An Explicitly Relational Neural Network Architecture
Shanahan et al.: https://arxiv.org/abs/1905.10307
#deeplearning #neuralnetworks #symbolicAI
Shanahan et al.: https://arxiv.org/abs/1905.10307
#deeplearning #neuralnetworks #symbolicAI
arXiv.org
An Explicitly Relational Neural Network Architecture
With a view to bridging the gap between deep learning and symbolic AI, we present a novel end-to-end neural network architecture that learns to form propositional representations with an...
Neurons spike back
By Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières.
2018
In the tumultuous history of AI, learning techniques using so-called "connectionist" neural networks have long been mocked and ostracized by the "symbolic" movement. This article retraces the history of artificial intelligence through the lens of the tension between symbolic and connectionist approaches.
From a social history of science and technology perspective, it seeks to highlight how researchers, relying on the availability of massive data and the multiplication of computing power have undertaken to reformulate the symbolic AI project by reviving the spirit of adaptive and inductive machines dating back from the era of cybernetics.
#artificialintelligence #AI #connectionists #symbolicAI #neuralnetworks #expertsystems #historyofAI
https://neurovenge.antonomase.fr/
By Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières.
2018
In the tumultuous history of AI, learning techniques using so-called "connectionist" neural networks have long been mocked and ostracized by the "symbolic" movement. This article retraces the history of artificial intelligence through the lens of the tension between symbolic and connectionist approaches.
From a social history of science and technology perspective, it seeks to highlight how researchers, relying on the availability of massive data and the multiplication of computing power have undertaken to reformulate the symbolic AI project by reviving the spirit of adaptive and inductive machines dating back from the era of cybernetics.
#artificialintelligence #AI #connectionists #symbolicAI #neuralnetworks #expertsystems #historyofAI
https://neurovenge.antonomase.fr/
neurovenge.antonomase.fr
Neurons Spike Back
The invention of inductive machines and the controverse of Artificial Intelligence
Deep Learning for Symbolic Mathematics
Guillaume Lample, François Charton : https://arxiv.org/abs/1912.01412
#ArtificialIntelligence #DeepLearning #SymbolicAI
Guillaume Lample, François Charton : https://arxiv.org/abs/1912.01412
#ArtificialIntelligence #DeepLearning #SymbolicAI
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
Artur Garcez and Luis C. Lamb : https://papers.nips.cc/paper/2490-reasoning-about-time-and-knowledge-in-neural-symbolic-learning-systems
#ArtificialIntelligence #Reasoning #SymbolicAI
Artur Garcez and Luis C. Lamb : https://papers.nips.cc/paper/2490-reasoning-about-time-and-knowledge-in-neural-symbolic-learning-systems
#ArtificialIntelligence #Reasoning #SymbolicAI
papers.nips.cc
Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
Electronic Proceedings of Neural Information Processing Systems
Neural Module Networks for Reasoning over Text
Gupta et al.: https://arxiv.org/abs/1912.04971
Code: https://nitishgupta.github.io/nmn-drop
#NeuralNetworks #Reasoning #SymbolicAI
Gupta et al.: https://arxiv.org/abs/1912.04971
Code: https://nitishgupta.github.io/nmn-drop
#NeuralNetworks #Reasoning #SymbolicAI
nmn-drop
Neural Module Networks for Reasoning over Text
Neural Module Network for Reasoning over Text, ICLR 2020