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English(EN) LLM-Augmented Agent-Based Simulation of Cyber Social Agents

LLM增强的模拟模型赛博社交代理

研究人员开发了一种模拟在线社交动态的新方法,将自动化参与者概念化为赛博社交代理(CSA)。该框架将CSA原型分类法(由其操作策略和修辞风格定义)整合到一个由大型语言模型(LLM)驱动的模拟中。该模拟允许这些代理在网络环境中进行通信和协调,从而能够研究代理多样性如何影响在线社会中的信息传播和社会影响力。 AI

影响 这项研究可能有助于更深入地理解和模拟在线社交动态和信息传播。

排序理由 该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的模拟方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

LLM增强的模拟模型赛博社交代理

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该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的模拟方法。[lever_c_demoted from research: ic=1 ai=1.0]
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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.
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lynnette Hui Xian Ng, Kathleen M. Carley ·

    LLM增强的基于代理的赛博社交代理模拟

    arXiv:2610.32988v1 Announce Type: cross Abstract: Social media bots are often portrayed as malicious automations to be detected and removed, but automation on social media platforms encompasses a wide spectrum of roles, behaviors, and rhetorical strategies that can shape online d…