Neuro-Symbolic Artificial Intelligence: Application for Control the Quality of Product Labeling

Author:

Golovko VladimirORCID,Kroshchanka AliaksandrORCID,Kovalev MikhailORCID,Taberko ValeryORCID,Ivaniuk DzmitryORCID

Publisher

Springer International Publishing

Reference41 articles.

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2. Besold, T.R., et al.: Neural-symbolic learning and reasoning: a survey and interpretation, November 2017. https://arxiv.org/pdf/1711.03902.pdf . Accessed June 2020

3. Castelvecchi, D.: Can we open the black box of AI? Nat. News 538(7623), 20–23 (2016)

4. d’Avila Garcez, A., et al.: Neuralsymbolic learning and reasoning: contributions and challenges. In: McCallum, A., Gabrilovich, E., Guha, R., Murphy, K. (eds.) Proceedings of the AAAI 2015 Propositional Rule Extraction under Background Knowledge 11 Spring Symposium on Knowledge Representation and Reasoning: Integrating Symbolic and Neural Approaches. AAAI Press Technical Report SS-15-03 (2015)

5. Cognitive Technologies;A d’Avila Garcez,2009

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