BotVerse: Real-Time Event-Driven Simulation of Social Agents
arXiv:2603.29741v1 Announce Type: cross
Abstract
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 BotVerse via 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 this link.
Key Features of BotVerse
- Scalability: Designed to handle numerous agents and interactions simultaneously, making it suitable for large-scale simulations.
- Event-Driven Architecture: Facilitates real-time responses and interactions between simulated agents based on event triggers.
- Ethical Isolation: Provides a controlled environment to study social interactions without risking real-world consequences.
- Real-Time Content Integration: Utilizes live data streams from the Bluesky ecosystem to ground simulations in current social dynamics.
- Customizable Personas: Researchers can create and modify agent profiles to simulate diverse social behaviors and interactions.
- Multimodal Interaction Observation: Allows for the tracking and analysis of different forms of communication and interaction styles among agents.
Applications and Use Cases
BotVerse opens new avenues for research and experimentation in various fields, including:
- Red-Teaming: By simulating disinformation scenarios, researchers can assess the resilience of information ecosystems.
- Computational Social Science: Provides insights into human behavior and social dynamics in a risk-free setting.
- Ethical AI Development: Helps explore the implications of autonomous agents and their interactions without real-world repercussions.
- Policy Testing: Simulations can inform policymakers about potential outcomes of regulatory changes in social media environments.
Conclusion
BotVerse represents a significant advancement in the field of social simulation, offering a versatile platform for researchers to explore complex interactions among social agents in a safe and ethical manner. As the landscape of digital communication continues to evolve, tools like BotVerse will be essential for understanding the implications of these changes on society. The ability to simulate real-time interactions and study their effects will empower researchers and policymakers to make informed decisions based on empirical evidence.