エージェントベースアプローチによる移動環境下における相対取引の特性の解析(<論文特集>「エコノフィジックス」)  [in Japanese] An Analysis of Bilateral Trading in Mobile Environment using Agent Based Simulation(<Special Future>Econophysics)  [in Japanese]

Abstract

Bilateral trading is a business of buying or selling commodities between two persons or groups. Bilateral trading is gaining importance with the growing rate of Internet, especially in distributed computing such as peer to peer computing and mobile agent technology. However, its value is underestimated compared with market trading. In this paper, we analyze the characteristic traits of bilateral trading under mobile society using Agent Based Approach. Agent Based Approach is one of the the powerful and general methodology for studying highly heterogeneous populations. In agent based approach, we grow the collective behaviors from bottom-up. Our model consists of environment and agents. Environment is a spatial distribution of commodities that agents must get to survive. Agents can obtain commodities by harvesting or trading. The purpose of the agents is to maximize their utilities. Compared with market trading, the efficiency of bilateral trading is investigated. Through the computer simulation, we confirm that introducing the ability of strategic manipulation has an large effect on bilateral trading. In such cases, utility of the whole society with bilateral trading is greater than that of the whole society with market trading.

Journal

Journal of the Japan Society for Simulation Technology   [List of Volumes]

Journal of the Japan Society for Simulation Technology 21(2), 162-168, 2002-06-15  [Table of Contents]

Japan Society for Simmulation Technology

References:  21

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Cited by:  1

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Codes

  • NII Article ID (NAID) :
    110003945864
  • NII NACSIS-CAT ID (NCID) :
    AN00329524
  • Text Lang :
    JPN
  • Article Type :
    Journal Article
  • ISSN :
    02859947
  • NDL Article ID :
    6214037
  • NDL Source Classification :
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No. :
    Z14-893
  • Databases :
    CJP  CJPref  NDL  NII-ELS