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Agent-Based Computational Modelling: An Introduction

In: Agent-Based Computational Modelling

Author

Listed:
  • Francesco C. Billari

    (Università Bocconi)

  • Thomas Fent

    (ETH Zurich)

  • Alexia Prskawetz

    (Austrian Academy of Sciences)

  • Jürgen Scheffran

    (University of Illinois at Urbana-Champaign)

Abstract

Summary Agent-based models (ABMs) are increasingly used in studying complex adaptive systems. Micro-level interactions between heterogeneous agents are at the heart of recent advances in modelling of problems in the social sciences, including economics, political science, sociology, geography and demography, and related disciplines such as ecology and environmental sciences. Scientific journals and societies related to ABMs have flourished. Some of the trends will be discussed, both in terms of the underlying principles and the fields of application, some of which are introduced in the contributions to this book.

Suggested Citation

  • Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran, 2006. "Agent-Based Computational Modelling: An Introduction," Contributions to Economics, in: Francesco C. Billari & Thomas Fent & Alexia Prskawetz & Jürgen Scheffran (ed.), Agent-Based Computational Modelling, pages 1-16, Springer.
    • Handle: RePEc:spr:conchp:978-3-7908-1721-8_1
    DOI: 10.1007/3-7908-1721-X_1
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    Citations

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    Cited by:

    1. Jiunyan Wu & Tomoki Sekiguchi, 2020. "A multilevel and dynamic model of intragroup conflict and decision making: application of agent-based modeling," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
    2. Leonardo Augusto Amaral Terra & João Luiz Passador, 2018. "Strategies for the Study of Complex Socio-Economic Systems: an Approach Using Agent-Based Simulation," Systemic Practice and Action Research, Springer, vol. 31(3), pages 311-325, June.
    3. Sascha Holzhauer & Friedrich Krebs & Andreas Ernst, 2013. "Considering baseline homophily when generating spatial social networks for agent-based modelling," Computational and Mathematical Organization Theory, Springer, vol. 19(2), pages 128-150, June.
    4. Lynne Hamill & Nigel Gilbert, 2009. "Social Circles: A Simple Structure for Agent-Based Social Network Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-3.
    5. Maria Winkler-Dworak & Eva Beaujouan & Paola Di Giulio & Martin Spielauer, 2021. "Simulating family life courses: An application for Italy, Great Britain, Norway, and Sweden," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(1), pages 1-48.
    6. Toni Mora, 2010. "BMI and Spanish labour status: evidence by gender from the city of Barcelona," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(3), pages 239-253, June.
    7. Juan Miguel Rodriguez-Lopez & Meike Schickhoff & Shubhankar Sengupta & Jürgen Scheffran, 2021. "Technological and social networks of a pastoralist artificial society: agent-based modeling of mobility patterns," Journal of Computational Social Science, Springer, vol. 4(2), pages 681-707, November.
    8. Dimitris Kremmydas, 2012. "Agent based modeling for agricultural policy evaluation: A review," Working Papers 2012-3, Agricultural University of Athens, Department Of Agricultural Economics.

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