Structured Connectionism and Rule Representation
Distributed Neural Architectures and Language Processing
: Large Patterns Make Great Symbols: An Example of Learning from Example.
Stephen I. Gallant
: Context Vectors: A Step Toward a "Grand Unified Representation".
Transformation and Explanation
: Symbolic Rule Extraction from the DIMLP Neural Network.
Robotics, Vision and Cognitive Approaches
: Supplementing Neural Reinforcement Learning with Symbolic Methods.
: Self-Organizing Maps in Symbol Processing.
: Evolution of Symbolization: Signposts to a Bridge Between Connectionist and Symbolic Systems.