Neural Networks and Structured Knowledge: Knowledge Representation and Reasoning
Comparing Structures Using a Hopfield-Style Neural Network
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
Approximating the Semantics of Logic Programs by Recurrent Neural Networks
The Connectionist Inductive Learning and Logic Programming System
Advances in SHRUTI—A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony
A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making