Autor:	Evans, Garrett N., Collins, John C.
Rok vydání:	2013
Předmět:	Quantitative Biology - Neurons and Cognition Computer Science - Neural and Evolutionary Computing I.2.4 I.2.6
Druh dokumentu:	Working Paper
Popis:	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. Comment: 32 pages, 12 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1303.4164 Zobrazit plný text záznamu View this record from Arxiv