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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/50669


    Title: Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
    Authors: 陳樹衡;Tai, Chung-Ching
    Contributors: 政治大學經濟系
    Date: 2009.03
    Issue Date: 2011-07-28 11:34:29 (UTC+8)
    Abstract: 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.
    Relation: IEEE Symposium on Computational Intelligence for Financial Engineering
    Data Type: conference
    DOI link: http://dx.doi.org/10.1109/CIFER.2009.4937500
    DOI: 10.1109/CIFER.2009.4937500
    Appears in Collections:[Department of Economics] Proceedings

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