Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.


Download file Download BibTeX


Morality, protection, security and gain: lessons from a minimalistic, economically inspired multi-agent model


[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication


Published in

Foundations of Computing and Decision Sciences

Journal year: 2020 | Journal volume: vol. 45 | Journal number: no. 1

Article type

scientific article

Publication language


  • morality
  • social norm
  • equilibrium
  • mathematical modeling
  • simulation

EN In this work, we introduce a simple multi-agent simulation model with two roles of agents that correspond to moral and immoral attitudes. The model is given explicitly by a set of mathematical equations with continuous variables and is characterized by four parameters: morality, protection, and two efficiency parameters. Agents are free to adjust their roles to maximize individual gains. The model is analyzed theoretically to find conditions for its stability, i.e., the fractions of agents of both roles that lead to an equilibrium in their gains. A multi-agent simulation is also developed to verify the dynamics of the model for all values of morality and protection parameters, and to identify potential discrepancies with the theoretical analysis.

Date of online publication


Pages (from - to)

17 - 33




License type

CC BY-NC-ND (attribution - noncommercial - no derivatives)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Full text of article

Download file

Access level to full text


Ministry points / journal


Ministry points / journal in years 2017-2021


This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.