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Neural cellular automaton learns syntax emergence from local interaction

Researchers have developed a novel neural cellular automaton with 18,658 parameters that demonstrates the emergence of syntactic processing through local interactions. This system, trained only on a boundary signal for an arithmetic-expression grammar, self-organizes into a representation called Proto-CKY. Proto-CKY exhibits capabilities beyond regular languages, generalizes structurally beyond its training data, and aligns quantitatively with grammatical structure, regenerating spontaneously after perturbations. AI

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RANK_REASON Academic paper detailing a novel neural cellular automaton and its emergent syntactic processing capabilities.

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  1. Hugging Face Daily Papers TIER_1 ·

    On the Emergence of Syntax by Means of Local Interaction

    Can syntactic processing emerge spontaneously from purely local interaction? We present a concrete instance on a minimal system: an 18,658-parameter two-dimensional neural cellular automaton (NCA), supervised by nothing more than a 1-bit boundary signal, is trained on the members…