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4 operations centers (MOC), in which multiple DMs with partial information and partial control over assets are involved in the development of operational level plans. The MOC emphasizes standardized processes and methods, centralized assessment and guidance, networked distributed planning capabilities, and decentralized execution for assessing, planning and(More)
In this paper, a hidden Markov model (HMM)-based dynamic sensor scheduling problem is formulated, and solved using information gain and rollout concepts to overcome the computational intractability of the dynamic programming recursion. The problem involves dynamically sequencing a set of sensors to monitor multiples tasks, which are modeled as multiple HMMs(More)
Piracy on the high seas is a problem of world-wide concern. In response to this threat, the US Navy has developed a visualization tool known as the Pirate Attack Risk Surface (PARS) that integrates intelligence data, commercial shipping routes, and meteorological and oceanographic (METOC) information to predict regions where pirates may be present and where(More)
— In this paper, a hidden Markov model (HMM)-based dynamic sensor scheduling problem is formulated, and solved using rollout concepts to overcome the computational intractability of the dynamic programming (DP) recursion. The problem considered here involves dynamically sequencing a set of sensors to minimize the sum of sensor cost and the HMM state(More)
Coordination among maritime assets is crucial for reducing task latencies and enabling the effectiveness and success of the mission. Specifically, determining when the assets are dispatched to task locations, optimizing how the assets traverse to the task location, and how much time the assets wait at various intermediate points on the way to task location(More)