AI Bibliography |
Sarker, M. K., Zhou, L., Eberhart, A., & Hitzler, P. (2021). Neuro-symbolic artificial intelligence current trends. arXiv preprint arXiv:2105.05330. |
Resource type: Journal Article BibTeX citation key: Sarker2021 View all bibliographic details |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, General, Mathematics Subcategories: Analytics, Big data, Decision making, Deep learning, Forecasting, Machine learning, Neurosymbolic Creators: Eberhart, Hitzler, Sarker, Zhou Publisher: Collection: arXiv preprint arXiv:2105.05330 |
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Abstract |
Neuro-Symbolic Artificial Intelligence -- the combination of symbolic methods with methods that are based on artificial neural networks -- has a long-standing history. In this article, we provide a structured overview of current trends, by means of categorizing recent publications from key conferences. The article is meant to serve as a convenient starting point for research on the general topic.
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