Self-organizing algorithm for logic circuit based on local rules

Research output: Contribution to conferencePaperpeer-review

Abstract

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.

Original languageEnglish
Pages1192-1197
Number of pages6
Publication statusPublished - 2005 Nov 16
EventProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA, United States
Duration: 2005 Jul 242005 Jul 28

Conference

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

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