Agentic World Analysis (AWA) - an alternative way to explore systems and support decision making
3.40T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.24896.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryPaper introduces Agentic World Analysis (AWA), a framework combining agentic AI, simulation modeling, and expert elicitation to study complex socio-environmental systems. Authors implement WEGA and test it on the Netherlands Nitrogen Crisis, producing two 2026–2041 scenario pathways evaluated for coherence and quality.
Why it mattersConcrete pattern for structuring agentic AI as an auditable expert panel on complex policy problems. The iterative scenario-tree loop and self-built context are transferable to other domains.
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