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TitleOn the Selection of Adaptive Algorithms in ABM:A Computational Equivalence Approach
Creator陳樹衡
Chen,Shu-Heng;TAI,CHUNG-CHING
Contributor政大經濟系
Key Wordsagent-based methodology;agent engineering;computational intelligence;computational
     equivalence;CE lab
Date2006-07
Date Issued24-Nov-2010 22:03:34 (UTC+8)
SummaryAgent-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.
RelationComputational Economics,28(1),51-69
Typearticle
DOI http://dx.doi.org/10.1007/s10614-006-9039-1
dc.contributor 政大經濟系-
dc.creator (作者) 陳樹衡zh_TW
dc.creator (作者) Chen,Shu-Heng;TAI,CHUNG-CHING-
dc.date (日期) 2006-07-
dc.date.accessioned 24-Nov-2010 22:03:34 (UTC+8)-
dc.date.available 24-Nov-2010 22:03:34 (UTC+8)-
dc.date.issued (上傳時間) 24-Nov-2010 22:03:34 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/48586-
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.language enen
dc.language.iso en_US-
dc.relation (關聯) Computational Economics,28(1),51-69en
dc.subject (關鍵詞) agent-based methodology;agent engineering;computational intelligence;computational
     equivalence;CE lab
-
dc.title (題名) On the Selection of Adaptive Algorithms in ABM:A Computational Equivalence Approachen
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1007/s10614-006-9039-1en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/s10614-006-9039-1en_US