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.
|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 24 → 2005 7 28
|Conference||Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005|
|Period||05/7/24 → 05/7/28|
ASJC Scopus subject areas
- コンピュータ サイエンスの応用