Maritime Domain Awareness via Agent Learning and Collaboration

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Authors
Zhao, Ying
MacKinnon, Douglas J.
Gallup, Shelley P.
Zhou, Charles
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2010-06-22
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Abstract
Maritime security is vital to US security. Enhanced Maritime Domain Awareness (MDA) of potential threats in this dynamic environment can be achieved, yet requires integrated analysis from numerous sources in real time. We will present a learning agent technology that integrates structured and unstructured data and discovers behavior patterns from varied sources such as: Automatic Information Systems (AIS), Coast Guard, and police contextual information including: maritime commercial activities, weather, terrain, environmental conditions, maritime incidents, casualties, and military exercises. These discovered patterns can help correlate warnings and reduce false alarms in support of maritime security. We will show our test results from the Trident Warrior (TW08) exercise.
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15th ICCRTS, International Command and Control, Research and Technology Symposium, Santa Monica, California, June 22-24, 2010
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Applied Mathematics
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This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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