AgentSociety
AgentSociety is an advanced framework specifically designed for building agents in urban simulation environments. With AgentSociety, you can easily create and manage agents, enabling complex urban scenarios to be modeled and simulated efficiently.
Key Features
- Mind-Behavior Coupling: Integrates LLMs' planning, memory, and reasoning capabilities to generate realistic behaviors or uses established theories like Maslow's Hierarchy of Needs and Theory of Planned Behavior for explicit modeling.
- Environment Design: Supports dataset-based, text-based, and rule-based environments with varying degrees of realism and interactivity.
- Interactive Visualization: Real-time interfaces for monitoring and interacting with agents during experiments.
- Extensive Tooling: Includes utilities for interviews, surveys, interventions, and metric recording tailored for social experimentation.
Benefits
- Robust Framework: Simulates social behaviors and economic activities in a controlled, virtual environment.
- Human-like Decision Making: Emulates human-like decision-making and interactions using advanced LLMs.
- Community Contributions: Welcomes contributions from the community, fostering collaboration and innovation.
Highlights
- Easy setup via pip for quick start.
- Comprehensive documentation and example scripts available for users.
- Licensed under the MIT License, promoting open-source collaboration.
