Skip to main content

Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market

  • Conference paper
Advances in Artificial Life. Darwin Meets von Neumann (ECAL 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5778))

Included in the following conference series:

  • 1686 Accesses

Abstract

Is a competitive free market the most efficient way to equally allocate rare resources among economical agents ? Many economists tend to think it is the case. This paper presents a preliminary attempt through a very Alife like model to tackle this question. Agents which are alternatively producer, seller, buyer and consumer participate in a free market to increase their welfare. The simulation is organized and presented in a UML class diagram and two types of economy, competitive and distributive, are compared.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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.

References

  1. Palmer, R.G., Arthur, W.B., Holland, J.H., Le Baron, B., Taylor, P.: Artificial Economic Life: A Simple model of a stockmarket. Physica D 75, 264–274 (1994)

    Article  MATH  Google Scholar 

  2. Derveeuw, J.: Market dynamics and agent behaviors: a computational approach. Artificial Economics 564, 15–27 (2005)

    Article  MATH  Google Scholar 

  3. Bouchaud, J.-P., Mézard, M.: Wealth condensation in a simple model of economy. Physica A 282 (2000)

    Google Scholar 

  4. Derveeuw, J., Beaufils, B., Mathieu, P., Brandony, O.: Un modèle d’interaction réaliste pour la simulation de marchés financiers. In: Proceedings of the Quatrièmes Journées Francophones des modèles formels de l’interaction (2007)

    Google Scholar 

  5. Ball, P.: Critical Mass. How one thing leads to another, 1st edn. Farrar, Straus and Giroux, New York (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bersini, H. (2011). Agent-Based Toy Modeling for Comparing Distributive and Competitive Free Market. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21314-4_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21314-4_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21313-7

  • Online ISBN: 978-3-642-21314-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics