Self-organized inductive reasoning with NeMuS

16 Jun 2019Leonardo BarretoEdjard Mota

Neural Multi-Space (NeMuS) is a weighted multi-space representation for a portion of first-order logic designed for use with machine learning and neural network methods. It was demonstrated that it can be used to perform reasoning based on regions forming patterns of refutation and also in the process of inductive learning in ILP-like style... (read more)

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