A modeling language for mathematical programming
Management Science
An efficient heuristic approach for security against multiple adversaries
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
A Game-Theoretic Approach to Determining Efficient Patrolling Strategies for Mobile Robots
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Leader-follower strategies for robotic patrolling in environments with arbitrary topologies
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Uncertainties in adversarial patrol
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Game Theoretical Insights in Strategic Patrolling: Model and Algorithm in Normal-Form
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Multi-step multi-sensor hider-seeker games
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
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Patrolling-intrusion games are recently receiving more and more attention in the literature. They are two-player non zero-sum games where an intruder tries to attack one place of interest and one patroller (or more) tries to capture the intruder. The patroller cannot completely cover the environment following a cycle, otherwise the intruder will successfully strike at least a target. Thus, the patroller employs a randomized strategy. These games are usually studied as leader-follower games, where the patroller is the leader and the intruder is the follower. The models proposed in the state of the art so far present several limitations that prevent their employment in realistic settings. In this paper, we refine the models from the state-of-the-art capturing patroller's augmented sensing capabilities and a possible delay in the intrusion, we propose algorithms to solve efficiently our extensions, and we experimentally evaluate the computational time in some case studies.