Skip to main content
Log in

Wealth adjustment using a no-interest credit network in an artificial society

  • Open Forum
  • Published:
AI & SOCIETY Aims and scope Submit manuscript

Abstract

This paper discusses the possibility of wealth adjustment through a credit network. The discussed credit network in this paper is a kind of loaning with no interest rate (its value is zero). It explains the influence of existence or inexistence of a cooperation originated from the credit network on wealth distribution and adjustment in an artificial society. To show how the wealth may distribute, environment agents in terms of their obtained wealth have been classified into ten wealth categories; thus, the share of each category in terms of population has been determined. In addition, the survival of population in the environment has been studied. Findings and results show more balanced distribution of agents among the categories of wealth and higher survival of the population in the existence of the credit network. More over, the curve of population has fewer fluctuations. In other words, the population is more stable due to the ability of credit network in making more survival and stability in the population of environment in periods of time by providing the possibility of cooperation and wealth better distribution.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. Netlogo software can be downloaded from http://ccl.northwestern.edu/netlogo/download.shtml.

  2. Model of Lain Weaver can be downloaded from http://ccl.northwestern.edu/netlogo/models/community/Sugarscape.

References

  • Bar-Yam Y (1997) Dynamics of complex systems. New England Complex Systems Institute, Cambridge, MA

    MATH  Google Scholar 

  • Buzzing PC (2003) VUSCAPE: communication and cooperation in evolving artificial societies, master’s thesis. Artificial Intelligence Department of Computer Science, Faculty of Sciences, Vrije University, Amsterdam, The Netherlands

  • Buzzing PC, Eiben AE, Schut M (2005) MC emerging communication and cooperation in evolving agent societies. J Artif Soc Soc Simul 8(1). http://jasss.soc.surrey.ac.uk/8/1/2.html

  • Densmore O (2011) Sugarscape (2003 NetLogo community model). http://ccl.northwestern.edu/netlogo/models/community

  • Epstein JM, Axtell R (1996) Growing artificial societies: social science from the bottom up. Brookings Institution Press, Washington DC

    Google Scholar 

  • Hales D (2001) Tag based co-operation in artificial societies, PhD thesis. Department of Computer Science, University of Essex, Colchester, Essex

  • NetLogo Group (2011) NetLogo Software 4.0.4. Center for Connected Learning and Computer-Based Modeling. Northwestern University, Evanston/Chicago, IL, Released

  • Pfeifer R, Kunz H, Weber MM, Thomas D (2001) Artificial life. Institute for Informatik, Zurich University, Zurich

    Google Scholar 

  • Rahman A (2011) Application of artificial societies in analysis of social dynamic phenomena and complex processes. Iranian J Soc Res (in press)

  • Rahman A, Setayeshi S (Nov 2006) Designing health development model in an artificial society through optimizing of disease distribution model between population. In: Proceedings of the international conference on telemedicine and e-health. Shahid Beheshti University of Medical Science and Health Services, Tehran

  • Rahman A, Setayeshi S (2007a) Evolution of social behavior in artificial society. In: Proceedings of the12th international CSI computer conference. Shahid Beheshti University, Faculty of Electrical and Computer Engineering, Tehran

  • Rahman A, Setayeshi S (2007b) The role of wealth distribution, inheritance and population control in social welfare: simulation of social welfare in artificial society. J Soc Welf 26:183–200

    Google Scholar 

  • Rahman A, Setayeshi S (2007c) Modeling of health destruction arising from spreading pollution. In: Proceedings of the 15th Iranian conference on electrical & computer engineering (ICEE 2007). Iran Telecom Research Center, Tehran

  • Rahman A, Setayeshi S (2008) Sugarscape model as a dynamic approach in analysis and optimization of social and economic complex systems. In: Proceeding of 2nd joint congress on fuzzy and intelligent systems. Malek Ashtar University of Technology, Tehran

  • Rahman A, Setayeshi S (2010) Artificial life. Roudehn Branch, Publication of Islamic Azad University, Roudehen

    Google Scholar 

  • Rahman A, Setayeshi S (in press) Complex systems analysis in artificial life based on sugarscape model. CSI J Comp Sci Eng (JCSE), Computer Society of Iran, Tehran

  • Rahman A, Setayeshi S, Shamsaei M (2007) An analysis to wealth distribution based on Sugarscape model in an artificial society. Int J Eng 20(3):211–224

    Google Scholar 

  • Rahman A, Setayeshi S, Shamsaei M (2008a) Health Monitoring in Artificial Life In the field of Contagious Diseases and Pollution. J Health Adm 11(31):27–38

    Google Scholar 

  • Rahman A, Setayeshi S, Shamsaei M (2008b) Optimization in complex systems using CA based Sugarscape method in artificial society. PhD thesis. Science and Research Branch, Islamic Azad University, Tehran

  • Rahman A, Setayeshi S, and Shamsaei M (2009a) Wealth adjustment in an artificial society, based on a Sugarscape model using one fifth of the wealth variable. Iran J Electr Comput Eng Iranian Research Institute for Electrical Engineering 8(1):35–40

    Google Scholar 

  • Rahman A, Setayeshi S, Shamsaei M (2009b) Wealth adjustment using a synergy between communication, cooperation, and one-fifth of wealth variables in an artificial society. Int J Artif Intell Soc 24(2):151–164

    Google Scholar 

  • Researchers of Leicester University (2009) The Sugarscape. The Center for Multidisciplinary Science. University of Leicester, http://www2.le.ac.uk/departments/interdisciplinary-science/research/the-sugarscape

  • Toma T (2003) Communication in artificial society—effects of different communication protocols in an artificial environment. Master’s thesis. Artificial Intelligence Department of Computer Science, Faculty of Sciences, Vrije University, Amsterdam, The Netherlands

  • Weaver L (2009) Sugarscape. NetLogo user community model. http://ccl.northwestern.edu/netlogo/models/community/Sugarscape

Download references

Acknowledgments

This research is supported by Roudehen branch of Islamic Azad University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Arash Rahman.

Appendix: Table of the experiments

Appendix: Table of the experiments

See Tables 2 and 3.

Table 2 Parameter values for experiment A
Table 3 Parameter values for experiment B

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rahman, A. Wealth adjustment using a no-interest credit network in an artificial society. AI & Soc 27, 535–541 (2012). https://doi.org/10.1007/s00146-011-0365-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00146-011-0365-z

Keywords

Navigation