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Theory of symbol and pattern integration by associative memory with attention

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1 Author(s)
T. Omori ; Tokyo Univ. of Agric. & Technol., Japan

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

Published in:

Multisensor Fusion and Integration for Intelligent Systems, 1996. IEEE/SICE/RSJ International Conference on

Date of Conference:

8-11 Dec 1996