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