Garrett N. Evans

1paper

1 Paper

NCMar 18, 2013
Neurally Implementable Semantic Networks

Garrett N. Evans, John C. Collins

We propose general principles for semantic networks allowing them to be implemented as dynamical neural networks. Major features of our scheme include: (a) the interpretation that each node in a network stands for a bound integration of the meanings of all nodes and external events the node links with; (b) the systematic use of nodes that stand for categories or types, with separate nodes for instances of these types; (c) an implementation of relationships that does not use intrinsically typed links between nodes.