This is a Boids Simulation, written in Python with Pygame.

Python implementation of "Flocking for multi-agent dynamic systems: Algorithms and theory" by Olfati-Saber for multi-agent triangular formation.

Fully open architecture implementation of modern multi-agent coordination techniques.

Flocking , Boid algorithm with python pygame

The Code of the paper: "ABCS Flocking: A Leader-Follower Collision Free UAV Flocking System with Multi-Agent Reinforcement Learning"

Boids are a way of modeling the complex flocking behavior of birds as well as many marine life including schools of fish; the simple rules which are able to generate complex behaviors have been described by Craig Reynolds https://www.red3d.com/cwr/boids/

Python / ROS implementation of Reynolds flocking algorithm. Simulation and real-world usage on Sphero SPRK+ robots.

Python implementation of Boids logic

Agent based model framework to simulate (1) collective foraging with visual private and social cues and (2) purely vision-based flocking

(Superseded). An implementation of flocking for a large network of aerial vehicles.

A realistic simulator for multi-objective optimization of drone flocking

Simulations of flocking behaviour in active agents, using a simple Viscek model

2D Simulations and Analysis of Flocking Models using Information Theoretic Techniques

This repository contains a simulation of boids, demonstrating flocking behavior. The simulation models the collective movement of agents (boids) to mimic the natural behavior of birds flocking, fish schooling, or herding animals. This project showcases principles of swarm intelligence and artificial life.

This repository is about modelling of flocking behaviour.

🎆 A visualization of Craig Reynold's Boids

Python study project: ecosystem simulation with flocking behavior

The code for the Selective Evolutionary Multi-Agent Reinforcement Learning with Flocking Environment

NumPy array based Boids simulation optimized with spatial tiling

Bio-mimicry controller designed for swarm of Crazyflies