Immunoid: an architecture for behavior arbitration based on the immune networks

Akio Ishiguro, Yasuhiro Shirai, Toshiyuki Kondo, Yoshiki Uchikawa

研究成果: Paper査読

23 被引用数 (Scopus)

抄録

Conventional artificial intelligent (AI) system have been criticized for its brittleness under hostile/dynamic changing environments. Therefore, recently much attention has been focused on the reactive planning systems such as behavior-based AI. However, in the behavior-based AI approaches, how to construct a mechanism that realizes adequate arbitration among competence modules is still an open question. In this paper, we propose a new decentralized consensus-making system inspired from the biological immune system. And we apply our proposed method to a behavior arbitration of an autonomous mobile robot as a practical example. To verify the feasibility of our method, we carry out some simulations. In addition, we propose an adaptation mechanism that can be used to construct a suitable immune network for adequate action selection.

本文言語English
ページ1730-1738
ページ数9
出版ステータスPublished - 1996 12 1
外部発表はい
イベントProceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3) - Osaka, Jpn
継続期間: 1996 11 41996 11 8

Other

OtherProceedings of the 1996 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS. Part 3 (of 3)
CityOsaka, Jpn
Period96/11/496/11/8

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 ビジョンおよびパターン認識
  • コンピュータ サイエンスの応用

フィンガープリント

「Immunoid: an architecture for behavior arbitration based on the immune networks」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル