Skip to main content

Historical Introduction

  • Chapter
  • First Online:
Simulating Social Complexity

Part of the book series: Understanding Complex Systems ((UCS))

Abstract

This chapter gives an overview of early attempts at modelling social processes in computer simulations. It discusses the early attempts, its successes and its shortcomings and tries to identify some of them as forerunners of modern simulation approaches.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Similar content being viewed by others

References

  • Abelson, R. P., & Bernstein, A. (1963). A computer simulation of community referendum controversies. Public Opinion Quarterly, 27, 93–122.

    Article  Google Scholar 

  • Alker Jr., H. R. (1974). Computer simulations: Inelegant mathematics and worse social science. International Journal of Mathematical Education in Science and Technology, 5, 139–155.

    Article  MATH  Google Scholar 

  • Axelrod, R. (1984). The evolution of cooperation. New York: Basic Books.

    MATH  Google Scholar 

  • Brassel, K. H., Möhring, M., Schumacher, E., & Troitzsch, K. G. (1997). Agents cover all the world? In R. Conte, R. Hegselmann, & P. Terna (Eds.), Simulating social phenomena, Lecture notes in economics and mathematical systems (Vol. 456, pp. 55–72). Berlin: Springer.

    Chapter  Google Scholar 

  • Coleman, J.S. (1964). Introduction to Mathematical Sociology. New York: The Free Press.

    Google Scholar 

  • Coleman, J. S. (1990). The foundations of social theory. Boston: Harvard University Press.

    Google Scholar 

  • Conte, R., Hegselmann, R., & Terna, P. (1997). Simulating social phenomena, Lecture notes in economics and mathematical systems (Vol. 456). Berlin: Springer.

    MATH  Google Scholar 

  • Epstein, J. M. (2006). Generative social science. Studies in agent-based computational modeling. Princeton: Princeton University Press.

    MATH  Google Scholar 

  • Epstein, J. M., & Axtell, R. (1996). Growing artificial societies. Social science from the bottom up. Washington, MA/Cambridge, MA: Brookings/MIT Press.

    Google Scholar 

  • Farmer, D., Toffoli, T., & Wolfram, S. (1984). Cellular automata. In Proceedings of an interdisciplinary workshop, Los Alamos, New Mexico, March 7–11, 1983. Amsterdam: North-Holland.

    Google Scholar 

  • Federico, P., Anthony, P., & Figliozzi, W. (1981). Computer simulation of social systems. Sociological Methods and Research, 9(4), 513–533.

    Article  Google Scholar 

  • Forrester, J. W. (1961). Industrial dynamics. Cambridge, MA: MIT/Wright Allen.

    Google Scholar 

  • Forrester, J. W. (1969). Urban dynamics. Cambridge, MA: MIT/Wright Allen.

    Google Scholar 

  • Forrester, J. W. (1971). World dynamics. Cambridge, MA: MIT/Wright Allen.

    Google Scholar 

  • Gardener, M. (1970). The game of life. Scientific American, 223(4), 120–123.

    Article  Google Scholar 

  • Gilbert, N., & Conte, R. (1995). Artificial societies: The computer simulation of social life. London: UCL Press.

    Google Scholar 

  • Gilbert, N., & Doran, J. E. (1994). Simulating societies: The computer simulation of social phenomena. London: UCL Press.

    Google Scholar 

  • Hare, A. P. (1961). Computer simulation of interaction in small groups. Behavioral Science, 6, 261–265.

    Google Scholar 

  • Hauke, J., Lorscheid, I., & Meyer, M. (2015). The recent development of social simulation as reflected in JASSS from 2008–2014: A citation and co-citation analysis. In 11th conference of the European social simulation association, Groningen, NL.

    Google Scholar 

  • Hegselmann, R. (1996). Cellular automata in the social sciences. Perspectives, restrictions, and artefacts. In R. Hegselmann, U. Mueller, & K. G. Troitzsch (Eds.), Modelling and simulation in the social sciences from the philosophy of science point of view (pp. 209–234). Dorrecht: Kluwer.

    Chapter  Google Scholar 

  • Ilachinski, A. (2001). Cellular automata. A discrete universe. Singapore: World Scientific.

    Book  MATH  Google Scholar 

  • Ithiel de Pool, S., & Abelson, R. P. (1961). The simulmatics project. Public Opinion Quarterly, 25, 167–183.

    Article  Google Scholar 

  • Ithiel de Pool, S., & Kessler, A. (1965). The Kaiser, the Czar, and the Computer: Information processing in a crisis. The American Behavioral Scientist, 8, 32–38.

    Google Scholar 

  • König, A., Möhring, M., & Troitzsch, K. G. (2002). Agents, hierarchies and sustainability. In F. Billari & A. Prskawetz-Fürnkranz (Eds.), Agent based computational demography (pp. 197–210). Physica: Berlin.

    Google Scholar 

  • Meadows, D. L., Behrens, W. W., Meadows, D. H., Naill, R. F., Randers, J., & Zahn, E. (1974). Dynamics of growth in a finite world. Cambridge, MA: Wright-Allen.

    Google Scholar 

  • Meyer, M., Lorscheid, I., & Troitzsch, K. G. (2009). The development of social simulation as reflected in the first ten years of JASSS: A citation and co-citation analysis. Journal of Artificial Societies and Social Simulation 12(4), 12. http://jasss.soc.surrey.ac.uk/12/4/12.html

  • Meyer, M., Zaggl, M. A., & Carley, K. M. (2010). Measuring CMOT’s intellectual structure and its development. Computational and Mathematical Organization Theory, 17, 1–34.

    Article  Google Scholar 

  • Nowak, A., & Latané, B. (1994). Simulating the emergence of social order from individual behaviour. In N. Gilbert & J. Doran (Eds.), Simulating societies: The computer simulation of social processes (pp. 63–84). London: University College of London Press.

    Google Scholar 

  • Nowak, A., Szamrej, J., & Latané, B. (1990). From private attitude to public opinion: A dynamic theory of social impact. Psychological Review, 97, 362–376.

    Article  Google Scholar 

  • Orcutt, G. (1957). A new type of socio-economic system. Review of Economics and Statistics, 58, 773–797.

    Google Scholar 

  • Ostrom, T. M. (1988). Computer simulation: The third symbol system. Journal of Experimental Social Psychology, 24, 381–392.

    Article  Google Scholar 

  • Poundstone, W. (1992). Prisoner’s dilemma. John von Neumann, game theory, and the puzzle of the bomb. Oxford: Oxford University Press.

    Google Scholar 

  • Schelling, T. C. (1971). Dynamic models of segregation. Journal of Mathematical Sociology, 1, 143–186.

    Article  MATH  Google Scholar 

  • Simon, H. A. (1996). Models of my life. Cambridge, MA: MIT Press.

    Google Scholar 

  • Troitzsch, K. G., Mueller, U., Gilbert, N., & Doran, J. E. (1996). Social science microsimulation. Berlin: Springer.

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Klaus G. Troitzsch .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Troitzsch, K.G. (2017). Historical Introduction. In: Edmonds, B., Meyer, R. (eds) Simulating Social Complexity. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-66948-9_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-66948-9_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66947-2

  • Online ISBN: 978-3-319-66948-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics