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English(EN) SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments

LLM驱动的代理在新的SenseWalk系统中模拟人类移动

研究人员开发了SenseWalk,一个旨在利用大型语言模型驱动的代理模拟语义轨迹的交互式系统。该系统旨在克服收集丰富语义数据以及现有模拟工具所需技术专长的挑战。SenseWalk将LLM与社会力模型相结合,以确保模拟人类移动在物理上的合理性和语义上的连贯性,并提供用户友好的定制和分析界面。 AI

影响 该系统通过提供一个更易于访问且语义丰富的模拟工具,有望推动人类行为建模和城市规划领域的研究。

排序理由 该集群包含一篇详细介绍新模拟系统的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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LLM驱动的代理在新的SenseWalk系统中模拟人类移动

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Ziyue Lin, Xinhang Xie, Kangyi Wang, Siming Chen ·

    SenseWalk: Agent-Based Semantic Trajectory Simulation Powered by Large Language Models in Zoned Environments

    arXiv:2607.00989v1 Announce Type: cross Abstract: Semantic trajectory analysis has recently emerged as an approach for modeling human movement by capturing implicit patterns and behaviors through semantic information (e.g., visitors' profiles and goals) beyond raw spatial paths t…

  2. arXiv cs.AI TIER_1 English(EN) · Siming Chen ·

    SenseWalk:基于大型语言模型的区域化环境中的基于代理的语义轨迹模拟

    Semantic trajectory analysis has recently emerged as an approach for modeling human movement by capturing implicit patterns and behaviors through semantic information (e.g., visitors' profiles and goals) beyond raw spatial paths to better understand why people move in certain way…