Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Highlands Rewilding Limited, The Old School House, Bunloit, Drumnadrochit, IV63 6XG, UK
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Mark Rounsevell
Institute of Meteorology and Climate Research, Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, 82467 Garmisch-Partenkirchen, Germany
Institute of Geography and Geo-ecology, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany
School of Geosciences, University of Edinburgh, Drummond Street, Edinburgh, EH8 9XP, UK
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Total article views: 3,067 (including HTML, PDF, and XML)
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2,534
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BibTeX: 67
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1,462
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HTML: 1,462
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Viewed (geographical distribution)
Total article views: 5,090 (including HTML, PDF, and XML)
Thereof 5,090 with geography defined
and 0 with unknown origin.
Total article views: 3,067 (including HTML, PDF, and XML)
Thereof 3,067 with geography defined
and 0 with unknown origin.
Total article views: 2,023 (including HTML, PDF, and XML)
Thereof 2,023 with geography defined
and 0 with unknown origin.
Understanding environmental policy interventions is challenging due to complex institutional actor interactions. Large language models (LLMs) offer new solutions by mimicking the actors. We present InsNet-CRAFTY v1.0, a multi-LLM-agent model coupled with a land system model, simulating competing policy priorities. The model shows how LLM agents can simulate decision-making in institutional networks, highlighting both their potential and limitations in advancing land system modelling.
Understanding environmental policy interventions is challenging due to complex institutional...