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Best Practices in Programming Agent-Based Models in Economics and Finance

In: Advances in Artificial Economics

Author

Listed:
  • A. Vermeir

    (Université Libre de Bruxelles)

  • H. Bersini

    (Université Libre de Bruxelles)

Abstract

The planning phase of an ABM is a critical step to produce robust and understandable implementations. An isolation of business logic, an object structure inspired by the real world counterpart of the model and the usage of design patterns such as the strategy and the observer are efficient ways to improve the model without sacrificing simplicity. Inspired by concrete examples from the refactoring of the Black Rhino model, we demonstrate the enrichment provided by our recommendations.

Suggested Citation

  • A. Vermeir & H. Bersini, 2015. "Best Practices in Programming Agent-Based Models in Economics and Finance," Lecture Notes in Economics and Mathematical Systems, in: Frédéric Amblard & Francisco J. Miguel & Adrien Blanchet & Benoit Gaudou (ed.), Advances in Artificial Economics, edition 127, pages 57-68, Springer.
    • Handle: RePEc:spr:lnechp:978-3-319-09578-3_5
    DOI: 10.1007/978-3-319-09578-3_5
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    Cited by:

    1. Margarida V. B. Santos & Isabel Mota & Pedro Campos, 2023. "Analysis of online position auctions for search engine marketing," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 409-425, September.

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