A novel purely connectionist implementation of propositional logic is constructed by combining Correlation Matrix Memory operations, tensor products and simple control circuits. The implementation is highly modular and expandable and in its present form it not only allows forward rule chaining but also implements is a hierarchy traversal which results in interesting behavior even in its simplest form.
|Title of host publication
|EMERGENT NEURAL COMPUTATIONAL ARCHITECTURES BASED ON NEUROSCIENCE: TOWARDS NEUROSCIENCE-INSPIRED COMPUTING
|Place of Publication
|Number of pages
|Published - 2001