IDEAS home Printed from https://ideas.repec.org/a/igg/jiit00/v11y2015i1p52-71.html
   My bibliography  Save this article

A Brownian Agent Model for Analyzing Changes in a Nation's Product Space Structure

Author

Listed:
  • Bin Jiang

    (College of Computer Science and Electronic Engineering, Hunan University, Changsha, China & Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan)

  • Chao Yang

    (Business School, Hunan University, Changsha, China & Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan)

  • Takashi Yamada

    (Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan)

  • Takao Terano

    (Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan)

Abstract

This paper proposes a Brownian agent model for simulating and analyzing changes in a nation's product space structure. A measurement of proximity has been employed to quantify a relationship between two products and proved to be useful in product space analysis. This study employs such proximity measurement, and estimates a continued structure transformation of a nation's product space through feedback between agent movements and network evolutions. Labor resources of an enterprise or a firm are regarded as Brownian agents; they move through different product spaces for higher economic rewards. The simulation results show that trade areas were self-organized through Brownian agent migration and cooperative production with a random initial distribution. Furthermore, we have verified the applicability and efficiency of the model in analyzing changes in Chinese product space structure with empirical data. Main contributions of this paper are: 1) it provides a bottom-up model for analyzing changes of a nation's product space structure; and 2) it also provides both qualitative and quantitative analysis methods for a nation's product space structure.

Suggested Citation

  • Bin Jiang & Chao Yang & Takashi Yamada & Takao Terano, 2015. "A Brownian Agent Model for Analyzing Changes in a Nation's Product Space Structure," International Journal of Intelligent Information Technologies (IJIIT), IGI Global, vol. 11(1), pages 52-71, January.
    • Handle: RePEc:igg:jiit00:v:11:y:2015:i:1:p:52-71
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijiit.2015010104
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jiit00:v:11:y:2015:i:1:p:52-71. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.