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Simulating Social Complexity pp 13–21Cite as

Historical Introduction

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Author information

Authors and Affiliations

  1. Institut für Wirtschafts- und Verwaltungsinformatik, Universität Koblenz-Landau, Koblenz, Germany

    Klaus G. Troitzsch

Authors
  1. Klaus G. Troitzsch
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Corresponding author

Correspondence to Klaus G. Troitzsch .

Editor information

Editors and Affiliations

  1. CPM - Centre for Policy Modelling, Manchester Metropolitan University, Manchester, M1 3GH, United Kingdom

    Bruce Edmonds

  2. , Center for Policy Modelling, Manchester Metropolitan University, Aytoun Street, Manchester, M1 3GH, United Kingdom

    Ruth Meyer

Further Reading

Further Reading

Most of the literature suggested for further reading has already been mentioned. Epstein and Axtell’s (1996) work on generating societies gives a broad overview of early applications of agent-based modelling. Epstein (2006) goes even further as he defines this approach as the oncoming paradigm in social science. For the state of the art of agent-based modelling in the social sciences at the onset of this approach, the proceedings of early workshops and conferences on computational social science are still worth reading (Gilbert and Doran 1994; Gilbert and Conte 1995; Conte et al. 1997; Troitzsch et al. 1996).

And many early papers on computational social science were recently republished (Gilbert 2010).

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Troitzsch, K.G. (2013). Historical Introduction. In: Edmonds, B., Meyer, R. (eds) Simulating Social Complexity. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-93813-2_2

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  • DOI: https://doi.org/10.1007/978-3-540-93813-2_2

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  • Online ISBN: 978-3-540-93813-2

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