Learning symbolic constraint representations from examples using a neuro-symbolic framework with neural Oracle Transformer
Read the original at arxiv.org→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...
Original headline: "Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach"
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- Sep 14, 04:00 UTC arXiv cs.AI lead source Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach