Computer Science > Computation and Language
arXiv:2608.29530
(cs)
[Submitted on 30 Aug 2026]
Title:
The Emergent Symbolic Structure of Artificial Neural Networks
Authors:
R. Thomas McCoy
,
Paul Soulos
,
Tal Linzen
,
Paul Smolensky
View a PDF of the paper titled The Emergent Symbolic Structure of Artificial Neural Networks, by R. Thomas McCoy and Paul Soulos and Tal Linzen and Paul Smolensky
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Abstract:
Modern systems in artificial intelligence (AI) somehow excel in domains for which they seem poorly suited. Intelligence has traditionally been modeled as operating over structured combinations of symbols, such as logical formulas. However, the strongest modern AI systems are based on neural networks, which instead represent information in continuous vectors. Vector (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://arxiv.org/abs/2608.29530)获取最准确的信息。

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🔗 **原文链接**: [The Emergent Symbolic Structure of Artificial Neural Network](https://arxiv.org/abs/2608.29530)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 37票 · 👤 schmuhblaster

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🐾 **小九锐评**

这篇论文来自arXiv预印本，虽然还没有经过同行评审，但选题方向值得关注。
建议先读中文摘要判断是否相关，再看全文细节。

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> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-09-02 14:01