Problems of standardizing agent-based model description and possible ways to solve them

V. L. Makarov; Макаров В. Л.; A. R. Bakhtizin; Бахтизин А. Р.; E. A. Rossoshanskaya; Россошанская Е. А.; T. A. Doroshenko; Дорошенко Т. А.; N. A. Samsonova; Самсонова Н. А.

doi:10.31857/S0869587323040059

Problems of standardizing agent-based model description and possible ways to solve them

Авторлар: Makarov V.¹, Bakhtizin A.¹, Rossoshanskaya E.², Doroshenko T.², Samsonova N.²
Мекемелер:
1. Central Economics and Mathematics Institute, Russian Academy of Sciences
2. Eastern State Planning Center
Шығарылым: Том 93, № 4 (2023)
Беттер: 362-372
Бөлім: ТОЧКА ЗРЕНИЯ
URL: https://journals.rcsi.science/0869-5873/article/view/140539
DOI: https://doi.org/10.31857/S0869587323040059
EDN: https://elibrary.ru/SCIOKT
ID: 140539

Дәйексөз келтіру

Толық мәтін

Ашық рұқсат
Рұқсат жабық

Рұқсат берілді
Рұқсат жабық

Тек жазылушылар үшін

Аннотация
Авторлар туралы
Әдебиет тізімі
Қосымша файлдар
Статистика

Аннотация

The problem of standardizing the description of agent-based models is considered. The foreign experience in solving this problem is studied in detail, and the authors' developments are proposed. In the course of this study, a critical analysis of the existing standards (the original ODD protocol and its updates and modifications) was carried out. An adapted translation of the ODD protocol for use in Russian-language publications was proposed. The need to develop a separate standard for describing agent-based models intended for approbation of management decisions was substantiated. The structure of the standard was proposed, and the prospects for its application were described. The scientific novelty and practical significance of this study consists in the development and justification of the first Russian-language standard for describing agent-based models with account for domestic experience, terminology, and the best examples of models’ description, as well as in the proposal to create an open registry of applied models that would provide interaction with potential users of agent-based decision support systems developed by research teams.

Негізгі сөздер

agent-based modeling, standardization, ODD protocol, decision support

Әдебиет тізімі

Бахтизин А.Р. Агент-ориентированные модели экономики. М.: ЗАО «Издательство “Экономика”», 2008.
Новикова Т.С., Цыплаков А.А. Разработка социальной политики на основе сочетания агент-ориентированного и межотраслевого подходов // Журнал Новой экономической ассоциации. 2021. № 4 (52). С. 12–36. https://doi.org/10.31737/2221-2264-2021-52-4-1
Мигранова Л.И., Минязев А.И. Прогнозирование кадровой обеспеченности региона на основе агент-ориентированного подхода // Фундаментальные исследования. 2022. № 12. С. 130–136. https://doi.org/10.17513/fr.43409
Коровин Г.Б. Агент-ориентированная модель цифровизации промышленности региона // Вестник Забайкальского государственного университета. 2022. Т. 28. № 7. С. 104–114. https://doi.org/10.21209/2227-9245-2022-28-7-104-114
Машкова А.Л. Анализ влияния информационных воздействий на выбор рациона питания жителями России на базе агент-ориентированной модели // Искусственные общества. 2022. Т. 17. № 4. https://doi.org/10.18254/S207751800023531-3
Дианов С.В., Калашников К.Н., Ригин В.А. Агент-ориентированное моделирование регионального здравоохранения: решение задачи формализации медицинской активности жителей // Экономические и социальные перемены: факты, тенденции, прогноз. 2022. Т. 15. № 1. С. 55–73.
Grimm V., Berger U., Bastiansen F. et al. A standard protocol for describing individual-based and agent-based models // Ecological Modelling. 2006. V. 198. № 1–2. P. 115–126. https://doi.org/10.1016/j.ecolmodel.2006.04.023
Grimm V., Railsback S.F., Vincenot C.E. et al. The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism // Journal of Artificial Societies and Social Simulation. 2020. № 23 (2) 7. http://jasss.soc.surrey.ac.uk/23/2/7.html. https://doi.org/10.18564/jasss.4259
Alvarez E., Brida J.G., London S. ABM documentation and ODD Protocol in Economics: a bibliometric analysis // Advances in Complex Systems. 2021. V. 24. № 03n04. P. 2140003. https://doi.org/10.1142/S0219525921400038
Hamill L., Gilbert N. Agent-Based Modelling in Economics. Chichester: WILEY, 2016. https://doi.org/10.1002/9781118945520
Россошанская Е.А. Комплексная агент-ориентированная модель воспроизводства трудового потенциала муниципального образования // Экономические и социальные перемены: факты, тенденции, прогноз. 2019. Т. 12. № 1. С. 124–137.
Grimm V., Railsback S.F. Individual-Based Modeling and Ecology // Princeton series in theoretical and computational biology. Princeton University Press, 2005.
Grimm V., Berger U., DeAngelis D.L. et al. The ODD protocol: a review and first update // Ecological modelling. 2010. V. 221. №. 23. P. 2760–2768. https://doi.org/10.1016/j.ecolmodel.2010.08.019
Polhill J.G., Parker D., Brown D., Grimm V. Using the ODD protocol for describing three agent-based social simulation models of land-use change // Journal of Artificial Societies and Social Simulation. 2008. № 11 (2) 3. https://www.jasss.org/11/2/3.html
Polhill G. ODD Updated // Journal of Artificial Societies and Social Simulation. 2010. № 13 (4) 9. https://www.jasss.org/13/4/9.html. https://doi.org/10.18564/jasss.1700
Grimm V., Revilla E., Berger U. et al. Pattern-oriented modeling of agent-based complex systems: Lessons from ecology // Science. 2005. V. 310. № 5750. P. 987–991. https://doi.org/10.1126/science.1116681
Müller B., Angermüller F., Drees R. et al. Describing human decisions in agent-based social-ecological models – ODD+D an extension of the ODD protocol // Working Paper, April 23rd 2012. http://ssrn.com/abstract=2044736.
Laatabi A., Marilleau N., Nguyen-Huu T. et al. ODD+ 2D: An ODD based protocol for mapping data to empirical ABMs // Journal of Artificial Societies and Social Simulation. 2018. №. 21 (2) 9. https://www.jasss.org/21/2/9.html. https://doi.org/10.18564/jasss.3646
Reinhardt O., Rucheinski A., Uhrmacher A.M. ODD+P: complementing the ODD protocol with provenance information // Winter Simulation Conference (WSC). Gothenburg, Sweden, 2018. P. 727–738. https://doi.org/10.1109/WSC.2018.8632481
Wolf S., Bouchaud J., Cecconi F. et al. Describing economic agent-based models – Dahlem ABM documentation guidelines // Complexity Economics. 2013. № 2. P. 63–74. https://doi.org/10.7564/13-COEC12
Groeneveld J., Müller B., Angermüller F. et al. Good modelling practice: expanding the ODD model description protocol for socioenvironmental agent based models // 6th International Congress on Environmental Modelling and Software. Leipzig, Germany. July 2012. https://scholarsarchive.byu.edu/iemssconference/2012/Stream-B/2.
Müller B., Bohn F., Dreßler G. et al. Describing human decisions in agent-based models – ODD+D, an extension of the ODD protocol // Environmental Modelling & Software. 2013. №. 48. P. 37–48. https://doi.org/10.1016/j.envsoft.2013.06.003
Chesney T., Gold S., Trautrims A. Agent Based Modelling as a Decision Support System for Shadow Accounting // Decision Support Systems. 2017. V. 95. P. 110–116. https://doi.org/10.1016/j.dss.2017.01.004
Matsatsinis N.F., Delias P. Implementing an Agent-based Decision Support System for Task Allocation: A Multi-Criteria Approach // Proceedings of the 9th Panhellenic Conference in Informatics — PCI 2003 (Thessaloniki, November 21–23, 2003). Berlin: Springer, 2003. P. 128–141.
Quindt J., Reetz E., Kukuck V. et al. Agent Based Decision Support System for Optimizing Logistical Processes in Agricultural Production // 9th IEEE International Conference on Industrial Informatics. Lisbon: IEEE, 2011. P. 27–32. https://doi.org/10.1109/INDIN.2011.6034831
Макаров В.Л., Бахтизин А.Р., Сушко Е.Д. и др. Суперкомпьютерные технологии в общественных науках: агент-ориентированные демографические модели // Вестник Российской академии наук. 2016. № 5. С. 412–421. https://doi.org/10.7868/S086958731605008X
Сушко Е.Д. Мультиагентная модель региона: концепция, конструкция и реализация / Препринт # WP/2012/292. М.: ЦЭМИ РАН, 2012.
Макаров В.Л., Бахтизин А.Р., Сушко Е.Д. Имитация особенностей репродуктивного поведения населения в агент-ориентированной модели региона // Экономика региона. 2015. № 3(43). С. 312–322. https://doi.org/10.17059/2015-3-25
Бахтизин А.Р., Макаров В.Л., Максаков А.А., Сушко Е.Д. Демографическая агент-ориентированная модель России и оценка её применимости для решения практических управленческих задач // Искусственные общества. 2021. Т. 16. № 2. https://artsoc.jes.su/s207751800015357-1-1/ https://doi.org/10.18254/S207751800015357-1
Россошанская Е.А., Дорошенко Т.А., Самсонова Н.А. и др. Агент-ориентированная демографическая модель Дальнего Востока как инструмент поддержки принятия управленческих решений // Государственное управление. Электронный вестник. 2022. № 94. С. 203–224. https://doi.org/10.24412/2070-1381-2022-94-203-224