Artificial Intelligence
Ants: agents on networks, trees, and subgraphs
Future Generation Computer Systems
Graph Algorithms
Efficient and inefficient ant coverage methods
Annals of Mathematics and Artificial Intelligence
A biological programming model for self-healing
Proceedings of the 2003 ACM workshop on Survivable and self-regenerative systems: in association with 10th ACM Conference on Computer and Communications Security
Multi-agent Physical A* with Large Pheromones
Autonomous Agents and Multi-Agent Systems
Cooperative Cleaners: A Study in Ant Robotics
International Journal of Robotics Research
Robust and Efficient Covering of Unknown Continuous Domains with Simple, Ant-Like A(ge)nts
International Journal of Robotics Research
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
PHA*: finding the shortest path with A* in an unknown physical environment
Journal of Artificial Intelligence Research
Multi-agent Cooperative Cleaning of Expanding Domains
International Journal of Robotics Research
Review: Of robot ants and elephants: A computational comparison
Theoretical Computer Science
Covering a continuous domain by distributed, limited robots
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
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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.