An algorithm for planning collision-free paths among polyhedral obstacles
Communications of the ACM
Agent-Based Approach to Free-Flight Planning, Control, and Simulation
IEEE Intelligent Systems
Computing time-dependent policies for patrolling games with mobile targets
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Iterative game-theoretic route selection for hostile area transit and patrolling
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
PROTECT: a deployed game theoretic system to protect the ports of the United States
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Efficiently solving joint activity based security games
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Protecting moving targets with multiple mobile resources
Journal of Artificial Intelligence Research
The effectiveness of peer-designed agents in agent-based simulations
Multiagent and Grid Systems
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Despite their use for modeling traffic in ports and regional waters, multi-agent simulations have not yet been applied to model maritime traffic on a global scale. We therefore propose a fully agent-based, data-driven model of global maritime traffic, focusing primarily on modeling transit through piracy-affected waters. The model employs finite state machines to represent the behavior of several classes of vessels and can accurately replicate global shipping patterns and approximate real-world distribution of pirate attacks. We apply the model to the problem of optimizing the Gulf of Aden group transit. The results demonstrate the usefulness of agent-based modeling for evaluating and improving operational counter-piracy policies and measures.