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    题名: Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market
    作者: 陳樹衡
    Chen, Shu-Heng;Tai, Chung-Ching
    贡献者: 經濟系
    日期: 2009
    上传时间: 2014-03-20 17:07:57 (UTC+8)
    摘要: Individual differences in intellectual abilities can be observed across time and everywhere in the world, and this fact has been well studied by psychologists for a long time. To capture the innate heterogeneity of human intellectual abilities, this paper employs genetic programming as the algorithm of the learning agents, and then proposes the possibility of using population size as a proxy parameter of individual intelligence. 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: Genetic Programming Lecture Notes in Computer Science Volume 5481, 2009, pp 171-182
    European Conference on Genetic Programming - EuroGP , pp. 171-182
    数据类型: book/chapter
    DOI 連結: http://dx.doi.org/10.1007/978-3-642-01181-8_15
    DOI: 10.1007/978-3-642-01181-8_15
    显示于类别:[經濟學系] 專書/專書篇章

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