Holland, P.W., and Leinhardt, S. (1971) Transitivity in Structural Models of Small Groups. In: Comparative Group Studies. 2, pp. 107–124.Google Scholar
  15. Hummell, H.J., and Sodeur, W. (1987) Triaden-und Triplettzensus als Mittel der Strukturbeschreibung. In: J. van Koolwijk and Wieken-Mayser, M. eds. Techniken der empirischen Sozialforschung Bd. 1. Methoden der Netzwerkanalyse. Oldenbourg, Mýnchen, pp. 129–161.Google Scholar
  16. Kowalski, R. (1979) Logic for Problem Solving. North Holland, New York.Google Scholar
  17. Langley, P. (1979) Rediscovering Physics with BACON.3. In: Proceedings of the Sixth International Joint Conference on Artificial Intelligence. Vol.1, Tokyo, pp. 505–507.Google Scholar
  18. Langley, P., Simon, H.A., Bradshaw, G.L., and Zytkow, J.M. (1987) Scientific Discovery: Computational Explorations of the Creative Processes. MIT Press, Cambridge, Mass.Google Scholar
  19. Manhart, K. (1995) KI-Modelle in den Sozialwissenschaften. Logische Struktur und wissensbasierte Systeme von Balancetheorien. Oldenbourg, München.Google Scholar
  20. Merritt, D. (1989) Building Expert Systems in Prolog. Springer, Berlin.CrossRefGoogle Scholar
  21. Opp, K.D. (1984) Balance Theory: Progress and Stagnation of a Social Psychological Theory. In: Philosophy of the Sociological Sciences. 14, pp. 27–50.Google Scholar
  22. Péli, G., Bruggeman, J., Masuch, M., and Nuallain, B. (1994) A Logical Approach to Organizational Ecology: Formalizing the Inertia-Fragment in First-Order Logic. In American Sociological Review 59, pp. 571–593.Google Scholar
  23. Read, D., and Behrens, C. (1989) Modeling Folk Knowledge as Expert Systems. In: Anthropological Quarterly. 62, pp. 107–120.Google Scholar
  24. Rich, E. (1983) Artificial Intelligence. McGraw-Hill, New York.Google Scholar
  25. Slezak, P. (1989) Scientific Discovery by Computer as Empirical Refutation of the Strong Programme. In: Social Studies of Science. 19, pp. 563–600.Google Scholar
  26. Sylvan, D., and Glassner, B. (1985) A Rationalist Methodology for the Social Sciences. Blackwell, New York.Google Scholar
  27. Waterman, D.A. (1986) A Guide to Expert Systems. Addison-Wesley, Reading, Mass.Google Scholar
  28. Winston, P.H., and Horn, B.K.P. (1981) Lisp. Addison-Wesley, Reading, Mass.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Klaus Manhart
    • 1
  1. 1.Institut für SoziologieUniversität LeipzigLeipzigGermany

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