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政大機構典藏 > 社會科學學院 > 經濟學系 > 專書/專書篇章 > Item 140.119/75068

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75068

Title:	Toward an Agent-Based Computational Modeling of Bargaining Strategies in Double Auction Markets with Genetic Programming
Authors:	Chen, Shu-heng 陳樹衡
Contributors:	經濟系
Date:	2000
Issue Date:	2015-05-11 14:02:36 (UTC+8)
Abstract:	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)).
Relation:	Intelligent Data Engineering and Automated Learning - IDEAL , pp. 517-531
Data Type:	book/chapter
DOI 連結:	http://dx.doi.org/10.1007/3-540-44491-2_76
DOI:	10.1007/3-540-44491-2_76
Appears in Collections:	[經濟學系] 專書/專書篇章

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