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., 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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