| dc.contributor | 政治大學經濟系 | en_US |
| dc.creator (作者) | 陳樹衡;Tai, Chung-Ching | zh_TW |
| dc.date (日期) | 2009.03 | en_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 Engineering | en_US |
| dc.title (題名) | Modeling Intelligence of Learning Agents in An Artificial Double Auction Market | en_US |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/CIFER.2009.4937500 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/CIFER.2009.4937500 | en_US |
