Neuro-Symbolic Artificial Intelligence : : the State of the Art.

• Superior document: Frontiers in Artificial Intelligence and Applications Series ; v.342
• Author: Hitzler, P.
• TeilnehmendeR: Sarker, M. K.
• Place / Publishing House: Amsterdam : : IOS Press, Incorporated,, 2022.; Ã2022.
• Year of Publication: 2022
• Edition: 1st ed.
• Language: English
• Series: Frontiers in Artificial Intelligence and Applications Series
• Physical Description: 1 online resource (410 pages)

Table of Contents

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.