VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently.
2D robotic simulator in Python 2.x, tested in 2.6 and 2.7, under Win7(64) and Ubuntu 10.04 (Lucid). Needs the matching version of Pygame installed! (www.pygame.org)
Download the .py file and two .bmp files:
-->back2_800_600 for background
-->any of the robo1.bmp through robo4.bmp for robot image (different colors).
The map of the "room" can be changed by modifying the list of obstacles.
Read more in ReadMe.txt and in the .py file comments.
This project has been moved to https://bitbucket.org/pbazant/evoversum/src/master/ .
Evoversum is a fast Darwinian evolution simulator. The program simulates a 2D world populated with "animals" which struggle for food, reproduce and may also eat each other. The subject of evolution is their behavior, which may become quite complex. There is an updated video tutorial at http://www.youtube.com/watch?v=nPkZvyVDWJU !
This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling