Analysis of interaction strategies of patent law subjects using an evolutionary game-theoretic approach

The article presents an evolutionary game-theoretic model for studying the strategies of interactions between patent law subjects in implementing innovative activities. The modern innovative economy is based on effective management of intellectual property, which makes patent regulation a key element in stimulating scientific and technological progress. The relevance of the model development is justified by the presence of legal uncertainty, the duration of litigation and the presence of risks of illegal use of the results of intellectual activity, which affects the decrease in innovative activity of enterprises. The practical problem of the studied area is the choice of suboptimal strategies for innovative activity of enterprises in terms of protecting and using intellectual property rights. The reason for the existence of the practical problem is the unresolved scientific problem, namely, the fact that existing approaches to the choice of enterprise strategies do not take into account the probabilistic nature of the influence of external factors, including the variability of the degree of influence of regulatory authorities. The purpose of the study is to develop an evolutionary game-theoretic model of interaction between patent law subjects in implementing innovative activities, taking into account the features of the current legislation and the possibilities in terms of protecting and disposing of intellectual property rights. As a result, a description of the developed model, the logic of its operation, a description of the model assumptions and limitations are given, as well as the development of modeling scenarios taking into account possible modifications of the model and the implementation of software testing of the zero scenario of the basic modification of the developed evolutionary game-theoretic model.

Keywords: patent law, strategic interactions, evolutionary game theory, simulation modeling, intellectual property.

References

  1. Yu. I. Gerashchenko, V. A. Varfolomeeva. The role of intellectual property in innovative activities//Journal of Applied Research. 2022. № 12. P. 90-95. doi 10.47576/2712-7516_2022_12_90.
  2. D. A. Zubkova, A. M. Gintciak. Approaches to modeling strategic interactions of stakeholders to support decision-making in project activities//Collection of works of the All-Russian scientific and practical conference with foreign participation «Digital transformation of economic systems: problems and prospects» (Ecoprom-2022). Saint Petersburg, 2022. P. 726-728. doi 10.18720/IEP/2021.4/226.
  3. D. A. Vlasov, A. V. Sinchukov. Simulation Research of Game-Theoretic Models on the Basis of Wolfram-Technologies//Modern Information Technologies and IT-Education.2020. Vol. 16. № 1. P. 235-245. doi 10.25559/SITITO.16.202001.235-245.
  4. K. A. Lundaeva, A. M. Gintciak. Evolutionary game theory as a tool for analyzing intellectual property management strategies//Product quality management based on advanced manufacturing technologies//Collection of abstracts of reports of the VI International Forum «Advanced digital and manufacturing technologies». Saint-Petersburg, 2024. P. 128-133.
  5. A. I. Borovkov, O. B. Nezamaeva, M. V. Bolsunovskaya et al. Social decision support based on a digital model//The Journal of Social Policy Studies. 2023. Vol. 21. № 4. P. 677-692. doi 10.17323/727-0634-2023-21-4-677-692.
  6. S. V. Novikov. Design of an intellectual system for managing the educational and innovative activities of the university//Vestnik UGATU. 2022. Vol. 26. № 4 (98). P. 59-71. doi 10.54708/19926502_2022_2649859.
  7. U. Michel-Schneider. Patenting — A Cost Management Perspective//Proceedings of Economics and Finance Conferences. International Institute of Social and Economic Sciences, 2022. № 12915571. doi 10.20472/EFC.2022.016.010.
  8. R. Hauck. Blockchain, smart contracts and intellectual property. Using distributed ledger technology to protect, license and enforce intellectual property rights//Legal Issues in the Digital Age. 2021. Vol. 1. № 1. P. 17-41. doi 10.17323/2713-2749.2021.1.17.41.
  9. V. Butticи, F. Caviggioli, C. Frenzoni et al. Counterfeiting in digital technologies: An empirical analysis of the economic performance and innovative activities of affected companies//Research Policy. 2020. Vol. 49. № 5. P. 103959. doi 103959. 10.1016/j.respol.2020.103959.
  10. P. Vimalnath, F. Tieze, A. Jain et al. Intellectual property strategies for green innovations — an analysis of the European Inventor Awards//Journal of Cleaner Production. 2022. Vol. 377. P. 134325. doi 10.1016/j.jclepro.2022.134325.
  11. A. S. Akopov, A. L. Beklaryan, M. Tkhakur, B. D. Verna. Developing parallel real-coded genetic algorithms for decision-making systems of socio-ecological and economic planning//Business Informatics. 2019. Vol. 13. № 1. P. 33-44. doi 10.17323/1998-0663.2019.1.33.44.
  12. G. P. Ivliev, M. A. Egorova. Ensuring Legal Protection of the Results of Intellectual Activity and the Commercialization of Rights to Them in the EAEU//Lex Russica. 2021. № 11 (180). P. 9-16. doi 10.17803/1729-5920.2021.180.11.009-016.
  13. V. V. Selyutin. Efficiency: concepts, criteria, levels, regional aspect//Ecology. Economics. Computer Science. Series: «Systems Analysis and Modeling of Economic and Ecological Systems». 2021. Vol. 1. № 6. P. 248-254. doi 10.23885/2500-395X-2021-1-6-248-254.

Authors