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Статья: THE APPLICATION OF ONTOLOGY-BASED GAME THEORY FOR DECISION SUPPORT IN SOCIOTECHNICAL SYSTEMS (2024)

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The present paper develops an invariant ontology of strategic interaction in a sociotechnical system using game theory tools. In the course of the research, ontologies are considered tools for modelling sociotechnical systems, including tools for social and technical process integration. The demand for these tools derives from the need to integrate people into technical systems as equivalent and equal elements that exert both external and internal influence on the system. Such sociotechnical models have already been applied to describe enterprise information structures, but they lack a description of decision-making between the system elements within the strategic inter-action. As part of the solution to this problem, an ontology-based model of a sociotechnical system describing the interaction of both social and technical elements through game interaction is developed. Each of the participants in the interaction is described in terms of game theory, with the allocation of possible strategies and the corre-sponding winnings. Through the interactive entities within the game theory model, game interaction takes place between the participant and appropriate behaviour strategy selection. The model is a exible, scalable tool for building simulation models of sociotechnical systems. The results obtained will be tested when real sociotechnical systems are built, and the ontology will be re ned according to the results obtained.

Ключевые фразы: game theory, digitalisation, ontology, sociotechnical systems

Автор (ы): Гинцяк Алексей, Бурлуцкая Жанна, Зубкова Дарья, Успенский Михаил

Журнал: SUSTAINABLE DEVELOPMENT AND ENGINEERING ECONOMICS

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Идентификаторы и классификаторы

УДК: 005. Изучение проблемы организации: методология, анализ, синтез, классификация и таксономия (теория, основы), систематизация в целом

Для цитирования:

ГИНЦЯК А., БУРЛУЦКАЯ Ж., ЗУБКОВА Д., УСПЕНСКИЙ М. THE APPLICATION OF ONTOLOGY-BASED GAME THEORY FOR DECISION SUPPORT IN SOCIOTECHNICAL SYSTEMS // SUSTAINABLE DEVELOPMENT AND ENGINEERING ECONOMICS. 2024. № 3 (13)

Текстовый фрагмент статьи

Список литературы

1. Babakina, E. P., Obiremko, S. I., 2019. Game theory as one of the effective tools of strategic thinking of managers. Intern. Res. J. 7-1(85), 98-101. DOI: 10.23670/IRJ.2019.85.7.019

2. Bailey, J. P., Piliouras, G., 2018. Multiplicative weights update in zero-sum games. Proceedings of the 2018 ACM Conference on Economics and Computation, 321-338. DOI: 10.1145/3219166.321923

3. Bhogal, M.S., Galbraith, N., Manktelow, K., 2017. Physical attractiveness, altruism and cooperation in an ultimatum game. Curr. Psychol. 3(36), 549-555. DOI: 10.1007/s12144-016-9443-1

4. Brihaye, T. et al., 2017. Dynamics and coalitions in sequential games. Electron. Proc. Theor. Comput. Sci. 256, 136-150. DOI: 10.48550/arXiv.1709.02100 EDN: YGPNBU

5. Chalkiadakis, G., Elkind, E., Woolridge, M. 2011. Computational aspects of cooperative game theory (Synthesis Lectures on Artificial Intelligence and Machine Learning). Morgan & Claypool, Princeton, NJ. DOI: 10.2200/S00355ED1V01Y201107AIM016

6. Chica, M. et al., 2018. A networked-player trust game and its evolutionary dynamics. IEEE Trans. Evol. Comput. 22(6), 866-878. DOI: 10.1109/TEVC.2017.2769081

7. Cuaresma D. C. N. et al., 2022. Optimal strategies and cost-benefit analysis of the n-player weightlifting game. Sci. Rep. 12(1), 8482. DOI: 10.1038/s41598-022-12394-z EDN: UPARQS

8. Dixit, A., Nailbuff, B., 2015. Game theory: The art of strategic thinking in business and life. Mann, Ivanov and Ferber.
9. Dobrinskaya, D.E., 2021. What is a digital society? Soc. Sci. Tech. 12(2), 112-129. DOI: 10.24412/2079-0910-2021-2-112-129

10. Fayoumi, A., Williams, R., 2021. An integrated socio-technical enterprise modelling: A scenario of healthcare system analysis and design. J. Ind. Inf. Integr. 23, 100221. DOI: 10.1016/j.jii.2021.100221

11. Gintciak, A.M. 2021. Classification of game-theoretic models in project management: Literary review. Appl. Math. Control Sc. 3, 130-153. DOI: 10.15593/2499-9873/2021.03.07

12. Gruber, T.R., 1993. A translation approach to portable ontology specifications. J. Knowl. Acquis. 5(2), 199-220. DOI: 10.1006/knac.1993.1008

13. Hinkelmann, K et al., 2016. A new paradigm for the continuous alignment of business and IT: Combining enterprise architecture modelling and enterprise ontology. Comput. Ind. 79, 77-86. DOI: 10.1016/j.compind.2015.07.009

14. Khadir, A. C., Aliane, H., Guessoum, A., 2021. Ontology learning: Grand tour and challenges. Comput. Sci. Rev. 39, 100339. DOI: 10.1016/j.cosrev.2020.100339

15. Kong, F., Lu, Z., Kong, L., Chen, T., 2023. Information field in a manufacturing system: Concepts, measurements and applications. Adv. Eng. Inform., 56, 101946. DOI: 10.1016/j.aei.2023.101946

16. Li, T., Wang, X., Ni, Y., 2022. Aligning social concerns with information system security: A fundamental ontology for social engineering. Inf. Syst. 104, 101699. DOI: 10.1016/j.is.2020.101699

17. Nikitenko, V. et al., 2024. Philosophical reflection on artificial intelligence and its impact on the development of society, human, and education. Humanit. 19(9), 67. DOI: 10.32782/hst-2024-19-96-07

18. Prokopchuk, G. A., 2010. The role of innovative sociotechnical systems in the transition to sustainable development (philosophical aspects). Abstract of the dissertation on philosophy, specialty of the Higher Attestation Commission of the Russian Federation 9(8). EDN: QFCDYT

19. Rahayu, N. W., Ferdiana, R., Kusumawardani, S. S., 2022. A systematic review of ontology use in E-learning recommender system. Comp. Edu.: Artif. Intell. 3, 100047. DOI: 10.1016/j.caeai.2022.100047

20. Sahlgren, Otto., 2021. Towards a conception of sociotechnical pathology. Proceedings of the Conference on Technology Ethics 2021, 48-62.
21. Sergeev, A.M., 2006. Game theory and economic institutions. J. Econ. Theory 1, 88-105.
22. Smirnov, A.V., 2021. Digital society: Theoretical model and Russian reality. Monitor. Pub. Opin: Econ. Social Changes 1, 129-153. DOI: 10.14515/monitoring.2021.1.1790

23. Studer, R., Benjamins, V., Fensel, D., 1998. Knowledge engineering: Principles and methods. Data Knowl. Eng. 25(1-2), 161-197. DOI: 10.1016/S0169-023X(97)00056-6

24. Tabachkov, E. R., Savinovskikh, A. G., Cherny, V. I., 2010. Socio-technical system, its place and role in society. Soc. Power, 1, 20-23.
25. Vartanov, S. A., Ivin, E. A., 2020. Applied Game Theory for Economists.
26. Wang, W. et al., 2019. A survey on consensus mechanisms and mining strategy management in blockchain networks. IEEE Access 7, 22328-22370. DOI: 10.1109/ACCESS.2019.2896108 EDN: DGFGKA

27. Williams, J.D., 2017. The perfect strategist, or a primer on the theory of strategic games. Librocom, Moscow, 274.
28. Wright, J.R., Leyton-Brown, K., 2017. Predicting human behavior in unrepeated, simultaneous-move games. Games Econ. Behav. 106, 16-37. DOI: 10.1016/j.geb.2017.09.009

29. Xue, X. et al., 2023. Computational experiments: A new analysis method for cyber-physical-social systems. IEEE Trans. Syst. Man Cybern. Syst. 54(2), 813-826. DOI: 10.1109/TSMC.2023.3322402

Выпуск

№ 3 (13) (2024)

Кол-во страниц: 73 страницы

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