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TitleModeling Intelligence of Learning Agents in An Artificial Double Auction Market
Creator陳樹衡;Tai, Chung-Ching
Contributor政治大學經濟系
Date2009.03
Date Issued28-Jul-2011 11:34:29 (UTC+8)
SummaryIn 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.
RelationIEEE Symposium on Computational Intelligence for Financial Engineering
Typeconference
DOI http://dx.doi.org/10.1109/CIFER.2009.4937500
dc.contributor 政治大學經濟系en_US
dc.creator (作者) 陳樹衡;Tai, Chung-Chingzh_TW
dc.date (日期) 2009.03en_US
dc.date.accessioned 28-Jul-2011 11:34:29 (UTC+8)-
dc.date.available 28-Jul-2011 11:34:29 (UTC+8)-
dc.date.issued (上傳時間) 28-Jul-2011 11:34:29 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/50669-
dc.description.abstract (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.-
dc.language.iso en_US-
dc.relation (關聯) IEEE Symposium on Computational Intelligence for Financial Engineeringen_US
dc.title (題名) Modeling Intelligence of Learning Agents in An Artificial Double Auction Marketen_US
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/CIFER.2009.4937500en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1109/CIFER.2009.4937500en_US