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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/50617

    Title: Agents Learned, but Do We? Knowledge Discovery Using the Agent-Based Double Auction Markets
    Authors: CHEN,Shu-Heng;Tina Yu
    Contributors: 政治大學經濟系
    Keywords: agent-based double auction markets;autonomous agents;genetic programming;bargaining strategies;monopsony;procrastination strategy
    Date: 2011
    Issue Date: 2011-07-28 10:36:17 (UTC+8)
    Abstract: This paper demonstrates the potential role
    of autonomous agents in economic theory. We first dispatch
    autonomous agents, built by genetic programming,
    to double auction markets.We then study the bargaining
    strategies, discovered by them, and from there,
    an autonomous-agent-inspired economic theory with regard
    to the optimal procrastination is derived.
    Relation: Frontiers of Electrical and Electronic Engineering, 6(1), 159-170
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/s11460-011-0132-4
    DOI: 10.1007/s11460-011-0132-4
    Appears in Collections:[經濟學系] 期刊論文

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