AI Agents 相关度: 9/10

BotVerse: Real-Time Event-Driven Simulation of Social Agents

Edoardo Allegrini, Edoardo Di Paolo, Angelo Spognardi, Marinella Petrocchi
arXiv: 2603.29741v1 发布: 2026-03-31 更新: 2026-03-31

AI 摘要

BotVerse是一个基于LLM Agent的事件驱动型社交模拟框架,用于安全研究。

主要贡献

  • 提出了一个可扩展的事件驱动社交模拟框架
  • 设计了异步编排API和模拟引擎,模拟人类行为模式
  • 构建了Synthetic Social Observatory用于大规模观察

方法论

通过LLM驱动的Agent模拟,在受控环境中复现社交网络交互,并基于真实数据流进行 grounding。

原文摘要

BotVerse is a scalable, event-driven framework for high-fidelity social simulation using LLM-based agents. It addresses the ethical risks of studying autonomous agents on live networks by isolating interactions within a controlled environment while grounding them in real-time content streams from the Bluesky ecosystem. The system features an asynchronous orchestration API and a simulation engine that emulates human-like temporal patterns and cognitive memory. Through the Synthetic Social Observatory, researchers can deploy customizable personas and observe multimodal interactions at scale. We demonstrate BotVersevia a coordinated disinformation scenario, providing a safe, experimental framework for red-teaming and computational social scientists. A video demonstration of the framework is available at https://youtu.be/eZSzO5Jarqk.

标签

社交模拟 LLM Agent 事件驱动 安全研究

arXiv 分类

cs.SI cs.AI cs.MA