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政大機構典藏 > 社會科學學院 > 經濟學系 > 期刊論文 > Item 140.119/74889

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题名:	Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach
作者:	Chen, Shu-heng;Tai, Chung-Ching 陳樹衡
贡献者:	經濟系
关键词:	Agent-based methodology;Agent engineering;Computational intelligence;Computational equivalence;CE lab
日期:	2006
上传时间:	2015-04-28 14:29:13 (UTC+8)
摘要:	Agent-based Methodology (ABM) is becoming indispensable for the interdisciplinary study of social and economic complex adaptive systems. The essence of ABM lies in the notion of autonomous agents whose behavior may evolve endogenously and can generate and mimic the corresponding complex system dynamics that the ABM is studying. Over the past decade, many Computational Intelligence (CI) methods have been applied to the design of autonomous agents, in particular, their adaptive schemes. This design issue is non-trivial since the chosen adaptive schemes usually have a profound impact on the generated system dynamics. Robert Lucas, one of the most influential modern economic theorists, has suggested using laboratories with human agents, also known as Experimental Economics, to help solve the selection issue. While this is a promising approach, laboratories used in the current experimental economics are not computationally equipped to meet the demands of the selection task. This paper attempts to materialize Lucas’ suggestion by establishing a laboratory where human subjects are equipped with the computational power that satisfies the computational equivalence condition.
關聯:	Computational Economics , 28(4), 313-331
数据类型:	article
ISBN:	10.1007/s10614-006-9075-x
DOI 連結:	http://dx.doi.org/10.1007/s10614-006-9075-x
DOI:	10.1007/s10614-006-9075-x
显示于类别:	[經濟學系] 期刊論文

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