Neuro-Symbolic

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The general promise of Neuro-Symbolic AI lies in the hopes of a best-of-both worlds scenario, where the complementary strengths of neural and symbolic approaches can be combined in a favorable way. On the neural side, the desirable strengths would include trainability from raw data and robustness against faults in the underlying data, while on the symbolic side one would like to retain the inherently high explainability and provable correctness of these systems, as well as the ease of making use of deep human expert knowledge in their design and function. [https://arxiv.org/pdf/2105.05330.pdf Neuro-Symbolic Artificial Intelligence | K. Saker, L. Zhou, A. Eberhart, & Pascal Hitzler - Kansas State University - arXiv]


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