Crogai consists of a mixture of crowd simulation, AI, and genetic algorithms.
It is possible to set up simulations and test different AI in a full 3D environment with a small physics engine, terrain, collision handling, etc. Crogai is inspired by the OpenSteer projet and uses steering behaviors as building blocks for the AI.
The agents can graze, hunt each other, and emit spores for reproduction. A genetic algorithm allows the agents to evolve, and let them decide whether to do so or not. In addition, the examples provided by the project make nice screensavers.
In addition, agents can emit spores in the environment, and those are in turn used in a genetic algorithm to evolve the agents. Many interesting behaviors are observed, population explosions and extinctions are common. A framework is also available to use machine learning algorithms instead of the currently explicit AI, like neural networks, but not only.
Crogai is working in both graphics and batch mode thanks to a simulator-base architecture, allowing a real time / simulation time ratio of any arbitrary value, depending on the machine capacities.