# Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach

> 标题为英语

> 全文为英语

**Published:** 2026年9月14日
**Author:** Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/learning-symbolic-constraint-representations-from-examples-a-neuro-symbo

arXiv:2609.12267v1 Announce Type: new Abstract: Learning user-defined concepts as constraint networks has been extensively studied in the constraint acquisition (CA) literature. However, existing approaches typically rely on intensive interactions with a human oracle, making the…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2609.12267)

**标签：** #arXiv

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