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Simulating Economic Agents in Swarm

A short tutorial for economists and other social scientists

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Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming

Part of the book series: Advances in Computational Economics ((AICE,volume 14))

Abstract

Markets for goods and services in modern economies are probably among the most complex dynamic systems which science has tried to analyze and model. It is well known that modern economics inherited a large share of its mathematical formalism and thus modeling apparatus from theoretical physics. This marriage is not always a happy one. Economic and social systems consist of agents which think and react. The elementary particles of matter do not observe, learn and influence each others decisions. Much is therefore lost in the translation from economic behavior to the mathematical language of modern economic theory.

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References

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Author information

Authors and Affiliations

  1. Department of Economics, UCLA, USA

    Benedikt Stefansson

Authors
  1. Benedikt Stefansson
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Editor information

Editors and Affiliations

  1. Università di Venezia Ca’Foscari, Venice, Italy

    Francesco Luna

  2. Oberlin College, Ohio, USA

    Francesco Luna

  3. University of California Los Angeles, USA

    Benedikt Stefansson

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© 2000 Springer Science+Business Media New York

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Stefansson, B. (2000). Simulating Economic Agents in Swarm. In: Luna, F., Stefansson, B. (eds) Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming. Advances in Computational Economics, vol 14. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4641-2_1

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  • DOI: https://doi.org/10.1007/978-1-4615-4641-2_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7099-4

  • Online ISBN: 978-1-4615-4641-2

  • eBook Packages: Springer Book Archive

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