Abstract
A statement and a general structure for solving the problem of assessing possible crisis situations in the Socio-political sphere is proposed. An approach to analyzing and forecasting the development of crisis situations has been implemented on the basis of continuous monitoring of heterogeneous data from various information sources and summarizing the results of assessing threats obtained using various methods. A model for the development of a crisis situation is presented, which considers the situation as the result of the interaction of various agents in a complex network. The method of historical analogy was applied to the situational forecast. The issues of hardware acceleration of analyzing large data streams are considered through the use of a Leonhard processor that processes large amounts of data due to parallelism. When designing the system, an agent-based development methodology is used. The structure of the system and the results of its application for the analysis of the possible development of crisis situations during political rallies are given.
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Proletarsky, A., Berezkin, D., Popov, A., Terekhov, V., Skvortsova, M. (2020). Decision Support System to Prevent Crisis Situations in the Socio-political Sphere. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Industry 4.0 Challenges. Studies in Systems, Decision and Control, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-32648-7_24
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