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English(EN) TRACE: A Multi-Agent System for Autonomous Physical Reasoning for Seismology

AI系统TRACE赋能地震学自主物理推理

研究人员开发了TRACE,一个新颖的多智能体AI系统,专为地震学中的自主物理推理而设计。该系统能够规划和执行工作流,并维护从观测到解释的可审计证据链。TRACE在基准任务和两次地震序列上进行了评估,成功重建了2019年里奇克雷斯特地震序列,并对2025-2026年三陆地震序列提出了新的解释,将地震和非地震活动与大断层失稳联系起来。 AI

影响 该系统有望推动对复杂地震事件的解释,并增进对地震动力学的理解。

排序理由 该集群描述了一篇研究论文,详细介绍了一个用于地震学物理推理的新AI系统。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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AI系统TRACE赋能地震学自主物理推理

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该集群描述了一篇研究论文,详细介绍了一个用于地震学物理推理的新AI系统。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Feng Liu, Xin Cui, Jian Xu, Xinghao Wang, Zijie Guo, Jiong Wang, S. Mostafa Mousavi, Xinyu Gu, Hao Chen, Ben Fei, Lihua Fang, Fenghua Ling, Zefeng Li, Lei Bai ·

    TRACE:用于地震学自主物理推理的多智能体系统

    arXiv:2603.21152v4 Announce Type: replace-cross Abstract: Modern seismic networks resolve earthquake sequences in unprecedented detail, yet explaining how large earthquakes emerge from evolving fault systems remains difficult. We introduce TRACE, a seismology-guided artificial in…