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Titlebook: Artificial Intelligence in Reactive Scheduling; Roger Kerr,Elizabeth Szelke Book 1995 IFIP International Federation for Information Proces

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Learning to schedule and unbalance production using simulation and rule induction,n unbalanced telephone production line in a simulated environment. The simulation model is used to accelerate human training, to log the scheduling decisions of a so trained human expert, and to form the basis for the generation of machine learned decision rules which replicate the human’s ability t
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Social Indicators Research Seriesesponse to arising problems and opportunities (in this sense, the predictive scheduler is a bit reactive!). The reactive dispatcher decides in real-time which operations to start on the shop floor given the actual course of events. It relies on the schedule to make its decisions, but overrides it in
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A blackboard based perspective of reactive scheduling,e blackboard architecture. Reactive scheduling as a constraint-based opportunistic problem solving process is performed by the system’s case and rule-based reasoning knowledge sources as cooperative multi-agents and also takes into account the human’s preferences learned by the system in the intelli
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