This paper presents the advanced intelligent ship handling system able to simulate and demonstrate learning behavior of artificial helmsman which controls model of ship in a windy environment of restricted water area. Simulated helmsmen are treated as individuals in population, which through environmental sensing and evolutionary algorithms learns to perform given task efficiently. The task is: safe navigation through heavy wind channels. Neuroevolutionary algorithms, which develop artificial neural networks through evolutionary operations, have been applied in this system.
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The evaluation with the use of neuroscience methods and tools of a student’s satisfaction – happiness from using the e-learning system (e-learning platforms, e-games, simulators) poses an important re-search subject matter. In the present project it is presented a research on course conducted in the Faculty of Merchants Officers, Marine Academy of Aspropyrgos. In particular, this research with the use of a neurosci-ence tool-gaze trucker, investigates the amount of satisfaction of the students using a simulator by monitoring the users’ eye movement in combination with the use of qualitative and quantitative methods.
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