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Visual ODD: A Standardised Visualisation Illustrating the Narrative of Agent-Based Models

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Abstract

Agent-based models (ABMs) are commonly used tools across diverse disciplines, from ecology to social sciences and technology. Despite the effectiveness of the widely adopted Overview, Design concepts, and Details (ODD) protocol in ensuring transparency in ABM design and assumptions, the accompanying model descriptions are often lengthy, making quick overviews challenging. To facilitate comprehension, manuscripts, presentations, and posters often include visualisations of the model. Yet, the diversity of visualisation approaches complicates model comparisons and requires additional time for viewers to grasp the figure layouts. Additionally, these visualisations are usually poorly linked to corresponding sections of the written ODD model description. To address these challenges, we propose the standardised visual ODD (vODD) aimed to provide a quick overview of models and simplify the link to the written model description for readers who are more interested in specific elements. The standardised visualisation assigns defined positions for ODD elements for easy reference and comparison. We provide examples and guidance on constructing vODDs, along with templates for modellers to create their own visuals. While advocating for simplicity, we also illustrate how more complex models can still be effectively depicted in such visualisations. By establishing a generalised visualisation applicable to agent-based and other simulation models, we aim to improve the rapid comprehension of models and streamline graphical model representations in manuscripts, presentations, and posters.

Suggested Citation

  • Leonna Szangolies & Marie-Sophie Rohwäder & Hazem Ahmed & Fatima Jahanmiri & Alexander Wagner & Rodrigo Souto-Veiga & Volker Grimm & Cara Gallagher, 2024. "Visual ODD: A Standardised Visualisation Illustrating the Narrative of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 27(4), pages 1-1.
  • Handle: RePEc:jas:jasssj:2024-16-2
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