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Gen*: realistic synthetic population generation plugin for Gama

Abstract : Context: The increasing complexity of agent-based socio-environmental models raises the issue of data integration. In fact, descriptive ABM (Edmonds & Moss, 2005) heavily rely on input data: in order to setup initial model state to mimic the targeted system, modelers have to collect, harmonize and integrate data that comes in various shape, quality and quantity. This is usually done following rules-of-thumbs and case by case methodology that limit model's reproducibility, modularity and re-usability (Kehoe, 2017).
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https://hal-univ-tlse3.archives-ouvertes.fr/hal-03461376
Contributor : Benoit Gaudou Connect in order to contact the contributor
Submitted on : Wednesday, December 1, 2021 - 12:30:13 PM
Last modification on : Tuesday, January 4, 2022 - 6:12:13 AM

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  • HAL Id : hal-03461376, version 1

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Kevin Chapuis, Patrick Taillandier, Benoit Gaudou. Gen*: realistic synthetic population generation plugin for Gama. GAMA Days 2021, Frédéric Amblard; Kevin Chapuis; Alexis Drogoul; Benoit Gaudou; Dominique Longin; Nicolas Verstaevel, Jun 2021, Online, France. ⟨hal-03461376⟩

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