Multistate network model for the pathfinding problem with a self-recovery property

Kei Ichi Ueda*, Masaaki Yadome, Yasumasa Nishiura

*この論文の責任著者

研究成果: ジャーナルへの寄稿学術論文査読

1 被引用数 (Scopus)

抄録

In this study, we propose a continuous model for a pathfinding system. We consider acyclic graphs whose vertices are connected by unidirectional edges. The proposed model autonomously finds a path connecting two specified vertices, and the path is represented by a stable solution of the proposed model. The system has a self-recovery property, i.e., the system can find a path when one of the connections in the existing path is suddenly terminated. Further, we demonstrate that the appropriate installation of inhibitory interaction improves the search time.

本文言語英語
ページ(範囲)32-38
ページ数7
ジャーナルNeural Networks
62
DOI
出版ステータス出版済み - 2015/02/01

ASJC Scopus 主題領域

  • 認知神経科学
  • 人工知能

フィンガープリント

「Multistate network model for the pathfinding problem with a self-recovery property」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