Self-organizing algorithm for logic circuit based on local rules

Chyon Hae Kim*, Tetsuya Ogata, Shigeki Sugano

*この研究の対応する著者

研究成果: Paper査読

抄録

This study discusses a learning algorithm for autonomous robots that has five characteristics including autonomous exploration of effective output, low calculation costs, capability for multi-tasking, reusing past knowledge, and handling time series. We propose the use of self-organizing network elements (SONE) as a method for creating learning systems that provide these characteristics. Using this method, we created and evaluated a Self-Organizing Logic Circuit. The results of our experiments showed that this learning system met the requirements by being capable of creating a basic logic circuit, learning additional knowledge, controlling a simple robot in a simulation, and solving a maze problem.

本文言語English
ページ1192-1197
ページ数6
出版ステータスPublished - 2005 11 16
イベントProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA, United States
継続期間: 2005 7 242005 7 28

Conference

ConferenceProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005
国/地域United States
CityMonterey, CA
Period05/7/2405/7/28

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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