THE ANALYSIS OF THE INFORMATIVE SEGMENT OF MARITIME ERGATIC SYSTEM ON THE BAYESIAN NETWORKS BASIS
Abstract and keywords
Abstract (English):
The article is dedicated to the study of possibility of the event probability on the Bayesian networks basis. The range of Bayesian networks makes it possible to unite both expert and statistics data during the analysis of the maritime ergatic system. Considering that the key element which influences the safety of the human-machine system is a navigator, the author offers to examine the issue of the human element taking into account the informative approach. The constant growth of the information exchange between the operator and navigation data urges to pay special attention to the informative segment of the human-machine system. The real information about maritime accident in the water area of Novorossiysk Commercial Sea Port is presented as statistics basis. The expert data are obtained as a result of the accident reconstruction on the navigation simulator.

Keywords:
Bayesian networks, mixed reality, information, e-Navigation, human-machine system, scenario
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