English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 91913/122132 (75%)
Visitors : 25762425      Online Users : 286
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/64756


    Title: Modeling Social Heterogeneity with Genetic Programming in an Artificial Double Auction Market
    Authors: 陳樹衡
    Chen, Shu-Heng;Tai, Chung-Ching
    Contributors: 經濟系
    Date: 2009
    Issue Date: 2014-03-20 17:07:57 (UTC+8)
    Abstract: 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.
    Relation: Genetic Programming Lecture Notes in Computer Science Volume 5481, 2009, pp 171-182
    European Conference on Genetic Programming - EuroGP , pp. 171-182
    Data Type: 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
    Appears in Collections:[經濟學系] 專書/專書篇章

    Files in This Item:

    File Description SizeFormat
    171182.pdf298KbAdobe PDF733View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback