Presentation 1999/3/5
A study of an adaptive system based on autonomous reaction between Images
Yasuo Kinouchi, Masahiro Mizutani, shoji Inabayashi, Toshihisa Noguchi,
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Abstract(in English) To construct a thinking-like processing system, a configuration of adaptive recognition system is proposed. This system treats "images" as basic units of information, and adapts to the environment of the external world by means of autonomous reactions between the images in the system. The images do not have to be clear, distinct symbols or patterns, theycan be but also ambiguous, indistinct symbols or patterns as well.This system is a kind of neural-network made up of nodes and links, called a localist spreading activation network. Each nodes holds one image based on localist manner. Images in high-activity nodes interact autonomously and generate new images and links. By this reaction between images, various forms of images are generated automatically under constraints of links with adjacent nodes in the associative memory system.
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Keyword(in English) adaptive system / associative memory / neural logic / imagc / autonomous reaction
Paper # TL98-25
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Committee TL
Conference Date 1999/3/5(1days)
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Paper Information
Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study of an adaptive system based on autonomous reaction between Images
Sub Title (in English)
Keyword(1) adaptive system
Keyword(2) associative memory
Keyword(3) neural logic
Keyword(4) imagc
Keyword(5) autonomous reaction
1st Author's Name Yasuo Kinouchi
1st Author's Affiliation Tokyo University Of Information Sciences()
2nd Author's Name Masahiro Mizutani
2nd Author's Affiliation Tokyou Univercity Of Information Sciences
3rd Author's Name shoji Inabayashi
3rd Author's Affiliation System Sogo Kaihatsu Co., Ltd.
4th Author's Name Toshihisa Noguchi
4th Author's Affiliation Tokyo Univercity Of Information Sciences
Date 1999/3/5
Paper # TL98-25
Volume (vol) vol.98
Number (no) 640
Page pp.pp.-
#Pages 7
Date of Issue