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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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31#
發(fā)表于 2025-3-26 21:23:55 | 只看該作者
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
32#
發(fā)表于 2025-3-27 02:30:02 | 只看該作者
33#
發(fā)表于 2025-3-27 05:53:28 | 只看該作者
34#
發(fā)表于 2025-3-27 12:31:57 | 只看該作者
35#
發(fā)表于 2025-3-27 15:32:06 | 只看該作者
36#
發(fā)表于 2025-3-27 21:21:57 | 只看該作者
37#
發(fā)表于 2025-3-27 21:55:24 | 只看該作者
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
38#
發(fā)表于 2025-3-28 02:26:46 | 只看該作者
39#
發(fā)表于 2025-3-28 09:56:37 | 只看該作者
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
40#
發(fā)表于 2025-3-28 13:16:32 | 只看該作者
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