cs.AI updates on arXiv.org 09月30日
智能系统HeDA识别热浪风险路径
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本文介绍了一种名为HeDA的智能多智能体系统,用于通过知识图谱构建和多层风险传播分析来自动化科学发现。系统通过处理超过10,247篇学术论文,构建了一个包含23,156个节点和89,472个关系的知识图谱,并通过多层风险传播分析系统地识别出被忽视的风险传播路径。HeDA在复杂问答任务上的准确率达到78.9%,超过GPT-4等现有基准。系统成功发现了五条先前未知的重大风险链,如热浪导致水资源需求激增,最终导致中小企业中断等。

arXiv:2509.25112v1 Announce Type: new Abstract: Heatwaves pose complex cascading risks across interconnected climate, social, and economic systems, but knowledge fragmentation in scientific literature hinders comprehensive understanding of these risk pathways. We introduce HeDA (Heatwave Discovery Agent), an intelligent multi-agent system designed for automated scientific discovery through knowledge graph construction and multi-layer risk propagation analysis. HeDA processes over 10,247 academic papers to construct a comprehensive knowledge graph with 23,156 nodes and 89,472 relationships, employing novel multi-layer risk propagation analysis to systematically identify overlooked risk transmission pathways. Our system achieves 78.9% accuracy on complex question-answering tasks, outperforming state-of-the-art baselines including GPT-4 by 13.7%. Critically, HeDA successfully discovered five previously unidentified high-impact risk chains, such as the pathway where a heatwave leads to a water demand surge, resulting in industrial water restrictions and ultimately causing small business disruption, which were validated through historical case studies and domain expert review. This work presents a new paradigm for AI-driven scientific discovery, providing actionable insights for developing more resilient climate adaptation strategies.

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智能系统 热浪风险 知识图谱 多层风险传播 科学发现
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