Artificial life simulation of agents in a 2d-world. Made for an AI-course. Written in C++17, with graphics done in SFML.
It features humanoid agents in a 2D world, where they sustain themselves on food, reproduce asexually, and engage in various interactions.
Report: HunterGatherers.pdf
Timelapse: https://www.youtube.com/watch?v=fuLsRUkQlHc
Clone repo:
- Clone repo:
git clone --recurse-submodules https://github.com/Axelwickm/HunterGatherers.git - Build Docker Image:
docker build -t huntergatherers . - Run:
docker run -it --rm --name hunter_gatherers \ -e DISPLAY=$DISPLAY \ -v /tmp/.X11-unix:/tmp/.X11-unix \ --device /dev/dri:/dev/dri \ --gpus all \ huntergatherers
Space: Pause or resume the simulation. Escape: Close the simulation. D: Toggle the display of the user interface. C: Clear current statistical data. Click on agent name: Follow
Arrow Keys (Up, Down, Left, Right): Move the camera in the respective direction. Comma: Slow down the simulation speed. Period: Speed up the simulation speed.General Controls:
Space: Pause or resume the simulation. Escape: Close the simulation. D: Toggle the display of the user interface. C: Clear current statistical data.
Navigation Controls: Arrow Keys (Up, Down, Left, Right): Move the camera in the respective direction. Comma: Slow down the simulation speed. Period: Speed up the simulation speed.
The HunterGatherers project is an engaging artificial life simulation set in a dynamic 2D world. It showcases humanoid agents with autonomous behaviors, including foraging for food, reproducing, and responding intelligently to environmental changes. The simulation's core lies in its AI-driven agents that demonstrate complex interactions and survival strategies. Key features include real-time world rendering, detailed statistical analysis tools, and a user-friendly graphical interface. The project stands out for its customizability, allowing users to tailor numerous simulation parameters via Config.json, offering a versatile platform for experimentation in emergent system dynamics.
Note: the current dockerfile doesn't support GPU OpenCl. If you get this working, or build ourside of the container, the performance will be better.