AgentSimulation offers a versatile open-source platform where developers define autonomous agents with behaviors like seek, flee, arrive, and obstacle avoidance. It delivers real-time visualization and customizable environments for rapid prototyping in agent-based modeling and educational use.
AgentSimulation offers a versatile open-source platform where developers define autonomous agents with behaviors like seek, flee, arrive, and obstacle avoidance. It delivers real-time visualization and customizable environments for rapid prototyping in agent-based modeling and educational use.
AgentSimulation is an open-source Python library built on Pygame for simulating multiple autonomous agents in a 2D environment. It allows users to configure agent properties, steering behaviors (seek, flee, wander), collision detection, pathfinding, and interactive rules. With real-time rendering and modular design, it supports rapid prototyping, teaching simulations, and small-scale research in swarm intelligence or multi-agent interactions.
Who will use AgentSimulation?
AI researchers
Educators and students
Game developers prototyping AI
Hobbyists interested in agent-based modeling
How to use the AgentSimulation?
Step1: Clone the repository from GitHub
Step2: Install required dependencies via pip (e.g., pygame)
Step3: Define agent parameters and behaviors in the configuration file
Step4: Run the main simulation script to launch the Pygame window
Step5: Observe agents and tweak environment or behavior scripts
Step6: Customize or extend behaviors by editing agent classes