Article ID Journal Published Year Pages File Type
411047 Neurocomputing 2010 11 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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