Abstract is missing.
- Neural-Symbolic Learning and Reasoning: A Survey and InterpretationTarek R. Besold, Artur d'Avila Garcez, Sebastian Bader 0001, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha. 1-51 [doi]
- Symbolic Reasoning in Latent Space: Classical Planning as an ExampleMasataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise. 52-77 [doi]
- Logic Meets Learning: From Aristotle to Neural NetworksVaishak Belle. 78-102 [doi]
- Graph Reasoning Networks and ApplicationsQingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin. 103-125 [doi]
- Answering Natural-Language Questions with Neuro-Symbolic Knowledge BasesHaitian Sun, Pat Verga, William W. Cohen. 126-145 [doi]
- Tractable Boolean and Arithmetic CircuitsAdnan Darwiche. 146-172 [doi]
- Neuro-Symbolic AI = Neural + Logical + Probabilistic AIRobin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt. 173-191 [doi]
- A Constraint-Based Approach to Learning and ReasoningMichelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra. 192-213 [doi]
- Spike-Based Symbolic Computations on Bit Strings and NumbersCeca Kraisnikovic, Wolfgang Maass 0001, Robert Legenstein. 214-234 [doi]
- Explainable Neuro-Symbolic Hierarchical Reinforcement LearningDaoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong 0001, Levent Yilmaz. 235-252 [doi]
- Neuro-Symbolic Semantic ReasoningBassem Makni, Monireh Ebrahimi, Dagmar Gromann, Aaron Eberhart. 253-279 [doi]
- Learning Reasoning Strategies in End-to-End Differentiable ProvingPasquale Minervini, Sebastian Riedel 0001, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel. 280-293 [doi]
- Generalizable Neuro-Symbolic Systems for Commonsense Question AnsweringAlessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee. 294-310 [doi]
- Combining Probabilistic Logic and Deep Learning for Self-Supervised LearningHoifung Poon, Hai Wang, Hunter Lang. 311-336 [doi]
- Human-Centered Concept Explanations for Neural NetworksChih-Kuan Yeh, Been Kim, Pradeep Ravikumar. 337-352 [doi]
- Abductive LearningZhi-Hua Zhou, Yu-Xuan Huang. 353-369 [doi]
- Logic Tensor Networks: Theory and ApplicationsLuciano Serafini, Artur d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi. 370-394 [doi]