Development of U-Mart System with Plural Brands and Plural Markets

  • AKIMOTO Yoshihito
    Graduate School of Engineering, Osaka Prefecture University
  • MORI Naoki
    Graduate School of Engineering, Osaka Prefecture University
  • ONO Isao
    Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology
  • NAKAJIMA Yoshihiro
    Graduate School of Economics, Osaka City University
  • KITA Hajime
    Academic Center for Computing and Media Studies, Kyoto University
  • MATSUMOTO Keinosuke
    Graduate School of Engineering, Osaka Prefecture University

Bibliographic Information

Other Title
  • 複数銘柄および複数市場に対応したU-Martシステムの開発
  • フクスウ メイガラ オヨビ フクスウ シジョウ ニ タイオウ シタ U-Mart システム ノ カイハツ

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Abstract

In this paper, we first discuss the notion that artificial market systems should meet the requirements of fidelity, transparency, reproducibility, and traceability. Next, we introduce history of development of the artificial market system named U-Mart system that meet the requirements well, which have been developed by the U-Mart project. We have already developed the U-Mart system called “U-Mart system version 3.0” to solve problems of old U-Mart systems. In version 3.0 system, trading process is modularized and universal market system can be easily introduced.<br/>However, U-Mart system version 3.0 only simulates the single brand futures market. The simulation of the plural brands and plural markets has been required by lot of users. In this paper, we proposed a novel U-Mart system called “U-Mart system version 4.0” to solve this problem of U-Mart system version 3.0. We improve the server system, machine agents and GUI in order to simulate plural brands and plural markets in U-Mart system version 4.0. The effectiveness of the proposed system is confirmed by statistical analysis of results of spot market simulation with random agents.

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Details

  • CRID
    1390282679481571328
  • NII Article ID
    10030165536
  • NII Book ID
    AN00072392
  • DOI
    10.9746/sicetr.47.541
  • ISSN
    18838189
    04534654
  • NDL BIB ID
    023446349
  • Text Lang
    en
  • Data Source
    • JaLC
    • NDL
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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