Joint training of NCA rules and SIREN pre-patterns improves robustness, encoding capacity, and symmetry breaking compared to purely self-organizing models by offloading information to initial conditions.
A Path to Universal Neural Cellular Automata , isbn =
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Neural cellular automata with heterogeneous communication protocols show slower consensus and partial divergence on density classification, with robustness from diverse training.
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Learning Developmental Scaffoldings to Guide Self-Organisation
Joint training of NCA rules and SIREN pre-patterns improves robustness, encoding capacity, and symmetry breaking compared to purely self-organizing models by offloading information to initial conditions.