| dc.contributor | 經濟系 | |
| dc.creator (作者) | Chen, Shu-heng | |
| dc.creator (作者) | 陳樹衡 | zh_TW |
| dc.date (日期) | 2000 | |
| dc.date.accessioned | 11-May-2015 14:02:36 (UTC+8) | - |
| dc.date.available | 11-May-2015 14:02:36 (UTC+8) | - |
| dc.date.issued (上傳時間) | 11-May-2015 14:02:36 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75068 | - |
| dc.description.abstract (摘要) | Using genetic programming, this paper proposes an agent- based computational modeling of double auction (DA) markets in the sense that a DA market is modeled as an evolving market of autonomous interacting traders (automated software agents). The specic DA market on which our modeling is based is the Santa Fe DA market ((12), (13)), which in structure, is a discrete-time version of the Arizona continuous- time experimental DA market ((14), (15)). | |
| dc.format.extent | 640448 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Intelligent Data Engineering and Automated Learning - IDEAL , pp. 517-531 | |
| dc.title (題名) | Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming | |
| dc.type (資料類型) | book/chapter | en |
| dc.identifier.doi (DOI) | 10.1007/3-540-44491-2_76 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/3-540-44491-2_76 | |
