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.

Python Version

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

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}
}

Indices and Tables