Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach
A neuro-symbolic framework for automatic CA that significantly reduces user involvement by introducing neural Oracle Transformer models which learn to emulate user responses and to generalize conceptual knowledge is proposed.
Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar et al.
· 0 citations