Extended Sparse Distributed Memory

被引：0

作者：

Snaider, Javier ^{[1
]}

Franklin, Stan ^{[1
]}

机构：

[1] Univ Memphis, Inst Intelligent Syst, Dept Comp Sci, Memphis, TN 38152 USA

来源：

BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES 2011 | 2011年 / 233卷

关键词：

Sparse Distributed Memory; Episodic Memory; Sequence Representation; Cognitive Modeling;

D O I：

10.3233/978-1-60750-959-2-351

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Sparse distributed memory is an auto-associative memory system that stores high dimensional Boolean vectors. Here we present an extension of the original SDM that uses word vectors of larger size than address vectors. This extension preserves many of the desirable properties of the original SDM: auto-associability, content addressability, distributed storage, robustness over noisy inputs. In addition, it adds new functionality, enabling an efficient auto-associative storage of sequences of vectors, as well as of other data structures such as trees.

引用

页码：351 / +

页数：2

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