Experiments
V25: Predator-Prey
V25: Predator-Prey
Negative result. Environmental complexity does not break the integration bottleneck.
Period: 2026-02-19. Substrate: V20 + patchy landscape (N=256, 12 patches, 80/20 prey/predator, 5x5 observation).
The 5x5 observation window is informationally sufficient for reactive behavior — agents can see resources and predators directly. The optimal reactive strategy requires no internal state beyond energy level.
Source code
v25_substrate.py— Predator-prey landscapev25_evolution.py— Evolution loopv25_gpu_run.py— GPU runner