Neural computation and self-organizing maps: an introduction
Neural computation and self-organizing maps: an introduction
Connectionist propositional logic (a simple correlation matrix memory based reasoning system)
Emergent neural computational architectures based on neuroscience
IEEE Transactions on Computers
Hi-index | 0.00 |
This paper describes an architecture based on superimposed distributed representations and distributed associative memories which is capable of performing rule chaining. The use of a distributed representation allows the system to utilise memory efficiently, and the use of superposition reduces the time complexity of a tree search to O(d), where d is the depth of the tree. Our experimental results show that the architecture is capable of rule chaining effectively, but that further investigation is needed to address capacity considerations.