Glocal memory A critical design principle for artificial brains and minds

被引:1
|
作者
Goertzel, Ben [1 ,2 ]
Pitt, Joel [1 ]
Ikle, Matthew [1 ,3 ]
Pennachin, Cassio [1 ]
Rui, Liu [1 ]
机构
[1] Novamente LLC, Rockville, MD 20851 USA
[2] Xiamen Univ, Fujian Key Lab Brain Intelligent Syst, Dept Cognit Sci, Xiamen, Peoples R China
[3] Adams State Coll, Alamosa, CO USA
关键词
Glocal memory; Artificial brains; Attractor neural nets; Hopfield nets; Economic attention networks; OpenCog; Novamente cognition engine; REPRESENTATION; NETWORKS;
D O I
10.1016/j.neucom.2009.10.033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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 (C) 2010 Elsevier B V All rights reserved
引用
收藏
页码:84 / 94
页数:11
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