Trace-driven Knowledge Acquisition for Expert Scheduling System

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University of Wisconsin--Madison, 1988 - 282 pages
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algorithm alternative k Artificial Intelligence automated Automated Guided Vehicle bath Chemical Tanks class 22 class 31 class assignment rules Closest To Repairman CNTF Computer Science data analysis data collection database management system decision rule explained defined dispatching rules Doctor of Philosophy dummy dynamic programming Edinburgh University Electroplating Entry expected immediate reward expert scheduling system Expert Systems expertise explained a subject's extracted rules feasible Feasible Set Figure Flexible Manufacturing Systems frequency counter given decision rule Group heuristic Highest Penalty Score However human experts Human-Computer Interaction hyperplane IEEE Industrial Engineering Industrial Robots inference engine input buffer input device interactive scheduling International Journal intervention in Class intervention under Regular iteration cycle job shop Journal of Man-Machine keyboard knowledge acquisition methodology knowledge acquisition process knowledge base knowledge engineer knowledge representation Knowledge-Based Systems Longest Remaining Process Machine Machine Learning Man-Machine Man-Machine Studies manufacturing systems Markov process Markov sequential decision material handling robot minimal score requirement multiple-chain MYCIN new_entry operated by resulting Operating System Operations Research optimal policy original system output buffer parameters penalty function Penalty Score performance personal computer Personal Construct Psychology Pi3K policy-iteration method probability mass function process time less protocol analysis random variable real-time clock real-time scheduling Regular Jobs REPAIRMAN SCHEDULING PROBLEM repairman system resulting rules robot scheduling problem robot system rule evaluation Rule selection Sarin scheduling rules screen display semi-Markov process semi-Markov sequential decision sequence sequential decision model sequential decision process shop scheduling shortest remaining process simulation solve space Spoiled Jobs SRPT St e Steudel subject's intervention subjects Table TEIRESIAS Thesen trace-driven knowledge acquisition traces collected Transition diagram transition matrix transition probabilities University of Wisconsin-Madison values variables vector Yield

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