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We consider the optimal duration allocation in a decision making queue.Decision making tasks arrive at a given rate to a human operator. Thecorrectness of the decision made by human evolves as a sigmoidal function ofthe duration allocated to the task. Each task in the queue loses its valuecontinuously. We elucidate on this trade-off and determine optimal policies forthe human operator. We show the optimal policy requires the human to drop sometasks. We present a receding horizon optimization strategy, and compare it withthe greedy policy.

Task Release Control for Decision Making Queues