Neural Netw 2015 Feb 01;62:32-8. doi: 10.1016/j.neunet.2014.08.008.

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

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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.

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