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題名 Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach
作者 Chen, Shu-heng;Tai, Chung-Ching
陳樹衡
貢獻者 經濟系
關鍵詞 Agent-based methodology; Agent engineering; Computational intelligence; Computational equivalence; CE lab
日期 2006
上傳時間 28-Apr-2015 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
資料類型 article
ISBN 10.1007/s10614-006-9075-x
DOI http://dx.doi.org/10.1007/s10614-006-9075-x
dc.contributor 經濟系
dc.creator (作者) Chen, Shu-heng;Tai, Chung-Ching
dc.creator (作者) 陳樹衡zh_TW
dc.date (日期) 2006
dc.date.accessioned 28-Apr-2015 14:29:13 (UTC+8)-
dc.date.available 28-Apr-2015 14:29:13 (UTC+8)-
dc.date.issued (上傳時間) 28-Apr-2015 14:29:13 (UTC+8)-
dc.identifier.isbn (ISBN) 10.1007/s10614-006-9075-x
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/74889-
dc.description.abstract (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.
dc.format.extent 1536689 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Computational Economics , 28(4), 313-331
dc.subject (關鍵詞) Agent-based methodology; Agent engineering; Computational intelligence; Computational equivalence; CE lab
dc.title (題名) Republication: On the Selection of Adaptive Algorithms in ABM: A Computational-Equivalence Approach
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s10614-006-9075-xen_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s10614-006-9075-xen_US