2013/03/18 by Evans, Garrett N., Collins, John C.
#FOS: Biological sciences #FOS: Computer and information sciences #I.2.4 #I.2.6 #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC)
paper · doi:10.48550/arxiv.1303.4164
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.