{"id":8497,"date":"2021-10-25T15:02:32","date_gmt":"2021-10-25T12:02:32","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=8497"},"modified":"2021-11-22T13:04:57","modified_gmt":"2021-11-22T11:04:57","slug":"vykorystannya-kognityvnyh-dynamichnyh-system-dlya-intelektualnogo-upravlinnya-tehnichnymy-systemamy","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=8497","title":{"rendered":"\u0412\u0438\u043a\u043e\u0440\u0438\u0441\u0442\u0430\u043d\u043d\u044f \u043a\u043e\u0433\u043d\u0456\u0442\u0438\u0432\u043d\u0438\u0445 \u0434\u0438\u043d\u0430\u043c\u0456\u0447\u043d\u0438\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0434\u043b\u044f \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u0443\u043f\u0440\u0430\u0432\u043b\u0456\u043d\u043d\u044f \u0442\u0435\u0445\u043d\u0456\u0447\u043d\u0438\u043c\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c\u0438"},"content":{"rendered":"

<\/p>\n

\u0412\u0418\u041a\u041e\u0420\u0418\u0421\u0422\u0410\u041d\u041d\u042f \u041a\u041e\u0413\u041d\u0406\u0422\u0418\u0412\u041d\u0418\u0425 \u0414\u0418\u041d\u0410\u041c\u0406\u0427\u041d\u0418\u0425 \u0421\u0418\u0421\u0422\u0415\u041c \u0414\u041b\u042f \u0406\u041d\u0422\u0415\u041b\u0415\u041a\u0422\u0423\u0410\u041b\u042c\u041d\u041e\u0413\u041e \u0423\u041f\u0420\u0410\u0412\u041b\u0406\u041d\u041d\u042f \u0422\u0415\u0425\u041d\u0406\u0427\u041d\u0418\u041c\u0418 \u0421\u0418\u0421\u0422\u0415\u041c\u0410\u041c\u0418<\/p>\n

USING OF COGNITIVE DYNAMIC SYSTEMS FOR INTELLIGENT TECHNICAL SYSTEMS CONTROL<\/p>\n

\u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438: 50-53. \u041d\u043e\u043c\u0435\u0440: \u21164, 2021 (299)<\/strong> \"\"<\/a>
\n\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong>
\n\u041e.\u0412. \u0426\u0418\u0420\u0410
\n\u0414\u0435\u0440\u0436\u0430\u0432\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0438\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0456\u0439 \u0456 \u0437\u0432\u2019\u044f\u0437\u043a\u0443
\nORCID ID: 0000-0003-3552-2039
\ne-mail: aleksandra.tsyra@gmail.com
\n\u041d.\u041e. \u041f\u0423\u041d\u0427\u0415\u041d\u041a\u041e
\n\u041e\u0434\u0435\u0441\u044c\u043a\u0438\u0439 \u0434\u0435\u0440\u0436\u0430\u0432\u043d\u0438\u0439 \u0435\u043a\u043e\u043b\u043e\u0433\u0456\u0447\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442
\nORCID ID: 0000-0003-1382-4490
\ne-mail: iioonn24@rambler.ru
\nO.V. TSYRA
\nState University of Intellectual Technologies and Communications
\nORCID ID: 0000-0003-3552-2039
\ne-mail: aleksandra.tsyra@gmail.com
\nN.O. PUNCHENKO
\nOdesa State Environmental University
\nORCID ID: 0000-0003-1382-4490
\ne-mail: iioonn24@rambler.ru
\nDOI:<\/strong> https:\/\/www.doi.org\/10.31891\/2307-5732-2021-299-4-50-53<\/a>
\n\u0420\u0435\u0446\u0435\u043d\u0437\u0456\u044f\/Peer review :<\/strong> 08.08.2021 \u0440.
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430\/Printed :<\/strong> 26.08.2021 \u0440.<\/p>\n

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\n\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u043a\u043e\u0433\u043d\u0456\u0442\u0438\u0432\u043d\u0430 \u0434\u0438\u043d\u0430\u043c\u0456\u0447\u043d\u0430 \u0441\u0438\u0441\u0442\u0435\u043c\u0430, \u043a\u0440\u0438\u0442\u0435\u0440\u0456\u0457, \u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430, \u0456\u043d\u0442\u0435\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u0435 \u0443\u043f\u0440\u0430\u0432\u043b\u0456\u043d\u043d\u044f, \u0441\u0435\u0440\u0432\u0456\u0441\u0438.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e<\/strong><\/p>\n

For the second year around the world the impact of the coronavirus disease COVID-19 has been taking place. And, therefore, the modern world today is in a critical situation in the fight against a pandemic, where humanity is competing for its natural survival and has embraced the whole world, which greatly influenced the economic, social, and political aspects. The forecasts of specialists in various spheres of social life have versatile conclusions. But technological and informational components have received new development opportunities, and here it becomes interesting to consider the moment of creating a single information space, due to the effective implementation of the latest information resources that can transform ordinary services at a qualitatively new level. This is also the issue of virtualization of individual industries with high economic potential. Also, the integration of the latest technological solutions (issues of managing business systems at enterprises, organizing workplaces, abandoning institutions with reference to a specific building, etc.). When creating a remote form, Big Data resources become relevant, analysing large amounts of data and can issue their own conclusions and plan informed proposals. The conclusions obtained based on complex analytical technological systems based on artificial intelligence can compete with experts in a particular industry. Systems with a complex hierarchical system are capable of serious forecasting, but the focus of small companies on minor tasks does not give a comprehensive result on a national scale. Scientists and specialists involved in these tasks are limited in global information, therefore, the issue of attracting cognitive dynamic systems from the point of view of effective management is an urgent issue for solving artificial intelligence problems. In the work there are links to sources, explain the presented material.
\nKeywords:<\/strong> cognitive dynamic system, criteria, structure, intelligent control, services.<\/p>\n

References<\/strong><\/p>\n

    \n
  1. Lutsenko E.V. Criteria of reality and the principle of equivalence of virtual and “true” reality \/ E.V.\u00a0Lutsenko \/\/ Science Journal. \u2013 Krasnodar : KubSAU, 2004. \u2013 No. 06 (8). \u2013 URL : http:\/\/ej.kubagro.ru\/2004\/06\/10\/p10.asp.<\/li>\n
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  4. Rudnichenko N.D. Assessments of structural and functional features of folding technical systems \/ N.D.\u00a0Rudnichenko, V.V. Vichuzhanin \/\/ Eastern-European Journal of New Technologies, Information Technologies. Management systems, 2014. \u2013 Volume 1, No. 2 (67). \u2013 P. 18\u201322.<\/li>\n
  5. Stankevich L. A. Cognitivny systemy ta agenty \/ L. A. Stankevich, S. V. Serebryakov \/\/ Pratsi SPIIIRAN. \u2013 SPb: Nauka. \u2013 V. 3, v. 1. \u2013 2006. \u2013 71\u201387.<\/li>\n
  6. Luk’yanov G.V. Informationie modely pri proektuvanni scladnych informationnich system \/ G.V.\u00a0Luk’yanov, E.A. Marishev \/\/ Inovatics and Expertise. \u2013 V. 1 (16). \u2013 2016. \u2013 P. 135\u2013144.<\/li>\n
  7. Punchenko N. Cognitive Technologies in the Professional Knowledge as a Means of the Optimizing Management Decisions \/ N. Punchenko, O. Korchenko, O. Tsyra, N. Kazakova, K. Warwas \/\/ International Multidisciplinary Scientific GeoConference: SGEMSofia. \u2013 2019. \u2013 V. 19, \u2116 2.1. \u2013 P. 161\u2013163.<\/li>\n
  8. Timakin D.L. Multiagentny cognitivnie systemy i keruvannya dynamichnimy objectami zi scladnoyu povedinkou: dis. … candidata of technical nauk. SPb., 2002. 187 p.<\/li>\n
  9. Gorodetsky V.I., Dmitriev A.K., Markov V.M. and I. Pid ed. R.M. Yusupov. Elementy theoriy viprobuvan ta controlya technicheskich system. L.: Energia, 1978. 192 p.<\/li>\n
  10. Wuthnow M., Stafford M., Shih J. IMS: A New Model for Blending Applications (Informa telecoms & media). Auerbach, 2009. 368 p.<\/li>\n<\/ol>\n

     <\/p>\n

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