Abstract
This paper presents a multiagent-based simulation system for the decision-making research of ship collision avoidance. The system has the characteristics of flexible agent, variable topology, isomorphic function structure, distributed knowledge storage, and integrated control method. The architecture is proposed with four kinds of agent models, that is Control_Agent, Union_Agent, Ship_Agent and VTS_Agent. We developed these agent models for modeling the behaviors for human, ship and VTS using a BDI (Beliefs, Desires, and Intentions) agent framework. The agent communication mechanism based on AIS (Automatic Identification System) message is also established and discussed. The proposed multiagent-based simulation system provides a useful platform for studying multi-target encountering problems and different decision-making methods for collision avoidance.
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Liu, Y.H., Yang, W.L.: The Structure Design of an Intelligent Decision Support System for Navigation Collision Avoidance. In: IEEE The Third International Conference on Machine Learning and Cybernetics, pp. 302–307. IEEE Computer Society Press, Los Alamitos (2004)
Liu, Y.H.: A Design and Study on Intelligence Collision Prevention Expert System for Navigation. Ph.D thesis. Harbin Engineering University (1999)
Yang, S.H., Shi, C.J., Li, L.N., Guan, K.P.: Construction of Simulation Platform for Vessel Automatic Collision Avoidance with the Technologies of MAS and Navigational Simulator. Journal Of System Simulation 18(Supp. 2), 686–690 (2006)
Zhang, W.M.: Intelligent Cooperation Information Technology. Publishing House of Electronics Industry (2002)
Li, Y.: Multi-agent and Its Application in Forecast and Intelligent Traffic System. The Publishing House of Huazhong University of Science and Technology (2004)
Wood, M., DeLoach, S.: An Overview of the Multiagent Systems Engineering Methodology. In: Ciancarini, P., Wooldridge, M.J. (eds.) AOSE 2000. LNCS, vol. 1957, pp. 207–222. Springer, Heidelberg (2001)
Georgeff, M., Pell, B., Pollack, M., Tambe, M.: Michael Wooldridge. In: Rao, A.S., Singh, M.P., Müller, J.P. (eds.) ATAL 1998. LNCS (LNAI), vol. 1555, pp. 1–10. Springer, Heidelberg (1999)
George, M., Lansky, A.: Reactive Reasoning and Planning. In: Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87), pp. 677–682 (1987)
Hsu, C.L., Hsu, H.J., Yang, D.L., Wang, F.J.: Constructing a Multiple Mobile-BDI Agent System. In: The 14th Workshop on OOTA, pp. 109-116 (2003)
Yang, C.S., Lin, H., Lin, O.: Designing Multiagent-Based Education Systems for Navigation Training. In: Proceedings of The 5th IEEE International Conference on Cognitive Informatics (ICCI 2006), IEEE Computer Society Press, Los Alamitos (2006)
Roberto, A.: Towards a Standardization of Multi-agent System Framework. Achieves 5(4), 18–24 (1999), http://www.acm.org/crossroads/crew/roberto_flores-mendez.html
Labrou, Y.: Standardizing Agent Communication. Multi-agents Systems and Applications. LNCS, pp. 74–97. Springer, Heidelberg (2001)
Stone, P., Veloso, M.: Multiagent Systems: A Survey From a Machine Learning Perspective. Autonomous Robotics 8(3), 345–383 (2000)
Sims, M., Corkill, D., Lesser, V.: Separating Domain and Coordination Knowledge in Multi-Agent Organizational Design and Instantiation. In: Proceedings of the AAAI-04. Workshop on Agent Organizations: Theory and Practice, 1-7 (2004)
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Liu, Y., Yang, C., Du, X. (2007). A Multiagent-Based Simulation System for Ship Collision Avoidance. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_31
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DOI: https://doi.org/10.1007/978-3-540-74171-8_31
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