Abstract
Replicating existing agent-based models poses significant challenges, particularly for those new to the field. This article presents an all-encompassing guide to re-implementing agent-based models, encompassing vital concepts such as comprehending the original model, utilizing agent-based modeling frameworks, simulation design, model validation, and more. By embracing the proposed guide, researchers and practitioners can gain a profound understanding of the entire re-implementation process, resulting in heightened accuracy and reliability of simulations for complex systems. Furthermore, this article showcases the re-implementation of the HUMAT socio-cognitive architecture, with a specific focus on designing a versatile, language-independent model. The encountered challenges and pitfalls in the re-implementation process are thoroughly discussed, empowering readers with practical insights. Embrace this guide to expedite model development while ensuring robust and precise simulations.
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Notes
- 1.
Note that the initiation of this step is independent from initiation of the other steps and can start at any time.
- 2.
CoMSES Model Library, https://www.comses.net/codebases/, last access on 11/05/2023.
- 3.
URBANE, https://www.urbane-horizoneurope.eu, last access on 10/05/2023.
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Acknowledgements
The work reported here is part of the URBANE project, which has received funding from the European Union’s Horizon Europe Innovation Action under grant agreement No. 101069782. We thank the reviewers for the thoughtful remarks, especially related to the popularization ideas.
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Gürcan, Ö., Szczepanska, T., Antosz, P. (2024). A Guide to Re-implementing Agent-Based Models: Experiences from the HUMAT Model. In: Elsenbroich, C., Verhagen, H. (eds) Advances in Social Simulation. ESSA 2023. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-031-57785-7_40
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