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Climb-Forest partners at KIT are researching how Large Language Models (LLMs) can simulate the behaviour of policy actors within institutional networks. Their work explores how these actors adjust policy instruments to meet multiple policy targets and how such decisions shape land use dynamics.
Read the article linked below to find out more about their work and the exciting InsNet-CRAFTY (Institutional Network – Competition for Resources between Agent Functional Types) v1.0 a multi-LLM-agent model with a polycentric institutional framework coupled with an agent-based land system model.
