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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/75068

    Title: Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
    Authors: Chen, Shu-heng
    Contributors: 經濟系
    Date: 2000
    Issue Date: 2015-05-11 14:02:36 (UTC+8)
    Abstract: Using genetic programming, this paper proposes an agent- based computational modeling of double auction (DA) markets in the sense that a DA market is modeled as an evolving market of autonomous interacting traders (automated software agents). The specic DA market on which our modeling is based is the Santa Fe DA market ((12), (13)), which in structure, is a discrete-time version of the Arizona continuous- time experimental DA market ((14), (15)).
    Relation: Intelligent Data Engineering and Automated Learning - IDEAL , pp. 517-531
    Data Type: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/3-540-44491-2_76
    DOI: 10.1007/3-540-44491-2_76
    Appears in Collections:[經濟學系] 專書/專書篇章

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