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Formal Models, Social Theory and Computer Simulations: Some Methodical Reflections

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Abstract

The article deals with the problem of general methodical foundations of computational sociology or mathematical sociology respectively. It proposes a universal schema for modelling, based on the conception of social domains as formal systems or nets. The goals for constructing formal models in the social sciences are defined as theory testing, theory developing and analysing universal Turing machines in order to obtain general laws concerning the behaviour of complex social systems. We illustrate our meta-theoretical considerations with different examples of our own research.

Suggested Citation

  • Jürgen Klüver & Christina Klüver & Jörn Schmidt, 2003. "Formal Models, Social Theory and Computer Simulations: Some Methodical Reflections," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-8.
    • Handle: RePEc:jas:jasssj:2002-32-2
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    File URL: http://jasss.soc.surrey.ac.uk/6/2/8.html
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    Cited by:

    1. Ousanee Sawagvudcharee & Maurice Yolles & Gerhard Fink & Paul Iles & Chanchai Bunchapattanasakda & Buncha Limpabandhu, 2018. "Understanding Corporate Life-Cycles," Journal of Education and Vocational Research, AMH International, vol. 8(4), pages 15-27.
    2. Nuno David & Jaime Simão Sichman & Helder Coelho, 2005. "The Logic of the Method of Agent-Based Simulation in the Social Sciences: Empirical and Intentional Adequacy of Computer Programs," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-2.
    3. Jürgen Klüver & Rouven Malecki & Jörn Schmidt & Christina Stoica, 2003. "Sociocultural Evolution and Cognitive Ontogenesis: A Sociocultural-Cognitive Algorithm," Computational and Mathematical Organization Theory, Springer, vol. 9(3), pages 255-273, October.

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