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    題名: Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
    作者: 陳樹衡;Tai, Chung-Ching
    貢獻者: 政治大學經濟系
    日期: 2009.03
    上傳時間: 2011-07-28 11:34:29 (UTC+8)
    摘要: In psychological as well as socioeconomic studies, individual intelligence has been found decisive in many domains. In this paper, we employ genetic programming as the algorithm of our learning agents who compete with other designed strategies extracted from the literature.We then discuss the possibility of using population size as a proxy parameter of individual intelligence of software agents. By modeling individual intelligence in this way, we demonstrate not only a nearly positive relation between individual intelligence and performance, but more interestingly the effect of decreasing marginal contribution of IQ to performance found in psychological literature.
    關聯: IEEE Symposium on Computational Intelligence for Financial Engineering
    資料類型: conference
    DOI 連結: http://dx.doi.org/10.1109/CIFER.2009.4937500
    DOI: 10.1109/CIFER.2009.4937500
    顯示於類別:[經濟學系] 會議論文

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