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

**Published:** September 14, 2026
**Author:** Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/en/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…

> From the original source: **arXiv — cs.AI**
> [Read full article at arXiv — cs.AI](https://arxiv.org/abs/2609.12267)

**Tags:** #arXiv

---

*AI Qazaqstan — non-commercial informational portal about AI in Kazakhstan. Machine translations and summaries are AI-generated.*