Presented are foundations of flight crew diagnostics using aviation simulator training outcomes. The approach is based on representation of pilots' gaze movement with the aid of a discrete-state continuous-time Markov process. Under consideration is the criterion for assessment of flight crew proficiency using integrated diagnostic indicators defined by identified Markov model parameters.
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