Emergent Symbolic Structure
Symbolic-like representations that neural networks form naturally through large-scale data training without explicit programming. These representations exhibit core characteristics of symbolic systems, including discreteness, compositionality, and systematicity.
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Emergent symbolic structures refer to symbol-like representational forms that neural networks naturally develop through large-scale data training without explicit programming.
Symbolic structures do not exist from random initialization, but rather emerge gradually during the training process.
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Emergent symbolic structures refer to symbol-like representational forms that neural networks naturally develop through large-scale data training without explicit programming.
50%UnverifiedSymbolic structures do not exist from random initialization, but rather emerge gradually during the training process.
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