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<p>This research studies making an intelligent tutoring system in order to reduce pilot mistakes during inflight emergency, specifically the flight environment within an F-4 aircraft fuel system malfunction.  The pilot emergency tutoring system consists of an expert system with knowledge of the F=4 aircraft fuel system and a tutoring system with strategy to teach students.  The expert and tutoring systems use a means-ends analysis problem approach,  The means-ends analysis approach reduces differences between the current state and goal state until the final state or an unsolvable state is reached.  Through use of the program, pilots can learn to prevent decision-making errors and procedural errors.  Consequently, the pilot can be freer to serve as aircraft commander during an emergency situation.
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<br>Subjects: Artificial intelligence; Flight training.; Intelligent tutoring systems; Means-end analysis; Military education; expert systems; intelligent tutoring system; pilot associate</div>
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Kang, Moung-Hung</div>
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