Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach
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…
- 01.arXiv:2609.12267v1 Announce Type: new Abstract: Learning user-defined concepts as constraint networks has been extensively studied in the constraint acquisition (CA) literature
- 02.However, existing approaches typically rely on intensive interactions with a human oracle, making the…
This material is provided as an extended analytical summary.
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