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   1. < dc:title lang =" en-US " > Agent-based models: an effective tool in Ukrainian state formation and legal regulation </ dc:title >

   2. < dc:title lang =" es-ES " > Modelos basados en agentes: una herramienta eficaz en la formación del Estado y la regulación legal ucraniana </ dc:title >

   3. < dc:creator > Lyubchik, Oleksandr A. </ dc:creator >

   4. < dc:creator > Yadlovska, Olha S. </ dc:creator >

   5. < dc:creator > Vavzhenchuk, Sergii Y. </ dc:creator >

   6. < dc:creator > Korolchuk, Olena </ dc:creator >

   7. < dc:creator > Stakhiv, Oleksandr </ dc:creator >

   8. < dc:subject lang =" en-US " > agent-based models </ dc:subject >

   9. < dc:subject lang =" en-US " > lawmaking </ dc:subject >

   10. < dc:subject lang =" en-US " > law enforcement </ dc:subject >

   11. < dc:subject lang =" en-US " > simulation </ dc:subject >

   12. < dc:subject lang =" en-US " > strategic planning </ dc:subject >

   13. < dc:subject lang =" es-ES " > aplicación de la ley </ dc:subject >

   14. < dc:subject lang =" es-ES " > legislación </ dc:subject >

   15. < dc:subject lang =" es-ES " > modelos basados en agentes </ dc:subject >

   16. < dc:subject lang =" es-ES " > planificación estratégica </ dc:subject >

   17. < dc:subject lang =" es-ES " > simulación </ dc:subject >

   18. < dc:description lang =" en-US " > This article explains the essence of the agent-based model method that simulates artificial societies to substantiate the thesis on its feasibility and scientific usefulness in lawmaking and law enforcement in Ukraine and research in the legal field. The primary research method used is synthesis, which allows combining components of a complex phenomenon and obtaining synthetic knowledge, which expands previous experience and constructs something new. Moreover, it allows going beyond the existing basis and drawing far-sighted conclusions, forecasting the directions of effective state formation and legal regulation in Ukraine. </ dc:description >

   19. < dc:description lang =" es-ES " > Este artículo clarifica la esencia del método de modelos basados en agentes que simulan sociedades artificiales para fundamentar la tesis sobre su viabilidad y utilidad científica en la elaboración y aplicación de leyes en Ucrania y en la investigación en el ámbito jurídico. El principal método de investigación utilizado es la síntesis, que permite combinar los componentes de un fenómeno complejo y obtener un conocimiento sintético, que amplía la experiencia previa y construye algo nuevo. Además, permite ir más allá de la base existente y sacar conclusiones con visión de futuro, pronosticando las direcciones de la formación efectiva del Estado y la regulación legal en Ucrania. </ dc:description >

   20. < dc:publisher lang =" es-ES " > Sello Editorial ESMIC - Escuela Militar de Cadetes "General José María Córdova" </ dc:publisher >

   21. < dc:date > 2022-04-01 </ dc:date >

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   26. < dc:identifier > https://revistacientificaesmic.com/index.php/esmic/article/view/896 </ dc:identifier >

   27. < dc:identifier > 10.21830/19006586.896 </ dc:identifier >

   28. < dc:source lang =" en-US " > Revista Cientifica General Jose Maria Cordova; Vol. 20 No. 38 (2022): Protection of national security in the information and cyberspace; 341-353 </ dc:source >

   29. < dc:source lang =" es-ES " > Revista Científica General José María Córdova; Vol. 20 Núm. 38 (2022): Protección de la seguridad nacional en la información y el ciberespacio; 341-353 </ dc:source >

   30. < dc:source lang =" fr-FR " > Revista Científica General José María Córdova; Vol. 20 No 38 (2022): Protección de la seguridad nacional en la información y el ciberespacio; 341-353 </ dc:source >

   31. < dc:source lang =" pt-BR " > Revista Científica General José María Córdova; v. 20 n. 38 (2022): Protección de la seguridad nacional en la información y el ciberespacio; 341-353 </ dc:source >

   32. < dc:source > 2500-7645 </ dc:source >

   33. < dc:source > 1900-6586 </ dc:source >

   34. < dc:language > eng </ dc:language >

   35. < dc:relation > https://revistacientificaesmic.com/index.php/esmic/article/view/896/852 </ dc:relation >

   36. < dc:relation > https://revistacientificaesmic.com/index.php/esmic/article/view/896/1200 </ dc:relation >

   37. < dc:relation > /*ref*/Ageeva, A.F. (2018). Socio-Natural and Socio-Ecological-Economic Models Created Using the Method of Agent-Based Modeling. Bulletin of the Plekhanov Russian University of Economics, 4, 100-115. https://doi.org/10.18254/S207751800007439-1 </ dc:relation >

   38. < dc:relation > /*ref*/Ageeva, A.F. (2019). Agent Modeling of Socio-Political Systems and Processes: History of Development and Prospects for Practical Application. Modeling, Optimization and Information Technology, 7(4). https://doi.org/10.26102/2310-6018/2019.27.4.005. </ dc:relation >

   39. < dc:relation > /*ref*/Akopov, A. S., Beklaryan, L.A., Belyaeva, O., Sahakyan, L., Saghatelyan, A.K., & Tepanosyan, G. (2020). Agent-based modelling of mutual influence between horizontal-vertical greenery systems and air pollutants with the use of the city of Yerevan, Armenia as a case study. Artificial Societies, 15(1). https://doi.org/10.18254/S207751800008317-7 </ dc:relation >

   40. < dc:relation > /*ref*/Bakhtizin, A.R. (2015). Agent-based models. Simulation. http://simulation.su/uploads/files/default/prez-bahtizin.pdf </ dc:relation >

   41. < dc:relation > /*ref*/Chekmareva, E.A. (2016). Reproduction of Labor Potential as an Object of Simulation. Territory Development Problems, 6(86), 166-172. http://simulation.su/uploads/files/default/2016-chekmareva-1.pdf </ dc:relation >

   42. < dc:relation > /*ref*/Chyzhmar, Y., Rezvorovich, K., Orlovskyi, R., Kysylova, K., & Buhaichuk, K. (2019). State employment service: European approaches to providing electronic services. Journal of Legal, Ethical and Regulatory Issues, 22(6), 1-7. </ dc:relation >

   43. < dc:relation > /*ref*/Epstein, J. M. (2006). Chapter 34 Remarks on the Foundations of Agent-Based Generative Social Science. Handbook of Computational Economics, 2, 1585-1604. http://doi.org/10.1016/S1574-0021(05)02034-4 </ dc:relation >

   44. < dc:relation > /*ref*/Gorbulin, V. P. & Kaczynski, A.B. (2010). Strategic planning: solving national security problems. NISS. </ dc:relation >

   45. < dc:relation > /*ref*/Istratov, V.A. (2006). The basic computer model of human behavior. Artificial Societies, 1(1), 46-49. https://artsoc.jes.su/s207751800000094-2-1/ </ dc:relation >

   46. < dc:relation > /*ref*/Ivashchenko, A. & Verbytsky, S. (2006). Regulatory Support of Strategic Planning from the Experience of Great Britain and the USA. Political Management, 1, 140-150. Dspace.Nbuv. http://dspace.nbuv.gov.ua/bitstream/handle/123456789/8714/15-Ivaschenko.pdf?sequence=1 </ dc:relation >

   47. < dc:relation > /*ref*/Khovpun, O.S., Zavydniak, V.I., Zavydniak, I.O., Kovtun, V.M., & Zhuravel, Y.V. (2019). International legal norms as a source of criminal procedural law. Journal of Advanced Research in Law and Economics, 10(5), 1466–1476 </ dc:relation >

   48. < dc:relation > /*ref*/Lamperti, F., Dosi, G., Napoletano, M., Roventini, A. & Sapio, A. (2018). Faraway, So Close: Coupled Climate and Economic Dynamics in an Agent-Based Integrated Assessment Model. Ecological Economics, 150, 315-339. http://dx.doi.org/10.1016/j.ecolecon.2018.03.023 </ dc:relation >

   49. < dc:relation > /*ref*/Law of Ukraine No. 1587-III (2000). On the distribution of copies of audio-visual works, phonograms, videograms, computer programs, databases. March 23. The Verkhovna Rada of Ukraine. https://zakon.rada.gov.ua/laws/show/1587-14#Text. </ dc:relation >

   50. < dc:relation > /*ref*/Law on Strategic Planning in the Russian Federation (2014). Federal Law. No. 172-FZ, 28 June 2014. Base.Garant. http://base.garant.ru/70684666/. </ dc:relation >

   51. < dc:relation > /*ref*/Lychkina, N.N. (2012). Simulation modeling of economic processes: Textbook. INFRA-M. </ dc:relation >

   52. < dc:relation > /*ref*/Makarov V.L., & Bakhtizin A. H. (2013). Social modeling is a new computer breakthrough (agent-based models). Ekonomika. </ dc:relation >

   53. < dc:relation > /*ref*/Makarov, V.L. (2006). Artificial Societies. Artificial Societies, 1(1), 10-24. http://www.cemi.rssi.ru/publication/e-publishing/makarov/text.pdf </ dc:relation >

   54. < dc:relation > /*ref*/Radzivill, O., Pyvovar, Y., Sopilko, I., & Pyvovar, I. (2018). Coordination of fragmentation within the international air law. International Journal of Engineering and Technology(UAE), 7(3.30 Special Issue 30), 280-283. https://doi.org/10.14419/ijet.v7i3.2.14420 </ dc:relation >

   55. < dc:relation > /*ref*/Ramazanov, R.R. (2018). The Problem of Delimiting the Powers of Government Levels to Provide Public Services. USPTU Bulletin. Science, Education, Economics. Series: Economics, 4(26), 93-99. https://doi.org/10.17122/2541-8904-2019-4-30-50-60 </ dc:relation >

   56. < dc:relation > /*ref*/Ramazanov, R.R. (2019). Agent-based modeling the distribution of authorities between the levels of the state. Artificial Societies, 14(3). https://doi.org/10.18254/S207751800006877-3 </ dc:relation >

   57. < dc:relation > /*ref*/Sushko, E.D. (2012). Multiagent model of the region: the concept, design and implementation. CEMI Russian Academy of Science. http://simulation.su/uploads/files/default/2012-sushko-1.pdf </ dc:relation >

   58. < dc:relation > /*ref*/Vakulyk, O., Petrenko, P., Kuzmenko, I., Pochtovyi, M., & Orlovskyi, R. (2020). Cybersecurity as a component of the national security of the state. Journal of Security and Sustainability Issues, 9(3), 775-784. https://doi.org/10.9770/JSSI.2020.9.3(4) </ dc:relation >

   59. < dc:rights lang =" es-ES " > Derechos de autor 2022 Revista Científica General José María Córdova </ dc:rights >

   60. < dc:rights lang =" es-ES " > https://creativecommons.org/licenses/by-nc-nd/4.0 </ dc:rights >

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                  2. < given-names > Olena </ given-names >

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               3. < contrib-id authenticated =" true " contrib-id-type =" orcid " > https://orcid.org/0000-0002-5083-3225 </ contrib-id >

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                  1. < surname > Stakhiv </ surname >

                  2. < given-names > Oleksandr </ given-names >

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               3. < contrib-id authenticated =" true " contrib-id-type =" orcid " > https://orcid.org/0000-0002-9240-0890 </ contrib-id >

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            1. < institution content-type =" orgname " > Luhansk State University of Internal Affairs, Ucrania </ institution >

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            1. < institution content-type =" orgname " > Dnipropetrovsk State University of Internal Affairs, Ucrania </ institution >

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            1. < institution content-type =" orgname " > Taras Shevchenko National University of Kyiv, Ucrania </ institution >

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            1. < institution content-type =" orgname " > Uzhhorod National University, Ucrania </ institution >

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             1. < institution content-type =" orgname " > Oles Honchar Dnipro National University, Ucrania </ institution >

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         11. < pub-date date-type =" pub " publication-format =" epub " >

             1. < day > 01 </ day >

             2. < month > 04 </ month >

             3. < year > 2022 </ year >

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         12. < volume > 20 </ volume >

         13. < issue > 38 </ issue >

         14. < fpage > 341 </ fpage >

         15. < lpage > 353 </ lpage >

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             1. < copyright-statement > Derechos de autor 2022 Revista Científica General José María Córdova </ copyright-statement >

             2. < copyright-year > 2022 </ copyright-year >

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             4. < license href =" https://creativecommons.org/licenses/by-nc-nd/4.0 " >

                1. < license-p > Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0. </ license-p >

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             1. < kwd > agent-based models </ kwd >

             2. < kwd > lawmaking </ kwd >

             3. < kwd > law enforcement </ kwd >

             4. < kwd > simulation </ kwd >

             5. < kwd > strategic planning </ kwd >

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         21. < kwd-group lang =" es " >

             1. < kwd > aplicación de la ley </ kwd >

             2. < kwd > legislación </ kwd >

             3. < kwd > modelos basados en agentes </ kwd >

             4. < kwd > planificación estratégica </ kwd >

             5. < kwd > simulación </ kwd >

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         22. < abstract lang =" en " >

             1. < p > This article explains the essence of the agent-based model method that simulates artificial societies to substantiate the thesis on its feasibility and scientific usefulness in lawmaking and law enforcement in Ukraine and research in the legal field. The primary research method used is synthesis, which allows combining components of a complex phenomenon and obtaining synthetic knowledge, which expands previous experience and constructs something new. Moreover, it allows going beyond the existing basis and drawing far-sighted conclusions, forecasting the directions of effective state formation and legal regulation in Ukraine. </ p >

             </ abstract >

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             1. < p > Este artículo clarifica la esencia del método de modelos basados en agentes que simulan sociedades artificiales para fundamentar la tesis sobre su viabilidad y utilidad científica en la elaboración y aplicación de leyes en Ucrania y en la investigación en el ámbito jurídico. El principal método de investigación utilizado es la síntesis, que permite combinar los componentes de un fenómeno complejo y obtener un conocimiento sintético, que amplía la experiencia previa y construye algo nuevo. Además, permite ir más allá de la base existente y sacar conclusiones con visión de futuro, pronosticando las direcciones de la formación efectiva del Estado y la regulación legal en Ucrania. </ p >

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   2. < id > https://revistacientificaesmic.com/index.php/esmic/article/view/896 </ id >

   3. < entry > 2024-11-12T00:13:47Z </ entry >

   4. < organization > Sello Editorial ESMIC - Escuela Militar de Cadetes "General José María Córdova" </ organization >

   5. < organization > Vol. 20 Núm. 38 (2022): Protección de la seguridad nacional en la información y el ciberespacio; 341-353 </ organization >

   6. < title > Modelos basados en agentes: una herramienta eficaz en la formación del Estado y la regulación legal ucraniana </ title >

   7. < type />

   8. < author > Lyubchik, Oleksandr A. ; Luhansk State University of Internal Affairs, Ucrania </ author >

   9. < author > Yadlovska, Olha S. ; Dnipropetrovsk State University of Internal Affairs, Ucrania </ author >

   10. < author > Vavzhenchuk, Sergii Y. ; Taras Shevchenko National University of Kyiv, Ucrania </ author >

   11. < author > Korolchuk, Olena ; Uzhhorod National University, Ucrania </ author >

   12. < author > Stakhiv, Oleksandr; Oles Honchar Dnipro National University, Ucrania </ author >

   13. < date > 2022-04-01 </ date >

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   15. < other_access > url:https://revistacientificaesmic.com/index.php/esmic/article/view/896 </ other_access >

   16. < keyword > aplicación de la ley </ keyword >

   17. < keyword > legislación </ keyword >

   18. < keyword > modelos basados en agentes </ keyword >

   19. < keyword > planificación estratégica </ keyword >

   20. < keyword > simulación </ keyword >

   21. < language > en_US </ language >

   22. < abstract > Este artículo clarifica la esencia del método de modelos basados en agentes que simulan sociedades artificiales para fundamentar la tesis sobre su viabilidad y utilidad científica en la elaboración y aplicación de leyes en Ucrania y en la investigación en el ámbito jurídico. El principal método de investigación utilizado es la síntesis, que permite combinar los componentes de un fenómeno complejo y obtener un conocimiento sintético, que amplía la experiencia previa y construye algo nuevo. Además, permite ir más allá de la base existente y sacar conclusiones con visión de futuro, pronosticando las direcciones de la formación efectiva del Estado y la regulación legal en Ucrania. </ abstract >

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