Table of Contents: Neuro-Symbolic Artificial Intelligence :

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Bibliographic Details
Superior document:	Frontiers in Artificial Intelligence and Applications Series ; v.342
:	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
Online Access:	https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=29070505
Physical Description:	1 online resource (410 pages)
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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.