Petri Dish Neural Cellular Automata
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Figure 1
The curator’s take
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.
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