SIMULATION OF THE ECONOMIC BEHAVIOR OF COGNITIVE HOUSEHOLDS USING THE AGENT-BASED APPROACH: SYSTEMATIC REVIEW
DOI:
https://doi.org/10.36773/1818-1112-2026-140-2-181-188Keywords:
economic behavior of households, agent-based modeling, bounded rationality, systematic reviewAbstract
The concept of representative agent is increasingly being questioned and the issue of modeling more realistic reactions of economic agents, in particular, such heterogeneous and unstructured social macro groups as households is becoming relevant, especially in the context of crises caused by entrepreneurs’ actions and external shocks. The relevance of the study of methodological and practical approaches to simulation of heterogeneous and not always rational households is due to the need for their adaptation to institutional changes and solving related problems on assessing the management decisions’ consequences on the one hand and the rapid development of tools for modeling and forecasting socio-economic processes on the other. In order to identify modern approaches to the simulation of cognitive households, a systematic review of empirical articles focused on building agent-based models with households imitating their economic behavior was completed. Search in the journal «Journal of Artificial Societies and Social Simulation» and the RSCI database yielded 235 articles. 38 articles selected based on inclusion and exclusion criteria were categorized into categories depending on (i) the source of decision-making rules, (ii) the form of issuing preferences, (iii) the cognitive process factors. The distinctive characteristics of these groups are revealed, and the significance and possible application of the factors of psychological mechanisms and information limits in agent-based models are discussed.
References
Robbins, L. An Essay on the Nature and Significance of Economic Science / L. Robbins. – 1st ed., reprinted. – Auburn : Ludwig von Mises Institute, 2007. – 141 p.
История экономических учений : учеб. пособие / под ред. В. Автономова, О. Ананьина, Н. Макашевой. – М. : ИНФРА-М, 2002. – 784 с.
Gorman, W. M. Community Preference Fields / W. M. Gorman // Econometrica. – 1953. – Vol. 21, No. 1. – P. 63–80.
Becker, G. S. A Treatise on the Family / G. S. Becker. – Enl. ed. – Cambridge : Harvard University Press, 1991. – 424 p.
Hayek, F. A. The Use of Knowledge in Society / F. A. Hayek // The American Economic Review. – 1945. – Vol. 35, No. 4. – P. 519–530.
Макаров, В. Л. Современные инструменты моделирования социально-экономических процессов / В. Л. Макаров, А. Р. Бахтизин // Экономика Северо-Запада: проблемы и перспективы развития. – 2024. – № 1 (76). – С. 21–32. – DOI: 10.52897/2411-4588-2024-1-21-32.
Раицкая, Л. К. Обзор как перспективный вид научной публикации, его типы и характеристики / Л. К. Раицкая, Е. В. Тихонова // Научный редактор и издатель. – 2019. – Т. 4, № 3–4. – С. 131–139. – DOI: 10.24069/2542-0267-2019-3-4-131-139.
Радаев, В. В. Что такое «экономическое действие»? / В. В. Радаев // Экономическая социология. – 2002. – Т. 3, № 5. – С. 18–25.
An Energy Systems Modelling Tool for the Social Simulation Community / L. A. Bollinger, M. J. van Blijswijk, G. P. J. Dijkema, I. Nikolic // Journal of Artificial Societies and Social Simulation. – 2016. – Vol. 19, Iss. 1. – DOI: 10.18564/jasss.2971.
Finance and Market Concentration Using Agent-Based Modeling: Evidence from South Korea / Y. Seo, Z. Altiner, S. Lee [et al.] // Journal of Artificial Societies and Social Simulation. – 2025. – Vol. 28, Iss. 3. – DOI: 10.18564/jasss.5710.
An Agent-Based Model of Flood Risk and Insurance / J. Dubbelboer, I. Nikolic, K. Jenkins, J. Hall // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 1. – DOI: 10.18564/jasss.3135.
ReMoTe-S. Residential Mobility of Tenants in Switzerland: An Agent-Based Model / A. Pagani, F. Ballestrazzi, E. Massaro, C. R. Binder // Journal of Artificial Societies and Social Simulation. – 2022. – Vol. 25, Iss. 2. – DOI: 10.18564/jasss.4752.
Furtado, B. A. A Simple Agent-Based Spatial Model of the Economy: Tools for Policy / B. A. Furtado, I. D. R. Eberhardt // Journal of Artificial Societies and Social Simulation. – 2016. – Vol. 19, Iss. 4. – DOI: 10.18564/jasss.3071.
Granovetter, M. Threshold Models of Collective Behavior / M. Granovetter // American Journal of Sociology. – 1978. – Vol. 83, No. 6. – P. 1420–1443.
Xiong, H. Identifying Mechanisms Underlying Peer Effects on Multiplex Networks / H. Xiong, D. Payne, S. Kinsella // Journal of Artificial Societies and Social Simulation. – 2018. – Vol. 21, Iss. 4. – DOI: 10.18564/jasss.3797.
Latané, B. The Psychology of Social Impact / B. Latané // American Psychologist. – 1981. – Vol. 36, No. 4. – P. 343–356. – DOI: 10.1037/0003-066X.36.4.343.
Агент-ориентированная многорегиональная модель «затраты–выпуск» российской экономики / В. И. Суслов, Д. А. Доможиров, Н. М. Ибрагимов [и др.] // Экономика и математические методы. – 2016. – Т. 52, № 1. – С. 112–131.
Кузьмин, И. С. Применение агент-ориентированного подхода для моделирования эффектов от различных налоговых режимов / И. С. Кузьмин // Искусственные общества. – 2025. – T. 20, № 2. – DOI: 10.18254/S207751800034521-2.
Новикова, Т. С. Разработка социальной политики на основе сочетания агент-ориентированного и межотраслевого подходов / Т. С. Новикова, А. А. Цыплаков // Журнал Новой экономической ассоциации. – 2021. – № 4 (52). – С. 12–36. – DOI: 10.31737/2221-2264-2021-52-4-1.
Бахтизин, А. Р. Гибридные методы моделирования общего экономического равновесия с использованием агент-ориентированных моделей : автореф. дис. … д-ра эконом. наук : 08.00.13 / Бахтизин Альберт Рауфович ; Центр. эконом.-мат. ин-т РАН. – М., 2008. – 49 с.
Серков, Л. А. Объединение агентного подхода и подхода общего равновесия для анализа влияния теневого сектора на российскую экономику / Л. А. Серков, С. С. Красных // Компьютерные исследования и моделирование. – 2020. – Т. 12, № 3. – С. 669–684. – DOI: 10.20537/2076-7633-2020-12-3-669-684.
Тамбовцев, В. Л. Концепт укоренённости в теории и эмпирических исследованиях / В. Л. Тамбовцев // Вопросы теоретической экономики. – 2022. – № 4. – С. 25–45. – DOI: 10.52342/2587-7666VTE_2022_4_25_45.
Ajzen, I. The theory of planned behavior / I. Ajzen // Organizational Behavior and Human Decision Processes. – 1991. – Vol. 50, Iss. 2. – P. 179–211. – DOI: 10.1016/0749-5978(91)90020-T.
An Agent-Based Model of Electricity Consumer: Smart Metering Policy Implications in Europe / J. Vasiljevska, J. Douw, A. Mengolini, I. Nikolic // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 1. – DOI: 10.18564/jasss.3150.
Krebs, F. An Empirically Grounded Model of Green Electricity Adoption in Germany: Calibration, Validation and Insights into Patterns of Diffusion / F. Krebs // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 2. – DOI: 10.18564/jasss.3429.
An Agent-Based Model to Simulate Meat Consumption Behaviour of Consumers in Britain / A. Scalco, J. I. Macdiarmid, T. Craig [et al.] // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 4. – DOI: 10.18564/jasss.4134.
Muelder, H. One Theory – Many Formalizations: Testing Different Code Implementations of the Theory of Planned Behaviour in Energy Agent-Based Models / H. Muelder, T. Filatova // Journal of Artificial Societies and Social Simulation. – 2018. – Vol. 21, Iss. 4. – DOI: 10.18564/jasss.3855.
Hailegiorgis, A. An Agent-Based Model of Rural Households’ Adaptation to Climate Change / A. Hailegiorgis, A. Crooks, C. Cioffi-Revilla // Journal of Artificial Societies and Social Simulation. – 2018. – Vol. 21, Iss. 4. – DOI: 10.18564/jasss.3812.
Egner, L. E. Effect of Policy Implementation on Energy Retrofit Behavior and Energy Consumption in a Simulated Neighborhood / L. E. Egner, C. Klöckner // Journal of Artificial Societies and Social Simulation. – 2022. – Vol. 25, Iss. 4. – DOI: 10.18564/jasss.4936.
Шмидт, Ю. Д. Моделирование межрегиональных миграционных потоков клеточными автоматами / Ю. Д. Шмидт, Н. В. Ивашина, Г. П. Озерова // Компьютерные исследования и моделирование. – 2020. – Т. 12, № 6. – С. 1467–1483. – DOI: 10.20537/2076-7633-2020-12-6-1467-1483.
Understanding the Effects of China’s Agro-Environmental Policies on Rural Households’ Labor and Land Allocation with a Spatially Explicit Agent-Based Model / Y. Wang, Q. Zhang, S. Sannigrahi [et al.] // Journal of Artificial Societies and Social Simulation. – 2021. – Vol. 24, Iss. 3. – DOI: 10.18564/jasss.4589.
Friege, J. Exploring Homeowners’ Insulation Activity / J. Friege, G. Holtz, É. J. L. Chappin // Journal of Artificial Societies and Social Simulation. – 2016. – Vol. 19, Iss. 1. – DOI: 10.18564/jasss.2941.
Moglia, M. An Agent-Based Model of Residential Energy Efficiency Adoption / M. Moglia, A. Podkalicka, J. McGregor // Journal of Artificial Societies and Social Simulation. – 2018. – Vol. 21, Iss. 3. – DOI: 10.18564/jasss.3729.
Identifying Personal and Social Drivers of Dietary Patterns: An Agent-Based Model of Dutch Consumer Behavior / N. Davis, B. Dermody, M. Koetse, G. van Voorn // Journal of Artificial Societies and Social Simulation. – 2024. – Vol. 27, Iss. 1. – DOI: 10.18564/jasss.5020.
Thron, C. Lifestyle Tradeoffs and the Decline of Societal Well-Being: An Agent-Based Model / C. Thron // Journal of Artificial Societies and Social Simulation. – 2016. – Vol. 19, Iss. 2. – DOI: 10.18564/jasss.3024.
Fischer, T. Can Redistribution by Means of a Progressive Labor Income-Taxation Transfer System Increase Financial Stability? / T. Fischer // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 2. – DOI: 10.18564/jasss.3405.
Conflicts Induced by Different Responses to Land Expropriation Among the Farmers Involved During Urbanization in China / H. Bao, X. Wu, H. Wang [et al.] // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 1. – DOI: 10.18564/jasss.3931.
Lindenberg, S. Social Rationality versus Rational Egoism / S. Lindenberg // Handbook of Sociological Theory / ed. J. H. Turner. – New York, 2001. – Ch. 29. – P. 635–668. – DOI: 10.1007/0-387-36274-6_29.
Lindenberg, S. Normative, Gain and Hedonic Goal Frames Guiding Environmental Behavior / S. Lindenberg, L. Steg // Journal of Social Issues. – 2007. – Vol. 63, Iss. 1. – P. 117–137. – DOI: 10.1111/j.1540-4560.2007.00499.x.
Gotts, N. M. Experiments with a Model of Domestic Energy Demand / N. M. Gotts, J. G. Polhill // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 3. – DOI: 10.18564/jasss.3467.
Schwartz Human Values and the Economic Performance / M. Czupryna, K. Growiec, B. Kamiński, P. Oleksy // Journal of Artificial Societies and Social Simulation. – 2024. – Vol. 27, Iss. 1. – DOI: 10.18564/jasss.5023.
D'Orazio, P. From Micro Behaviors to Macro Dynamics: An Agent-Based Economic Model with Consumer Credit / P. D'Orazio, G. Giulioni // Journal of Artificial Societies and Social Simulation. – 2017. – Vol. 20, Iss. 1. – DOI: 10.18564/jasss.3260.
An Agent-Based Approach to Integrated Assessment Modelling of Climate Change / M. Czupryna, C. Franzke, S. Hokamp, J. Scheffran // Journal of Artificial Societies and Social Simulation. – 2020. – Vol. 23, Iss. 3. – DOI: 10.18564/jasss.4325.
Contract Farming in the Mekong Delta's Rice Supply Chain: Insights from an Agent-Based Modeling Study / H. K. Nguyen, R. Chiong, M. Chica [et al.] // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 3. – DOI: 10.18564/jasss.4008.
Kowalski, L. Comparing Spatial-Interaction and Hybrid Agent-Based Modelling Approaches: An Application to Location Analysis of Services / L. Kowalski // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 1. – DOI: 10.18564/jasss.3899.
Zhang, S. GPLab: A Generative Agent-Based Framework for Policy Simulation and Evaluation / S. Zhang, Z. Peng, Y. Ren // Journal of Artificial Societies and Social Simulation. – 2026. – Vol. 29, Iss. 1. – DOI: 10.18564/jasss.5933.
Дершень, В. Концепции поведенческой экономики в маркетинге / В. Дершень, В. Пархименко // Наука и инновации. – 2022. – № 3. – С. 53–59. – DOI: 10.29235/1818-9857-2022-3-53-59.
Pasimeni, F. Community-Based Adoption and Diffusion of Micro-Grids: Analysis of the Italian Case with Agent-Based Model / F. Pasimeni // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 1. – DOI: 10.18564/jasss.3950.
Yun, T.-S. Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income / T.-S. Yun, I.-C. Moon // Journal of Artificial Societies and Social Simulation. – 2020. – Vol. 23, Iss. 4. – DOI: 10.18564/jasss.4410.
An Agent Based Model of a Thinly Traded Land Market in an Urbanizing Region / Y. Chen, E. Irwin, C. Jayaprakash, K. J. Park // Journal of Artificial Societies and Social Simulation. – 2021. – Vol. 24, Iss. 2. – DOI: 10.18564/jasss.4518.
Furtado, B. A. PolicySpace2: Modeling Markets and Endogenous Public Policies / B. A. Furtado // Journal of Artificial Societies and Social Simulation. – 2022. – Vol. 25, Iss. 1. – DOI: 10.18564/jasss.4742.
Wheaton, W. C. Vacancy, Search, and Prices in a Housing Market Matching Model / W. C. Wheaton // Journal of Political Economy. – 1990. – Vol. 98, No. 6. – P. 1270–1292.
Kant, J.-D. WorkSim: An Agent-Based Model of Labor Markets / J.-D. Kant, G. Ballot, O. Goudet // Journal of Artificial Societies and Social Simulation. – 2020. – Vol. 23, Iss. 4. – DOI: 10.18564/jasss.4396.
Calisti, R. Promoting Sustainable Food Consumption: An Agent-Based Model About Outcomes of Small Shop Openings / R. Calisti, P. Proietti, A. Marchini // Journal of Artificial Societies and Social Simulation. – 2019. – Vol. 22, Iss. 1. – DOI: 10.18564/jasss.3901.
Fonteijn, H. M. J. DARTS: Evolving Resilience of the Global Food System to Production and Trade Shocks / H. M. J. Fonteijn, P. A. J. van Oort, G. M. Hengeveld // Journal of Artificial Societies and Social Simulation. – 2024. – Vol. 27, Iss. 2. – DOI: 10.18564/jasss.5307.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The work is provided under the terms of Creative Commons public license Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). This license allows an unlimited number of persons to reproduce and share the Licensed Material in all media and formats. Any use of the Licensed Material shall contain an identification of its Creator(s) and must be for non-commercial purposes only. Users may not prevent other individuals from taking any actions allowed by the license.
