Petri Dish Neural Cellular Automata

Sakana AI researchers introduce PD-NCA, a differentiable artificial life framework where multiple independent agents continuously update their parameters through gradient descent during simulation, enabling within-lifetime learning and open-ended behavioral change. The system exhibits emergent phenomena including rock-paper-scissors dynamics, cyclic interactions, and spontaneous cooperation despite purely competitive optimization objectives.