Programming digital computers to perform complicated concurrent tasks usually executed by several human beings is important in business intelligence decisions, but not easy. How should multifaceted or interconnected tasks be automated on computers to schedule and monitor human workers in timely and cost-efficient ways? Barowy et al. succinctly present automatic algorithms for the effective scheduling, pricing, and quality control of concurrent activities that humans perform to accomplish a task, such as the recognition of alternative license plates at a tollbooth.
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