Distributed associative memories for high-speed symbolic reasoning
Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
Matching performance of binary correlation matrix memories
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
Artificial intelligence meets natural stupidity
ACM SIGART Bulletin
Towards novel neuroscience-inspired computing
Emergent neural computational architectures based on neuroscience
A rule chaining architecture using a correlation matrix memory
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
| Hi-index | 0.00 |
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.