Abstract
<p>The paper considers the representation of crew activities when piloting an aircraft using Markov chains, including modeling in regular and emergency situations, considering the experience of the crew. A method for assessing the level of pilot experience using a neural network and an algorithm for optimizing the probability matrices of transitions between model states are presented. Examples of modeling for an emergency situation are given, demonstrating the influence of the pilot's level of experience on the result.</p>
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