IntelliSwarm (inSwarm) Documentation
IntelliSwarm is a comprehensive Python framework for large-scale multi-agent simulation and analysis. It provides a modular, extensible platform for studying collective behavior, swarm intelligence, and multi-agent systems across various domains including biology, robotics, and social sciences.
Key Features
Modular Architecture: Extensible design with pluggable components
Multi-Agent Systems: Support for heterogeneous populations and complex interactions
Real-time Visualization: Advanced rendering capabilities for simulation analysis
Data Logging: Comprehensive logging and export capabilities (CSV, NPZ, MAT formats)
Control Systems: Sophisticated controllers for shepherding and guidance behaviors
Scientific Computing: Integration with NumPy, SciPy, and scientific Python ecosystem
Gym Integration: OpenAI Gym environments for reinforcement learning applications
Quick Start
from swarmsim import Simulator
from swarmsim.Populations import BrownianMotion
from swarmsim.Environments import EmptyEnvironment
# Create a simple swarm simulation
population = BrownianMotion(n=100, x_dim=2)
environment = EmptyEnvironment()
simulator = Simulator(populations=[population], environment=environment)
# Run simulation
for step in range(1000):
simulator.step()
Getting Started
API Reference
API Documentation
Examples and Tutorials
Research Applications
SwarmSim has been used in various research contexts:
Collective Animal Behavior: Modeling flocking, schooling, and herding behaviors
Robotics: Multi-robot coordination and swarm robotics applications
Social Dynamics: Crowd behavior and social network simulations
Biological Systems: Cellular dynamics and population ecology studies
Reinforcement Learning: Multi-agent RL environments and training
Contributing
We welcome contributions! Please see our GitHub repository for development guidelines and issue tracking.
Citation
If you use SwarmSim in your research, please cite:
@software{swarmsim2025,
title={SwarmSim: A Large-Scale Multi-Agent Simulation Framework},
author={SINCRO Group},
year={2025},
url={https://github.com/SINCROgroup/large_scale_multi_agent_simulator}
}