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The Emergent Symbolic Structure of Artificial Neural Networks

Paper recorded by Signals 4 on 2026-08-30 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-30 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

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. Vectors seem inadequate for capturing t

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#280 most recent of 300 cs.AI papers we have recorded · ↑ newer: Integrating adaptive human behavior into epidemic models with large la · ↓ older: Aero Hand Open: A Simulation-Ready Tendon-Driven Hand for Dexterous Ma

Cite this page: The Emergent Symbolic Structure of Artificial Neural Networks: the #280 most recent of 300 cs.AI papers we have recorded (as of 2026-08-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/the-emergent-symbolic-structure-of-artificial-neural-networks.html
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