Skip to main content
SpringerLink
Log in

Agent-Based Social Simulation to Investigate the Occurrence of Pareto Principal in Human Society

  • Conference paper
Computer and Information Science

Part of the book series: Studies in Computational Intelligence ((SCI,volume 493))

  • 1132 Accesses

Abstract

Agent-based simulation is getting more attention in recent days to investigate the social phenomena. This research focused on Pareto principal, which is widely known in the field of Economics. Our motivation is to investigate the reason of why the Pareto principal exists in the human society. We proposed a model for human-agent and conduct simulation. Our simulation result converges to Pareto principal that justifies the effectiveness of our proposed human agent model. Based on the simulation result we found that due to some factors in human character Pareto principal occurred in human society.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Axelrod, R.: Advancing the art of simulation in the social sciences. Complex 3(2), 16–22 (1997)

    Article  MathSciNet  Google Scholar 

  2. Epstein, J.M., Axtell, R.L.: Growing Artificial Societies: Social Science from the Bottom Up, 1st edn. MIT Press (1996)

    Google Scholar 

  3. Bonabeau, E.: Agent-based modeling: Methods and techniques for simulating human systems. PANS 99(3), 7280–7287 (2002)

    Article  Google Scholar 

  4. Human Development Report 1992. UNDP. Oxford university Press (1992)

    Google Scholar 

  5. http://www-935.ibm.com/services/us/ceo/ceostudy2010/index.html (last accessed: January 30, 2012)

Download references

Author information

Authors and Affiliations

  1. Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo, Japan

    Khan Md Mahfuzus Salam, Takadama Keiki & Nishio Tetsuro

Authors
  1. Khan Md Mahfuzus Salam
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Takadama Keiki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nishio Tetsuro
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Khan Md Mahfuzus Salam .

Editor information

Editors and Affiliations

  1. , Software Engineering & Information, Central Michigan University, Mt. Pleasant, 48859, Michigan, USA

    Roger Lee

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this paper

Cite this paper

Salam, K.M.M., Keiki, T., Tetsuro, N. (2013). Agent-Based Social Simulation to Investigate the Occurrence of Pareto Principal in Human Society. In: Lee, R. (eds) Computer and Information Science. Studies in Computational Intelligence, vol 493. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00804-2_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-00804-2_19

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-00803-5

  • Online ISBN: 978-3-319-00804-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation