Overview
Homo Performans is an autonomous simulation of hundreds of digital creatures that live, fight, reproduce, and evolve without direct control. You do not play it so much as watch it — the interest is in the emergent behavior that appears when many simple agents interact at scale.
How it works
Each entity carries a set of genetic traits that influence how it behaves — how it seeks resources, when it fights, how it chooses mates. Offspring inherit and mix their parents' traits, so over many generations the population drifts toward whatever traits actually survive in the current environment. Combat and behavior systems give those traits real consequences, and visual feedback makes the dynamics legible as they unfold.
Why build it
Genetic algorithms and emergent multi-agent behavior are fascinating precisely because you cannot fully predict them. Building the simulation is a way of asking: given these simple rules and this selection pressure, what strategies emerge on their own? Running a large population — on the order of hundreds of entities at once — is what makes those emergent patterns visible rather than noisy.
Status
The simulation runs with genetic inheritance, combat, and behavior systems in place. It is an ongoing sandbox for experimenting with selection rules and population dynamics.