Neuro-Symbolic Artificial Intelligence : the State of the Art.
By: Hitzler, P.
Contributor(s): Sarker, M. K.
Material type:
BookSeries: Frontiers in Artificial Intelligence and Applications Ser: Publisher: Amsterdam : IOS Press, Incorporated, 2022Copyright date: �2022Edition: 1st ed.Description: 1 online resource (410 pages).Content type: text Media type: computer Carrier type: online resourceISBN: 9781643682457.Subject(s): Artificial intelligence | Computational intelligence | Neural computersGenre/Form: Electronic books.DDC classification: 006.3 Online resources: Click to View | Item type | Current location | Collection | Call number | URL | Copy number | Status | Date due | Item holds |
|---|---|---|---|---|---|---|---|---|
| IUKL Library | Subscripti | https://ebookcentral.proquest.com/lib/kliuc-ebooks/detail.action?docID=29070505 | 1 | Available |
Intro -- Title Page -- Preface: The 3rd AI wave is coming, and it needs a theory -- Introduction -- Contents -- Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation -- Chapter 2. Symbolic Reasoning in Latent Space: Classical Planning as an Example -- Chapter 3. Logic Meets Learning: From Aristotle to Neural Networks -- Chapter 4. Graph Reasoning Networks and Applications -- Chapter 5. Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases -- Chapter 6. Tractable Boolean and Arithmetic Circuits -- Chapter 7. Neuro-Symbolic AI = Neural + Logical + Probabilistic AI -- Chapter 8. A Constraint-Based Approach to Learning and Reasoning -- Chapter 9. Spike-Based Symbolic Computations on Bit Strings and Numbers -- Chapter 10. Explainable Neuro-Symbolic Hierarchical Reinforcement Learning -- Chapter 11. Neuro-Symbolic Semantic Reasoning -- Chapter 12. Learning Reasoning Strategies in End-to-End Differentiable Proving -- Chapter 13. Generalizable Neuro-Symbolic Systems for Commonsense Question Answering -- Chapter 14. Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning -- Chapter 15. Human-Centered Concept Explanations for Neural Networks -- Chapter 16. Abductive Learning -- Chapter 17. Logic Tensor Networks: Theory and Applications -- Author Index.
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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2023. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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