Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411047 | Neurocomputing | 2010 | 11 Pages |
Abstract
The concept of glocal memory (i.e. memory involving systematic coordination between localized memory traces and globalized dynamical-attractor-based memory traces) is reviewed, and is argued to be a critical principle for the design of artificial brains and artificial general intelligence systems. Some exploratory experiments are reviewed, involving introduction of glocal memory into Hopfield neural networks, and also into economic attention networks as utilized in the OpenCog and Novamente integrated AI architectures.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Ben Goertzel, Joel Pitt, Matthew Ikle, Cassio Pennachin, Liu Rui,