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

Kei Ichi Ueda, Masaaki Yadome, Yasumasa Nishiura

研究成果: Article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English
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Published - 2015 2 1

ASJC Scopus subject areas

  • 認知神経科学
  • 人工知能

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