English(EN) LiveSim: Simulating Environment-Shaped Users in Multi-Agent Live-Stream Ecosystems

LiveSim框架模拟直播生态系统中不断演变的用户行为

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-27 09:16

研究人员开发了LiveSim，一个旨在模拟多智能体直播环境中用户行为的新框架。与使用静态用户画像的先前模拟器不同，LiveSim将用户表示为通过交互而演变出的动态行为假设。这种方法允许基于模拟轨迹与观察轨迹之间的差异来完善用户行为，从而捕捉环境的影响。使用真实直播数据的实验证明了LiveSim能够提高用户级别的行为准确性，并支持对风险和平台干预的生态系统级别分析。 AI

影响增强了直播平台等复杂、交互式数字环境的模拟能力。

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

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍新模拟框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.MA (Multiagent) TIER_1 English(EN) · Xueqi Cheng · 2026-08-27 09:16

LiveSim：在多智能体直播生态系统中模拟受环境塑造的用户

User behavior simulation with large language models~(LLMs) is increasingly used to support multi-agent ecosystem simulation. Existing simulators typically rely on static user profiles inferred from historical observations, which become inadequate in socially intensive environment…

本文如何被排名

报道来源 [1]

LiveSim：在多智能体直播生态系统中模拟受环境塑造的用户

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