Algebraic Approach to Modeling the Management Systems of the Sixth Technological Mode

Abstract

The aim of this research is to highlight the issues of building the models of control for automotion of the control process and, in particular, by using the artificial intelligence. The urgency of the problem is due to the passage of the economy from the fifth technological mode to the sixth one [1-5]. This passage is accompanied by the use of very complex automatic control systems, which are not limited only by automation of the executed algorithms. Management automation requires formalization of this process, construction and use of various management models. The latter requires the formalization and use of various management models that reflect various aspects of the management system. For simultaneous application of several fundamentally different models, an algebraic approach to modeling is proposed, which consists in distinguishing the following three components: 1) system of the basic models; 2) systems of standard transformations and standard combinations of models; 3) approximation mechanism intended to an approximate representation of the required model as the result of typical transformations and typical combinations of the basic models. The process plan is considered as the main activity model, we consider the strategy as the mechanism for creating the plan. Two ways of describing a strategy are proposed: a hierarchical model and an algebraic representation of a strategy. The study is a theoretical one. The methodological basis is the system analysis (A.A. Bogdanov) and the theory of modeling by Yu.B. Melnikov, in particular, the theory of adequacy, the theory of strategies, etc.


Keywords: management model, algebraic approach to modeling, strategy of activity, purpose of activity

References
[1] Silin, Ya. P., Animitsa, Ye. G. and Novikova, N. V. (2016). New Normal in Russian Economy: Regional Specificity. Ekonomika Regional Economy of Region, vol. 12, issue 3, pp. 714–725.

[2] Pukharenko, Y. V., Norina N. V. and Norin, V. A. (2017). Russian engineering education in the era of change. European Journal of Engineering Education, vol. 42, issue 2, pp. 171–187.

[3] Voronin, V. (2017). Cognitive sciences and education. INTED2017: 11th International technology, education and development conference. Ed. by Chova, LG and Martinez, AL and Torres, IC. INTED Proceedings. Lauri Volpi 6, Valenica, Burjassot 46100, Spain: Iated-int assoc technology education & Development. 11th International Conference on Technology, Education and Development (INTED), Valencia, Spain, pp. 5326-5332.

[4] Silin, Y. P., Animistra, Y. G. and Novikova, N. V. (2017). Trends in the Development of the Ural Macroregion’s Economic Space. Upravlenets-The Manager, vol. 2, pp. 2–11.

[5] Stremousova, E. and Buchinskaia, O. (2018). Socio-economic contradictions of the sixth technological mode. 12th international days of statistics and economics. In T. Loster and T. Pavelka, (Eds.). Univ Econ, Dept Stat & Probabil; Univ Econ, Dept Microecon; Tech Univ Kosice, Fac Econ; Ton Duc Thang Univ; Univ Econ, Fac Business Adm; Univ Econ, Fac Informat & Stat. Fugnerova 691, Slany, 27401, Czech Republic: Melandrium, 12th International Days of Statistics and Economics, Prague, Czech Republic, pp. 1708-1717.

[6] Bodrunov, S. D. (2018). From ZOO to NOO: Man, Society and Production in the Conditions of a New Technological Revolution. Voprosy filosofii, vol. 7, pp. 109–118.

[7] Uskov, V. S. (2019). Russian Industrial Sector Development in the Context of New Technological Revolution. Economic and social changes-facts trends forecast, vol. 12, issue 2, pp. 128–146.

[8] Idrisov, G. I., Knyaginin, V. N., Kudrin, A. L. and Rozhkova, E. S. (2018). New technological revolution: Challenges and opportunities for Russia. Voprosy ekonomiki, vol. 4, pp. 5–25.

[9] Melnikov, Yu. B., Onokhina, E. A., and Shitikov, S. A. (2016). The algebraic presentation of research strategy in the activity of tax authorities. Globalization and its socio-economic consequences. 16th International Scientific Conference. Proceedings. Part III. 5th-6th October 2016. Rajecke Teplice, Slovak Republic. ZU-University of Zilina. Georg, Bajzova 11, 010 01 Zilina, Slovak Republic, pp. 1355–1362.

[10] Ali, M., Adnan, M. and Tariq, M. (2019). Optimum control strategies for short term load forecasting in smart grids. International journal of electrical power & Energy systems, vol. 113, pp. 792–806.

[11] Lena, D. A. and Hetzer, A. (2019). The inferiority of the other. Strategies of delegitimization of Latin American politics in the German media discourse. Chasquirevista latinoamericana de comunicacion, vol. 139, pp. 75–94.

[12] Pekcan, R. (2019). Turkey’s trade strategies in the new digital age. Turkish policy quarterly, vol. 17, issue 4, pp. 15–22.

[13] Buckles, K. (2019). Fixing the Leaky Pipeline: Strategies for Making Economics Work for Women at Every Stage. Journal of economic perspectives, vol. 33, issue 1, pp. 43–60.

[14] Gui, L., Tang, C. S. and Yin, S. (2019). Improving Microretailer and Consumer Welfare in Developing Economies: Replenishment Strategies and Market Entries. M & Som-manufacturing & Service operations management, vol. 21, issue 1, pp. 231–250.

[15] Finger, M. (2010). Analytic Methods for the Logic of Proofs. Journal of logic and computation, vol. 20, issue 1, pp. 167–188. 16th International Conference on Automated Reasoning with Analytic Tableaux and Related Methods, Aix en Provence, France, Jul 03-06, 2007.