A Guide to Re-Implementing Agent-based Models: Experiences from the HUMAT Model
<|reference_start|>A Guide to Re-Implementing Agent-based Models: Experiences from the HUMAT Model: 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.<|reference_end|>
@article{gürcan2024a,
    title={A Guide to Re-Implementing Agent-based Models: Experiences from the
  HUMAT Model},
    author={"Onder G"urcan, Timo Szczepanska, Patrycja Antosz},
    journal={arXiv preprint arXiv:2405.03994},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.03994},
    primaryClass={cs.MA}
}