一篇新论文探讨了大型语言模型（LLM）代理如何在模拟群体中表现出涌现情感传染。该研究使用了一个多代理群体模拟，发现代理会根据其提示的个性、记忆和上下文来感知、评估和表达情绪。研究表明，情绪状态可以在这些代理中传播，其动态受空间布局、时间进程和代理个性特征等因素的影响。论文还指出，观察到的情感传染取决于用于评估的具体LLM后端。 AI
影响 这项研究可以为开发能够进行复杂社交互动、更成熟、更细致的AI代理提供信息。
排序理由 该集群包含一篇详细阐述新研究发现的学术论文。
在 arXiv cs.MA (Multiagent) 阅读 →
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2607.25140v1 Announce Type: new Abstract: This paper studies the behavior of language models in a multi-agent crowd simulation, focusing on how affect propagates among agents that perceive and appraise one another. Each agent perceives its neighbors through visual, auditory…
This paper studies the behavior of language models in a multi-agent crowd simulation, focusing on how affect propagates among agents that perceive and appraise one another. Each agent perceives its neighbors through visual, auditory, and tactile channels, then appraises these per…