C.A. Micchelli, W.L. Miranker
Journal of the ACM
We consider a problem of decentralized exploration of a faulty network by several simple, memoryless agents. The model we adopt for a network is a directed graph. We design an asynchronous algorithm that can cope with failures of network edges and nodes. The algorithm is self-stabilizing in the sense that it can be started with arbitrary initializations and scalable -new agents can be added while other agents are already running.
C.A. Micchelli, W.L. Miranker
Journal of the ACM
Hironori Takeuchi, Tetsuya Nasukawa, et al.
Transactions of the Japanese Society for Artificial Intelligence
Vicki L Hanson, Edward H Lichtenstein
Cognitive Psychology
Daniel Karl I. Weidele, Hendrik Strobelt, et al.
SysML 2019