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ORCIDNeuro-Symbolic Artificial Intelligence 2021
- Pascal Hitzler, Md. Kamruzzaman Sarker
:
Neuro-Symbolic Artificial Intelligence: The State of the Art. Frontiers in Artificial Intelligence and Applications 342, IOS Press 2021, ISBN 978-1-64368-244-0 - Tarek R. Besold, Artur S. d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro M. Domingos, Pascal Hitzler, Kai-Uwe Kühnberger, Luís C. Lamb, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha:
Neural-Symbolic Learning and Reasoning: A Survey and Interpretation. 1-51 - Masataro Asai, Hiroshi Kajino, Alex Fukunaga, Christian Muise:
Symbolic Reasoning in Latent Space: Classical Planning as an Example. 52-77 - Vaishak Belle:
Logic Meets Learning: From Aristotle to Neural Networks. 78-102 - Qingxing Cao, Wentao Wan, Xiaodan Liang, Liang Lin:
Graph Reasoning Networks and Applications. 103-125 - Haitian Sun, Pat Verga, William W. Cohen:
Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. 126-145 - Adnan Darwiche:
Tractable Boolean and Arithmetic Circuits. 146-172 - Robin Manhaeve, Giuseppe Marra, Thomas Demeester, Sebastijan Dumancic, Angelika Kimmig, Luc De Raedt:
Neuro-Symbolic AI = Neural + Logical + Probabilistic AI. 173-191 - Michelangelo Diligenti, Francesco Giannini, Marco Gori, Marco Maggini, Giuseppe Marra:
A Constraint-Based Approach to Learning and Reasoning. 192-213 - Ceca Kraisnikovic, Wolfgang Maass, Robert Legenstein:
Spike-Based Symbolic Computations on Bit Strings and Numbers. 214-234 - Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz:
Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. 235-252 - Bassem Makni, Monireh Ebrahimi, Dagmar Gromann, Aaron Eberhart:
Neuro-Symbolic Semantic Reasoning. 253-279 - Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel:
Learning Reasoning Strategies in End-to-End Differentiable Proving. 280-293 - Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee:
Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. 294-310 - Hoifung Poon, Hai Wang, Hunter Lang:
Combining Probabilistic Logic and Deep Learning for Self-Supervised Learning. 311-336 - Chih-Kuan Yeh, Been Kim, Pradeep Ravikumar:
Human-Centered Concept Explanations for Neural Networks. 337-352 - Zhi-Hua Zhou, Yu-Xuan Huang:
Abductive Learning. 353-369 - Luciano Serafini, Artur S. d'Avila Garcez, Samy Badreddine, Ivan Donadello, Michael Spranger, Federico Bianchi:
Logic Tensor Networks: Theory and Applications. 370-394
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