Neural Logic Machines

ICLR 2019 Honghua DongJiayuan MaoTian LinChong WangLihong LiDenny Zhou

We propose the Neural Logic Machine (NLM), a neural-symbolic architecture for both inductive learning and logic reasoning. NLMs exploit the power of both neural networks---as function approximators, and logic programming---as a symbolic processor for objects with properties, relations, logic connectives, and quantifiers... (read more)

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