Game Theoretical Approach for Dynamic Active Patrolling in a Counter-Piracy Framework

Bowden, A., et al.: The economic costs of maritime piracy. Oceans Beyond Piracy, One Earth Future Foundation, Technical Report (2011)Google Scholar

Basilico, N., Gatti, N., Amigoni, F. : Leader-follower strategies for robotic patrolling in environments with arbitrary topologies, In: AAMAS (2009)Google Scholar

Agmon, N., Kraus, S., Kaminka, G.A.: Multi-robot perimeter patrol in adversarial settings. In: ICRA, pp. 2339-2345 (2008)Google Scholar

Vanek, O., Bosansky, B., Jakob, M., Pechoucek, M.: Transiting areas patrolled by a mobile adversary. Comput. Intell. Games (CIG) (2010)Google Scholar

Pita, J., et al.: ARMOR Software: A Game Theoretic Approach for Airport Security (2008)Google Scholar

Tsai, J., Rathi, S., Kiekintveld, C., Ordez, F., Tambe, M.: IRIS–A Tool for Strategic Security Allocation in Transportation Networks (2009)Google Scholar

An, B., Pita, J., Shieh, E., Tambe, M.: GUARDS and PROTECT: Next Generation Applications of Security Games (2011)Google Scholar

Tambe, M.: Security and Game Theory Algorithms, Deployed Systems, Lesson. Springer, New York (2012)Google Scholar

Article 101 of the United Nations Convention on the Law of the Sea (UNCLOS) (1982)Google Scholar

Kraska, J.: Contemporary Maritime Piracy International Law, Strategy, and Diplomacy at Sea. Praeger, New York (2011)Google Scholar

IMO Doc. MSC.4/Circ.164, Reports on Acts of Piracy and Armed Robbery against Ships, at 2, 3 Dec 2010Google Scholar

European Union Naval Force. http://eunavfor.eu/ (2015. Accessed 12 Feb 2015

BBC News Magazine. http://news.bbc.co.uk/2/hi/uk_news/magazine/8388222.stm (2015). Accessed 12 Feb 2015

BBC News Magazine. http://www.bbc.co.uk/news/10401413 (2015). Accessed 12 Feb 2015

Fudenberg, D., Tirole, J.: Game Theory. MIT Press, Cambridge (1993)Google Scholar

Bologna, S., Setola, R.: The need to improve local self-awareness in CIP/CIIP. In: First IEEE International Workshop on Critical Infrastructure Protection. IEEE (2005)Google Scholar

Leboucher, C., Chelouah, R., Siarry, P., Le Menec, S.: A swarm intelligence method combined to evolutionary game theory applied to resources allocation problem. In: International Conference on Swarm Intelligence (2011)Google Scholar

Woosun, An., Ayala, D.F.M., Sidoti, D., Mishra, M., Xu, Han., Pattipati, K.R., Regnier, E.D., Kleinman, D.L., Hansen, J.A.: Dynamic asset allocation approaches for counter-piracy operations. In: Proceedings of the 15th International Conference on Information Fusion (FUSION), pp.1284-1291, 9-12 July 2012Google Scholar

Grasso, R., Braca, P., Osler, J., Hansen, J.: Asset network planning: integration of environmental data and sensor performance for counter piracy. EUSIPCO (2013)Google Scholar

Grasso, R., Braca, P., Osler, J., Hansen, J., Willet, P.: Optimal asset network planning for counter piracy operation support, part 1: under the hood. IEEE A & E Syst. Mag. (2013)Google Scholar

Grasso, R., Braca, P., Osler, J., Hansen, J., Willet, P.: Optimal asset network planning for counter piracy operation support, part 2: results. IEEE A & E Syst. Mag. (2013)Google Scholar

Paruchuri, P., Pearce, J.P., Tambe, M., Ordonez, F., Kraus, S.: Ancefficient heuristic approach for security against multiple adversaries. In: Proceedings of AAMAS, pp. 311-318. Honolulu, USA (2007)Google Scholar

Paruchuri, P., Tambe, M., Ordonez, F., Kraus, S.: Security in multiagentvsystems by policy randomization. In: Proceedings of AAMAS, pp. 273-280. Hakodate, Japan (2006)Google Scholar

Gatti, N.: Game theoretical insights in strategic patrolling: model and algorithm in normal-form. In: Proceedings of the ECAI (2008)Google Scholar

Agmon, N., Kraus, S., Kaminka, G.: Multi-robot perimeter patrol in adversarial settings. In: IEEE International Conference on Robotics and Automation, ICRA 2008, pp. 2339-2345 (2008)Google Scholar

Agmon, N., Sadov, V., Kaminka, G., Kraus S.: The impact of adversarial knowledge on adversarial planning in perimeter patrol. In: Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems, International Foundation for Autonomous Agents and Multiagent Systems, vol. 1, pp. 55-62 (2008)Google Scholar

Basilico, N., Gatti, N., Rossi, T., Ceppi, S., Amigoni, F.: Extending algorithms for mobile robot patrolling in the presence of adversaries to more realistic settings. In: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, vol. 02 (2009)Google Scholar

Basilico, N., Gatti, N., Villa, F.: Asynchronous Multi-Robot Patrolling Against Intrusions in Arbitrary Topologies (2010)Google Scholar

Vanek, O., Hrstka, O., Pechoucek, M.: Improving group transit schemes to minimize negative effects of maritime piracy. IEEE Intell. Trans. Syst. (2014)Google Scholar

Vanek, O., Pechoucek, M.: Dynamic group transit scheme for corridor transit. In: Proceedings of the 5th International Conference on Modeling, Simulation and Applied Optimization (2013)Google Scholar

Vanek, O., Jakob, M., Hrstka, O., Pechoucek, M.: Agent-based Model of Mariime Traffic in Piracy-affected Waters. Trans. Res. Part C: Emerg. Technol. (2013)Google Scholar

Shieh, E., An, B., Yang, R., Tambe, M., Baldwin, C., Di Renzo, J., Maule, B., Meyer, G.: PROTECT: an application of computational game theory for the security of the ports of the united states.In: Proceedings of the Conference on Artificial Intelligence (AAAI) Spotlight Track (2012)Google Scholar

Kiekintveld, C., Jain, M., Tsai, J., Pita, J., Tambe, M., Ordonez, F.: Computing Optimal Randomized Resource Allocations for Massive Security Games (2009)Google Scholar

Kiekintveld, C., et al.: Computing optimal randomized resource allocations for massive security games. In: Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 689-696 (2009)Google Scholar