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Sparse Distributed Memory

Frontcover
2 Rezensionen
MIT Press, 1988 - 155 Seiten
Motivated by the remarkable fluidity of memory the way in which items are pulled spontaneously and effortlessly from our memory by vague similarities to what is currently occupying our attention Sparse Distributed Memory presents a mathematically elegant theory of human long term memory.

The book, which is self contained, begins with background material from mathematics, computers, and neurophysiology; this is followed by a step by step development of the memory model. The concluding chapter describes an autonomous system that builds from experience an internal model of the world and bases its operation on that internal model. Close attention is paid to the engineering of the memory, including comparisons to ordinary computer memories.

Sparse Distributed Memory provides an overall perspective on neural systems. The model it describes can aid in understanding human memory and learning, and a system based on it sheds light on outstanding problems in philosophy and artificial intelligence. Applications of the memory are expected to be found in the creation of adaptive systems for signal processing, speech, vision, motor control, and (in general) robots. Perhaps the most exciting aspect of the memory, in its implications for research in neural networks, is that its realization with neuronlike components resembles the cortex of the cerebellum.

Pentti Kanerva is a scientist at the Research Institute for Advanced Computer Science at the NASA Ames Research Center and a visiting scholar at the Stanford Center for the Study of Language and Information. A Bradford Book.
  

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Review: Sparse Distributed Memory

Nutzerbericht - Goodreads

There are several differences between human memory and computer memory. Human memory is associative : Right now I'm typing on and thinking of a computer, then Microsoft, Bill Gates, Capitalism, Noam ...

Review: Sparse Distributed Memory

Nutzerbericht  - Paul - Goodreads

Sparse Distributed Memory-great book on neural systems and mimicking human memory; very well written. Vollständige Rezension lesen

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Inhalt

Introduction
1
Premises
13
Sets Sequences or Lists and Multisets
26
A Critical Look at PerceptronConvergence Learning
39
The Threshold and the Response Region of a Neuron
44
Chapter 7
61
Interpretations
76
An Important Detail of Architecture
90
Including Action in the World Model
103
Application to the Frame Problem of Robotics
112
Appendix
125
Appendix D
139
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Referenzen von Webseiten

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[2] Kanerva, P. Sparse Distributed Memory. MIT Press, ... stored in sparse distributed memory, 1995. SICS Re-. search Report R95:11, Swedish Institute of ...
ieeexplore.ieee.org/ iel4/ 5917/ 15774/ 00731019.pdf?arnumber=731019

Sparse Distributed Memory
ABSTRACT: Sparse Distributed Memory was proposed by Pentti Kanerva as a model of human long term ... components of sparse distributed memory. The memory in ...
cogs.nbu.bg/ memory/ sparse_denning.pdf

Object Indexing using an Iconic Sparse Distributed Memory*
4: The modified Sparse Distributed Memory (SDM) model for .... nents of a sparse distributed memory. This combination has ...
doi.ieeecomputersociety.org/ 10.1109/ ICCV.1995.466929

Sparse Distributed Memory
Murray's Web Pages: Sparse Distributed Memory. ... Pentti Kanerva's Sparse Distributed Memory model is based on simple mathematical properties. ...
www.murrayc.com/ learning/ AI/ sparsedistributedmemory.shtml

A Spiking Neural Sparse Distributed Memory Implementation for ...
3 An Implementation Using Sparse Distributed Memory. We implemented the sequence machine using .... Sparse Distributed Memory. MIT Press, 1988. 4. jl Elman. ...
www.springerlink.com/ index/ DYEJM15A86UE9KNP.pdf

WSDM: Weighted Sparse Distributed Memory Prototype Expressed in APL
A prototype for a weighted variant of the Kanerva’s SDM. (sparse distributed memory), using individually. computed. weights, is referred to as a WSDM. ...
portal.acm.org/ ft_gateway.cfm?id=144142& type=pdf& coll=GUIDE& dl=ACM

Self-Organized Sparse Distributed Memory -- an Application
This paper discuses an extension of Kanerva's Sparse Distributed Memory (SDM) and introduces possible application in storage and retrieval sequences ...
www.fit.vutbr.cz/ ~grebenic/ Publikace/ Asis99/

"Sparse Distributed Memory". In: Encyclopedia of Cognitive Science
Kanerva P (1993) Sparse Distributed Memory and related. models. In: Hassoun MM (ed. ... scaling of Sparse Distributed Memory. In: Braga AP and ...
doi.wiley.com/ 10.1002/ 0470018860.s00090

KANERVA'S SPARSE DISTRIBUTED MEMORY ,_ MULTIPLE HAMMING THRESHOLDS ...
SEPPO. POHJA. and. KIMMO. KASKI. RIACS Technical. Report. 92.06. March. 1992. ( t,,_aqa- C _- ]_9C) 5 _ Z ). KANFRVA". 5. SPAR3F. ]H_,fj!4olj_ ...
ntrs.nasa.gov/ archive/ nasa/ casi.ntrs.nasa.gov/ 19920019632_1992019632.pdf

Using Genetic Algorithms for Sparse Distributed Memory Initialization
Sparse Distributed Memory (SDM) is an associative memory model invented by Kanerva (1988a), which we think is a good model for the human memory. ...
ccrg.cs.memphis.edu/ assets/ papers/ Using%20Genetic%20Algorithms%20for%20Sparse%20Distributed.doc

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