KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science
The article discusses the development of the Knowledge Infrastructure for Scientific Simulation (KISS), aimed at improving access to process-based simulation models in Earth sciences. It highlights the effectiveness of KISS in enabling agents to produce verifiable simulations, significantly outperforming those without the infrastructure. The authors propose that KISS can facilitate collaboration and knowledge sharing across various scientific disciplines.
- ▪KISS is designed to make process-based simulation models more accessible to communities at risk from climate change and resource scarcity.
- ▪Agents equipped with KISS achieved successful simulations in up to 84% of trials, compared to less than 40% for those without it.
- ▪The Knowledge Dissection Toolkit (KDT) allows for the autonomous creation of KIs for various Earth-science models.
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Computer Science > Artificial Intelligence arXiv:2605.17856 (cs) [Submitted on 18 May 2026] Title:KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science Authors:Ziwei Li, Liujun Zhu, Yuchen Liu, Yichen Zhao, Birk Li, Ruiqi Wu, Junliang Jin, Jianyun Zhang View a PDF of the paper titled KISS - Knowledge Infrastructure for Scientific Simulation: A Scaffolding for Agentic Earth Science, by Ziwei Li and 7 other authors View PDF HTML (experimental) Abstract:Process-based simulation models encode decades of scientific understanding across the Earth sciences, yet the communities most exposed to climate risk and resource scarcity are the least able to use them.
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