Experience in the Cognitive Modelling of the Management of Socio-economic Systems’ Big Data
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Shilova, Valentina Alexandrovna Cand. Sci. in Sociology, Head of the Laboratory for Research of Problems of Info-social Technologies, Leading Research Fellow, the Center for Sociology of Management and Social Technologies, Institute of Sociology of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences vshilova@yandex.ru
Bykov, Kirill Vladimirovich Research Fellow, the Center for Sociology of Management and Social Technologies, Institute of Sociology of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences, Postgraduate Student, the State Academic University for Humanities 1096232@mail.ru
Demyanenko, Vasiliy Ivanovich Junior Research Fellow, the Center for Sociology of Management and Social Technologies, the Institute of Sociology of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences imhocorg_gmail.com
Pochestnev, Aleksandr Ivanovich Cand. Sci. in Sociology, Associate Professor of the Sociology, Psychology, & Social Management Department, Moscow Aviation Institute (National Research University), Senior Research Fellow, the Center for Sociology of Management and Social Technologies, the Institute of Sociology of the Federal Center of Theoretical and Applied Sociology of the Russian Academy of Sciences apochestnev@yandex.ru
Annotation The management of socio-economic systems refers to loosely structured tasks with a high level of uncertainty caused by a lack of knowledge, conflicting structure of relationships, incomplete information. Modern information technology offers solutions for big data. But any software, even if called artificial intelligence, relies on knowledge. This dependence emphasizes how important the experience and intuition of experts, scientists, because the mistakes made at the stage of modeling, have serious consequences during the use of information systems of data processing. To prevent errors, cognitive modelling is used at this stage—a practice that has been developing since the 1970s and is acquiring features with new IT capabilities.
