Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Studying Simulated Mobs Using Monte Carlo Method and the Theory of Collective Action Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Behavioral Model of Interaction Between Economic Agents and the Institutional Environment

Authors : George Kleiner, Maxim Rybachuk, Dmitry Ushakov

Published in: Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies

Publisher: Springer Nature Switzerland

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This article creates and analyzes an agent-based simulation model that reflects the interaction between economic agents and the institutional environment surrounding them. Special attention is paid to changing the agents’ mentality under the influence of the institutional structure of society and the transformation of the institutional environment under the influence of agents’ mental values. Computational experiments are carried out with the model, and the possibilities of achieving equilibrium by the system are calculated depending on the minimum labor productivity in society. An equilibrium state of the system is one in which the agents’ mentality and public institutions are in harmony and do not contradict each other. It has been revealed that agents’ mentality significantly influences their attitude to public institutions and their behavior in situations of economic choice. It has been established that the higher the labor productivity of agents and the more developed and prosperous the society is, the faster the system goes into harmony.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter A Cognitive Simulation Model of a Regional Higher Education System
next chapter Attitudes to Vaccination: How the Opinion Dynamics Affects the Influenza Epidemic Process
Literature
1.
Thaler, R.H.: From homo economicus to homo sapiens. J. Econ. Perspect. 14(1), 133–141 (2000)CrossRef
2.
Kapeliushnikov, R.I.: Who is homo oeconomicus? Ekonomicheskaya Politika 15(1), 8–39 (2020). (In Russian)
3.
4.
Belianin, A.V.: Homo Oeconomicus and Homo Postoeconomicus. Zhournal Novoi Ekonomicheskoi Associacii 33(1), 157–161 (2017). (in Russian)
5.
Taffler, R.J., Spence, C., Eshraghi, A.: Emotional economic man: Calculation and anxiety in fund management. Acc. Organ. Soc. 61, 53–67 (2017)CrossRef
6.
Urbina, D.A., Ruiz‐Villaverde A.: A critical review of homo economicus from five approaches. Am. J. Econ. Soc. 78(1), 63–93 (2019)
7.
Kahneman, D.: Maps of bounded rationality: psychology for behavioral economics. Am. Econ. Rev. 93(5), 1449–1475 (2003)CrossRef
8.
Newell, B.R., Lagnado, D.A., Shanks, D.R.: Straight Choices: The Psychology of Decision Making, p. 318. Psychology Press (2015)
9.
Schiliro, D.: Economics and psychology. The framing of decisions. J. Math. Econ. Financ. II(2(3)), 77–88 (2016)
10.
11.
Kleiner, G.B., Rybachuk, M.A., Ushakov, D.V.: Psychological factors of economic behavior: a systemic view. Terra Economicus 16(1), 20–37 (2018). (in Russian)
12.
13.
Koch, J., Eisend, M., Petermann, A.: Path dependence in decision-making processes: exploring the impact of complexity under increasing returns. BuR Bus. Res. J. 2(1) (2009)
14.
Bednar, J., Page, S.E.: When order affects performance: culture, behavioral spillovers, and institutional path dependence. Am. Polit. Sci. Rev. 112(1), 82–98 (2018)CrossRef
15.
Bednar, J., Jones-Rooy, A., Page, S.E.: Choosing a future based on the past: institutions, behavior, and path dependence. Eur. J. Polit. Econ. 40, 312–332 (2015)
16.
Zhuravlev, A.L., Ushakov D.V., Yurevich, A.V.: Prospects of psychology on Russian society problems’ solving. Part III. Interaction between social institutes and mentality: the ways of optimization. Psikhologicheskii Zhurnal 34(6), 5–25 (2013). (in Russian)
17.
Zhuravlev, A.L., Ushakov, D.V., Yurevich, A.V.: Mentality, society and “homo psychosocialis” (response to the participants of the discussion). Psikhologicheskii Zhurnal 38(1), 107–112 (2017). (in Russian)
18.
Ushakov, D.V.: Mentality and the socioeconomic achievements of countries. Her. Russ. Acad. Sci. 90(2), 142–148 (2020)CrossRef
19.
Taleb, N.N.: Antifragile: Things that Gain from Disorder, p. 521. Random House, New York (2012)
20.
Markey-Towler, B.: antifragility, the black swan and psychology. Evol. Inst. Econ. Rev. 15(2), 367–384 (2018)
21.
de Bruijn, H., Größler, A., Videira, N.: Antifragility as a design criterion for modelling dynamic systems. Syst. Res. Behav. Sci. 37(1), 23–37 (2020)CrossRef
22.
Von Neumann, J.: A model of general economic equilibrium. In: Readings in the Theory of Growth, pp. 1–9. Palgrave Macmillan, London (1971)
23.
Arrow, K.J.: General economic equilibrium: purpose, analytic techniques, collective choice. Am. Econ. Rev. 64(3), 253–272 (1974)
24.
Hicks, J.: IS-LM: an explanation. J. Post Keynesian Econ. 3(2), 139–154 (1980)CrossRef
25.
King, R.G.: The new IS-LM model: language, logic, and limits. FRB Richmond Econ. Q. 86(3), 45–104 (2000)
26.
Wilkin, J.: Institutional equilibrium. What is it about and what is its role in the economy? Ekonomia15, 26–37 (2011)
27.
Shepsle, K.A.: Institutional arrangements and equilibrium in multidimensional voting models. Am. J. Polit. Sci. 23(1), 27–59 (1979)CrossRef
28.
Shepsle, K.A.: Institutional equilibrium and equilibrium institutions. In: Weisberg, H. (ed.) Political Science: The Science of Politics, pp. 51–82. Agathon, New York (1986)
29.
Ross, S.A.: Institutional markets, financial marketing, and financial innovation. J. Financ. 44(3), 541–556 (1989)CrossRef
30.
Akopov, A.S., Beklaryan, L.A., Saghatelyan, A.K.: Agent-based modelling of interactions between air pollutants and greenery using a case study of Yerevan, Armenia. Environ. Model. Softw. 116, 7–25 (2019)CrossRef
31.
Jackson, J.C., Rand, D., Lewis, K., Norton, M.I., Gray, K.: Agent-based modeling: a guide for social psychologists. Soc. Psychol. Personal. Sci. 8(4), 387–395 (2017)CrossRef
32.
Yin, X., Wang, H., Yin, P., Zhu, H.: Agent-based opinion formation modeling in social network: a perspective of social psychology. Physica A 532, 121786 (2019)CrossRefMATH
33.
Chiacchio, F., Pennisi, M., Russo, G., Motta, S., Pappalardo, F:. Agent-based modeling of the immune system: NetLogo, a promising framework. BioMed Res. Int. 2014, 907171 (2014)
34.
Wilensky, U., Rand, W.: An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo, p. 504. The MIT Press, Cambridge. London (2015)
35.
Carbo, J., Sanchez-Pi, N., Molina, J.M.: Agent-based simulation with NetLogo to evaluate ambient intelligence scenarios. J. Simul. 12(1), 42–52 (2018)CrossRef
36.
Jaxa-Rozen, M., Kwakkel, J.H., Bloemendal, M.: A coupled simulation architecture for agent-based/geohydrological modelling with NetLogo and MODFLOW. Environ. Model. Softw. 115, 19–37 (2019)CrossRef
37.
Sulis, E., Tambuscio, M.: Simulation of misinformation spreading processes in social networks: an application with NetLogo. In: IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA), pp. 614–618. IEEE (2020)
38.
Kleiner, G.B., Rybachuk, M.A., Ushakov, D.V.: Agent-oriented model of professional expertise and decision making on individual public significant initiatives support. Terra Economicus 17(2), 23–39 (2019). (in Russian)
39.
Thiele, J.C.: R marries NetLogo: introduction to the RNetLogo package. J. Stat. Softw. 58(2), 1–41 (2014)CrossRef
40.
Thiele, J.C., Kurth, W., Grimm, V.: RNetLogo: an R package for running and exploring individual-based models implemented in NetLogo. Methods Ecol. Evol. 3(3), 480–483 (2012)CrossRef
41.
Salecker, J., Sciaini, M., Meyer, K.M., Wiegand, K.: The nlrx r package: a next-generation framework for reproducible NetLogo model analyses. Methods Ecol. Evol. 10(11), 1854–1863 (2019)CrossRef
42.
Kleiner, G.B., Rybachuk, M.A., Ushakov, D.V.: The mentality of economic agents and institutional change: in search of an equilibrium model. Terra Economicus 19(4), 6–20 (2021)CrossRef
43.
Tiebout, C.M.: A pure theory of local expenditures. J. Polit. Econ. 64(5), 416–424 (1956)CrossRef
Metadata
Title
Behavioral Model of Interaction Between Economic Agents and the Institutional Environment
Authors
George Kleiner
Maxim Rybachuk
Dmitry Ushakov
Copyright Year
2023
Book
Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies

Print ISBN: 978-3-031-33727-7

Electronic ISBN: 978-3-031-33728-4

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-33728-4_4

Premium Partner

    Image Credits