DocumentCode
2632029
Title
Theory of symbol and pattern integration by associative memory with attention
Author
Omori, Takashi
Author_Institution
Tokyo Univ. of Agric. & Technol., Japan
fYear
1996
fDate
8-11 Dec 1996
Firstpage
438
Lastpage
445
Abstract
A theory based on the use of a metric is proposed as a background theory of a pattern and symbol integration method. A brain like structured associative memory model that has multiple metric fields and a switching mechanism is proposed as a neural implementation of the theory. A computer simulation shows a context sensitive association that is a base for natural language understanding
Keywords
content-addressable storage; natural languages; neural nets; pattern recognition; sensor fusion; associative memory with attention; context sensitive association; metric fields; natural language understanding; neural implementation; switching mechanism; symbol/pattern integration; Agriculture; Associative memory; Brain modeling; Computer simulation; Humans; Inference algorithms; Motion control; Pattern recognition; Speech recognition; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on
Conference_Location
Washington, DC
Print_ISBN
0-7803-3700-X
Type
conf
DOI
10.1109/MFI.1996.572214
Filename
572214
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