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題名 Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
作者 Chen, Shu-heng
陳樹衡
貢獻者 經濟系
日期 2000
上傳時間 11-May-2015 14:02:36 (UTC+8)
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)).
關聯 Intelligent Data Engineering and Automated Learning - IDEAL , pp. 517-531
資料類型 book/chapter
DOI http://dx.doi.org/10.1007/3-540-44491-2_76
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/chapteren
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