Connectionists: Neuro-Symbolic Artificial Intelligence: The State of the Art (book announcement)

[Pascal Hitzler]

Pascal Hitzler, Md Kamruzzaman Sarker
Neuro-Symbolic Artificial Intelligence: The State of the Art
Frontiers in Artificial Intelligence and Applications Vol. 342
IOS Press, Amsterdam, 2022

ISBN 978-1-64368-244-0 (print) 978-1-64368-245-7 (online)

Available here: 
https://www.iospress.com/catalog/books/neuro-symbolic-artificial-intelligence-the-state-of-the-art

Table of Contents: https://ebooks.iospress.nl/ISBN/978-1-64368-244-0

Preface
Frank van Harmelen

Chapter 1. Neural-Symbolic Learning and Reasoning: A Survey and 
Interpretation
Tarek R. Besold, Artur d’Avila Garcez, Sebastian Bader, Howard Bowman, 
Pedro Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luis C. Lamb, 
Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, 
Gerson Zaverucha

Chapter 2. Symbolic Reasoning in Latent Space: Classical Planning as an 
Example
Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise

Chapter 3. Logic Meets Learning: From Aristotle to Neural Networks
Vaishak Belle

Chapter 4. Graph Reasoning Networks and Applications
Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin

Chapter 5. Answering Natural-Language Questions with Neuro-Symbolic 
Knowledge Bases
Haitian Sun, Pat Verga, William W. Cohen

Chapter 6. Tractable Boolean and Arithmetic Circuits
Adnan Darwiche

Chapter 7. Neuro-Symbolic AI = Neural + Logical + Probabilistic AI
Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumančić, 
Angelika Kimmig, Luc De Raedt

Chapter 8. A Constraint-Based Approach to Learning and Reasoning
Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, 
Giuseppe Marra

Chapter 9. Spike-Based Symbolic Computations on Bit Strings and Numbers
Ceca Kraišniković, Wolfgang Maass, Robert Legenstein

Chapter 10. Explainable Neuro-Symbolic Hierarchical Reinforcement 
LearningDaoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent 
Yilmaz

Chapter 11. Neuro-Symbolic Semantic Reasoning
Bassem Makni, Monireh Ebrahimi, Dagmar Gromann, Aaron Eberhart

Chapter 12. Learning Reasoning Strategies in End-to-End Differentiable 
Proving
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward 
Grefenstette, Tim Rocktäschel

Chapter 13. Generalizable Neuro-Symbolic Systems for Commonsense 
Question Answering
Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, 
Roshanak Mirzaee

Chapter 14. Combining Probabilistic Logic and Deep Learning for 
Self-Supervised Learning
Hoifung Poon, Hai Wang, Hunter Lang

Chapter 15. Human-Centered Concept Explanations for Neural Networks
Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar

Chapter 16. Abductive Learning
Zhi-Hua Zhou, Yu-Xuan Huang

Chapter 17. Logic Tensor Networks: Theory and Applications
Luciano Serafini, Artur d’Avila Garcez, Samy Badreddine, Ivan Donadello, 
Michael Spranger, Federico Bianchi

-- 
Pascal Hitzler
Lloyd T. Smith Creativity in Engineering Chair
Director, Center for AI and Data Science
Kansas State University   http://www.pascal-hitzler.de
http://www.daselab.org    http://www.semantic-web-journal.net