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Perm University Herald. Juridical Sciences. 2021. Issue 3 (53) |
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| Title: | MODELING IN LAW |
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| Authors: |
M. V. Degtyarev, Administration of the Khabarovsk Territory |
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| ORCID: | 0000-0003-0409-369X |
ResearcherID: | AAS-5312-2021 |
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| Articles of «Scopus» & «Web of Science»: | --- | |||||||||
| Requisites: | Degtyarev M. V. Modelirovanie v prave [Modeling in Law]. Vestnik Permskogo universiteta. Juridicheskie nauki – Perm University Herald. Juridical Sciences. 2021. Issue 53. Pp. 436–461. (In Russ.). DOI: 10.17072/1995-4190-2021-53-436-461 |
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| DOI: | 10.17072/1995-4190-2021-53-436-461 |
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| Annotation: |
Introduction: the paperdiscusses the significance and relevance of the modeling method in law and legal activity, the concept and ontological features of modeling in law. We consider legal modeling to be not only a research method but also an activity involved in the transformation of legal systems, landscapes, and spaces. Being such an activity, it is applied in the design and assessment in rule making, in the ‘architecture’ of regulatory spaces being designed, is associated with such a technology, belonging to the ‘ecosystem’ of the latest regulatory technologies (LegalTech), as legal experiment. Purpose: on the basis of the general theory of modeling and a number of our own scientific hypotheses about the significance of applying the modeling method for ensuring the implementation of legislative activity (including as part of the processes of designing and implementing a legislative experiment), to explore the possibilities and tools of legal modeling, the essence and advantages of this instrumental-methodological approach, the types of modeling that are relevantly applicable as part of lawmaking activity and legal activity in general, the features and logic of modeling in lawmaking. Methods: analysis and synthesis, deduction, induction and abduction, classification and modeling, comparison and analogy, generalization, formalization and idealization, observation. Results: we have described and explained the nature, essence, ontological features, and instrumental support of the application of the modeling method in law and legal activity, the advantages and scope of its use, the variety of approaches and tools within this method, its relationship with the method of regulatory experiment. Conclusions: the method of legal modeling is related to the method of regulatory experiment, it is one of the promising relevant approaches to ensuring the preparation and implementation of a regulatory experiment and, at the same time, one of its supporting mechanisms. When applying modeling, it is possible to make the process of a regulatory experiment more predictable and adequate (due to the opportunity to choose the most correct ways of implementing such an experiment from the very beginning), to make it more initially calculated. Although modeling has long been known as a method applied in law and legal activity, so far it has demonstrated too few empirically valuable results and relevant theoretical generalizations at a serious level. It needs further development and support, especially with regard to the application of this method in combination with the method of regulatory experiment. |
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| Keywords: | modeling in law; model; regulatory experiment; law; regulatory technologies; lawmaking; legal technique; rule maker; regulatory space |
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| References: | 1. Aristov E. V., Kuznetsova O. A. K voprosu o formirovanii i razvitii prava robotov (pravovogo regulirovaniya robototekhniki) [On the Formation and Development of the Law of Robots (Legal Regulation of Robotics)]. Nauka i obrazovanie: hozyaystvo i ekonomika; predprinimatel'stvo; pravo i upravlenie – Science and Education: Economy, Entrepreneurship, Law and Administration. 2018. Issue 8. Pp. 58–62. (In Russ.). 2. Golubtsov V. G., Valeev D. Kh. Pravovoe modelirovanie kak metod tsivilisticheskogo issledovaniya [Legal Modeling as a Method of Civil Research]. Metodologicheskie problemy tsivilisticheskikh issledovaniy – Methodological Problems of the Civil Law Researches. 2021. Issue 3. Pp. 276–296. (In Russ.). 3. Kuznetsova O. A. Pravovoy eksperiment kak nauchno-issledovatel'skiy metod v tsivilistike [Legal Experiment as a Scientific Research Method of Civil Science]. Metodologicheskie problemy tsivilisticheskikh issledovaniy – Methodological Problems of the Civil Law Researches. 2021. Issue 3. Pp. 297–318. (In Russ.). 4. Ponkin I. V., Kupriyanovskiy V. P., Ponkin D. I. Fintech, Regtech i regulyatornye pesochnitsy: poniatie, tsifrovaya ontologiya, perspektivy [Fintech, Regtech and Regulatory Sandboxes: Concept, Digital Ontology, Prospects]. Sovremennye informatsionnye tekhnologii i IT-obrazovanie – Modern Information Technologies and IT-Education. 2020. Vol. 16. Issue 1. Pp. 224–234. (In Russ.). 5. Ponkin I. V., Lapteva A. I. Metodologiya nauchnykh issledovaniy i prikladnoy analitiki: Uchebnik [Methodology of Scientific Research and Applied Analytics: Textbook]. 2nd ed., revised and expanded. Moscow, 2021. 567 p. (In Russ.). 6. Ponkin I. V., Lapteva A. I. Pravo i tsifra: Mashinochitaemoe pravo, tsifrovye modeli-dvoyniki, tsifrovaya formalizatsiya i tsifrovaya onto-inzheneriya v prave: Uchebnik [Law and Digital: Machine-Readable Law, Digital Twin Models, Digital Formalization, Digital Onto-Engineering in Law: Textbook]. Moscow, 2021. 174 p. (In Russ.). 7. Allensworth R. H. Law and the Art of Modeling: Are Models Facts? The Georgetown Law Journal. 2015. Vol. 103. Pp. 825–877. (In Eng.). 8. Andersen D. F., Rich E., MacDonald R. System Dynamics Applications to Public Policy. Complex Systems in Finance and Econometrics. Ed. by R. Meyers. New York: Springer, 2009. Pp. 655–670. (In Eng.). 9. Armatte M. La Notion de Modèle Dans les Sciences Sociales: Anciennes et Nouvelles Significations. Mathematics and Social Sciences. 2005. Vol. 4. Issue 172. Pp. 91–123. DOI: 10.4000/msh.2962. (In Fr.). 10. Ashley K. D. Modeling Legal Argument: Reasoning with Cases and Hypotheticals. Cambridge (MA, USA): The MIT Press, 1991. 346 p. (In Eng.). 11. Badham J. A Compendium of Modelling Techniques. Integration Insights. 2010, May. Issue 12. Р. 24. (In Eng.). 12. Borges F.A. Théorie et Modélisation de la Décision de Justice: L'exemple du Juge Judiciaire: Thèse de Doctorat en Droit. Paris: Université Panthéon-Assas, 2004. 565 p. (In Fr.). 13. Bourcier D. Sciences Juridiques et Complexité. Un Nouveau Modèle D'analyse. Droit et Cultures. 2011. Issue 1. Pp. 37–53. (In Fr.). 14. Bribiesca L., Merino G. Teorías, Modelos y Paradigmas en la Investigación Científica. Ciencia. 2008, April–June. Pp. 79–88. (In Span.). 15. Bulle N. Modèle et Sciences Humaines. Dictionnaire des Sciences Humaines. Ed. by S. Mesure, P. Savidan. Paris: PUF, 2006. Pp. 781–784. (In Fr.). 16. Bustamante T. Interpreting Plans: a Critical View of Scott Shapiro's Planning Theory of Law. Australian Journal of Legal Philosophy. 2012. Vol. 37. Pp. 219–250. (In Eng.). 17. Challine J.-P. Les Techniques de Modéli¬sation de la Connaissance Dans le Domaine du Droit. Documentaliste-Sciences de l'Infor¬ma¬tion. 2002. Vol. 39. Issue 4–5. Pp. 182–188. (In Fr.). 18. Chemin N. Les Apports de la Modélisation Dans L'acquisition des Connaissances en Astro¬nomie: Mémoire Professionnel. Orléans: Insti¬tut universitaire de formation des maîtres (IUFM) d'Orléans-Tours, 2004. 37 p. (In Fr.). 19. Ciaghi A., Weldemariam K., Villafiorita A. Law Modeling with Ontological Support and BPMN: a Case Study. CYBERLAWS 2011: The Second International Conference on Technical and Legal Aspects of the e-Society. Gosier: Interna¬tional Academy, Research, and Industry Association, 2012. Pp. 29–34. (In Eng.). 20. Dadgostari F., Guim M, Beling P. A., Livermore M. A., Rockmore D. N. Modeling Law Search as Prediction. Artificial Intelligence and Law. 2021. Vol. 29. Issue 1. Pp. 3–34. DOI: 10.1007/s10506-020-09261-5. (In Eng.). 21. De Vos M., Padget J., Satoh K. Legal Modelling and Reasoning Using Institutions. New Frontiers in Artificial Intelligence. Ed. by T. Onada, D. Bekki, F. McCready. Berlin: Springer, 2011. ix; 342 p. Pp. 129–140. (In Eng.). 22. Eltzbacher P. Die Handlungsfähigkeit nach Deutschem Bürgerlichem Recht. Berlin: Verlag von Franz Vahlen, 1903. (In Germ.). 23. Estrada M. A. R. Policy Modeling: Definition, Classification and Evaluation. Journal of Policy Modeling. 2011. Issue 33. Pp. 523–536. DOI:10.1016/j.jpolmod.2011.02.003. (In Eng.). 24. Gentile J. E., Glazner C., Koehler M. Simulation Models for Public Policy. Modeling Complex Systems for Public Policies. Ed. by B. A. Furtado, P. A. M. Sakowski, M. H. Tóvolli. Brasília: IPEA, 2015. 396 p. Pp. 73–83. (In Eng.). 25. Geny F. Science et Technique en Droit Privé Positif. Troisième Partie: Élaboration Technique du Droit Positif. Paris: Librairie de la Société du Recueil Sirey, 1921. 40 p. (In Fr.). 26. Gilbert N., Ahrweiler P., Barbrook-Johnson P., Narasimhan K. P., Wilkinson H. Computational Modelling of Public Policy: Reflections on Practice. Journal of Artificial Societies and Social Simulation. 2018. Vol. 21. Issue 1. DOI: 10. 18564/jasss.3669. (In Eng.). 27. Katzner D. W. The Stages of Model Building in Economics. Studies in Micro-economics. 2016. Vol. 4. Issue 2. Pp. 79–99. DOI: 10.1177/ 2321022216636421. (In Eng.). 28. Kiel L. D. A Primer for Agent-Based Modeling in Public Administration: Exploring Complexity in 'Would-be' Administrative Worlds. Public Administration Quarterly. Fall 2005 – Winter 2006. Vol. 29. Issue 3/4. Pp. 268–296. (In Eng.). 29. Koliba C. J., Zia A. Complex Systems Modeling in Public Administration and Policy Studies: Challenges and Opportunities for a Meta-Theoretical Research Program. Compact I: Public Administration in Complexity. Ed. by L. Gerrits, P. Marks. Litchfield Park: Emergent Publications, 2012. Pp. 112–140. (In Eng.). 30. Lempert R. Agent-Based Modeling as Organizational and Public Policy Simulators. Proceedings of the National Academy of Sciences of the United States of America. 2002. Vol. 99. Suppl. 3. Pp. 7195–7196. (In Eng.). 31. Madachy R. System Dynamics Structures for Modeling Lawmaking Processes. The Science of Laws Journal. 2017. Vol. 3. Issue 1. Pp. 12–22. (In Eng.). 32. Maldonado C. E. Tipología de Modelos Científicos de Explicación. Ciencia y Com-plejidad. Sociologia y Tecnociencia. 2017. Vol. 7. Issue 2. Pp. 58–72. DOI: 10.24197/st.2.2017.58-72. (In Span.). 33. Meunier J. G. Humanités Numériques et Modélisation Scientifique. Questions de Communication. 2017. Issue 31. Pp. 19–48. DOI: 10.4000/ questionsdecommunication.11040. (In Fr.). 34. Mimouni N. Modeling Legal Documents as Typed Linked Data for Relational Querying. First JURIX Doctoral Consortium and Poster Sessions in Conjunction with the 26th International Conference on Legal Knowledge and Information Systems, JURIX 2013. Bologna, 2013. (In Eng.). 35. Mooers C. N. The Theory of Digital Handling of Non-Numerical Information and Its Implications to Machine Economics. Boston: Zator Company, 1950. 34 p. (In Eng.). 36. Morrison M., Morgan M. S. Models as Me¬diating Instruments. Models as Mediators: Per¬spectives on Natural and Social Science. Ed. by M. Mor¬gan, M. S. Morrison. Cambridge: Cam¬bridge University Press, 1999. Pp. 10–37. (In Eng.). 37. Oh P. S., Oh S. J. What Teachers of Science Need to Know about Models: An Over-view. International Journal of Science Education. 2011. Vol. 33. Issue 8. Pp. 1109–1130. DOI: 10.1080/09500693.2010.502191. (In Eng.). 38. Pavé A. La Modélisation et la Simulation des Objets et Processus Complexes. Questions Scientifiques, Méthodologiques et éthiques. Natures Sciences Sociétés. 2005. Vol. 13. Issue 2. Pp. 169–171. DOI: 10.1051/nss:2005024. (In Fr.). 39. Poussin J.-C. Notions de système et de modèle. Cahiers des Sciences Humaines. 1987. Vol. 23. Issue 3–4. Pp. 439–441. (In Fr.). 40. Reeb J., Leavengood S. An Introduction to Models and Probability Concepts. Corvallis (Oregon, USA): Oregon State University, 1998. 19 p. (In Eng.). 41. Robinson S., Arbez G., Birta L. G., Tolk A., Wagner G. Conceptual Modeling: Definition, Purpose and Benefits. Proceedings of the 2015 Winter Simulation Conference. Ed. by L. Yilmaz, W. K. V. Chan, I. Moon, T. M. K. Roeder, C. Macal, M. D. Rossetti. Huntington Beach (CA, USA), 2015. Pp. 2812–2826. (In Eng.). 42. Rothenberg J. The Nature of Modeling.; Artificial Intelligence, Simulation, and Modeling. Ed. by L. E. Widman, K. A. Loparo, N. Nielson. New York: John Wiley & Sons, 1989. 556 p. (In Eng.). 43. Roy P., Hasni A. Les Modèles et la Modé¬li¬sation vus par des Enseignants de Sciences et Tech¬nologies du Secondaire au Québec. McGill Jour¬nal of Education. 2014, Spring. Vol. 49. Issue 2. Pp. 349–372. DOI: 10.7202/1029424ar. (In Fr.). 44. Schmidt-Lainé С., Pavé A. La Modélisation au Cœur de la Démarche Scientifique et à la Confluence des Disciplines. Les Cahiers du Musée des Confluences. Revue Thématique Sciences et Sociétés du Musée des Confluences. 2008. Vol. 2. Pp. 21–34. (In Fr.). 45. Schrunk D. G. The Systems Engineering Approach to the Design of Laws. Procedia Computer Science. 2012. Vol. 8. Pp. 327–332. DOI: 10.1016/j.procs.2012.01.068. (In Eng.). 46. Sekerák J. Phases of Mathematical Modelling and Competence of High School Students. The Teaching of Mathematics. 2010. Vol. XIII. Issue 2. Pp. 105–112. (In Eng.). 47. Shapiro S. The Planning Theory of Law. Yale Law School, Public Law Research Paper. 2017. Issue 600. (In Eng.). 48. Toon A. Imagination in Scientific Modeling. The Routledge Handbook of Philosophy of Imagination. Ed. by A. Kind. Abingdon: Routledge, 2016. Pp. 451–462. (In Eng.). 49. Valente A., Breuker J., Brouwer B. Legal Modeling and Automated Reasoning with On-Line. International Journal of Human-Computer Studies. 1999. Vol. 51. Issue 6. Pp. 1079–1125. (In Eng.). 50. Varenne F. Histoire de la Modélisation: Quelques Jalons. Actes du Colloque 'Modélisation Succès et Limites'. Paris: CNRS & Académie des Technologies, 2016. Pp. 10–35. (In Fr.). |
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| Received: | 05.06.2021 | |||||||||
| Financing: |
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The Perm State University
614068, Perm, street Bukireva, 15 (Faculty of Law), +7 (342) 2 396 275
vesturn@yandex.ru
ISSN 1995-4190 ISSN (eng.) 2618-8104
ISSN (online) 2658-7106
DOI 10.17072/1995-4190
614068, Perm, street Bukireva, 15 (Faculty of Law), +7 (342) 2 396 275
vesturn@yandex.ru
ISSN 1995-4190 ISSN (eng.) 2618-8104
ISSN (online) 2658-7106
DOI 10.17072/1995-4190
(с) Editorial board, 2010
The magazine is registered in Federal Agency of supervision in sphere of communication and mass communications.
The certificate on registration of mass media ПИ № ФС77-33087 from September, 5th, 2008
The certificate on reregistration of mass media ПИ № ФС77-53189 from Marth, 14th, 2013
The magazine is included in List ВАК and in the Russian index of scientific citing
The founder & Publisher: the State educational institution of the higher training
“The Perm State University”.
Publishing 4 times a year
The certificate on registration of mass media ПИ № ФС77-33087 from September, 5th, 2008
The certificate on reregistration of mass media ПИ № ФС77-53189 from Marth, 14th, 2013
The magazine is included in List ВАК and in the Russian index of scientific citing
The founder & Publisher: the State educational institution of the higher training
“The Perm State University”.
Publishing 4 times a year