AgentC: agent-based testbed for adversarial modeling and reasoning in the maritime domain
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We present an agent-based system for modeling, analyzing and reasoning in the maritime domain with the emphasis on detecting, anticipating and preventing illegal activities, such as contemporary maritime piracy. At the core of the system is a data-driven agent-based simulation which combines a range of sources of crime-related real-world data with simulated operation of thousands of vessels of different types in order to create a rich model of maritime activity. The simulation is integrated with a number of advanced reasoning methods for analyzing illegal activities and for planning active counter-measures. In combination with experiment support tools and a powerful user frontend based on Google Earth, the testbed provides a complete environment for the development and evaluation of anti-maritime-crime methods based on the multi-agent approach.
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