BotVerse: Real-Time Event-Driven Simulation of Social Agents
Fuente:
arXiv
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866912992203898880 |
|---|---|
| author | Allegrini, Edoardo Di Paolo, Edoardo Spognardi, Angelo Petrocchi, Marinella |
| author_facet | Allegrini, Edoardo Di Paolo, Edoardo Spognardi, Angelo Petrocchi, Marinella |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_29741 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | BotVerse: Real-Time Event-Driven Simulation of Social Agents Allegrini, Edoardo Di Paolo, Edoardo Spognardi, Angelo Petrocchi, Marinella Social and Information Networks Artificial Intelligence Multiagent Systems 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. |
| title | BotVerse: Real-Time Event-Driven Simulation of Social Agents |
| topic | Social and Information Networks Artificial Intelligence Multiagent Systems |
| url | https://arxiv.org/abs/2603.29741 |