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    题名: On the Selection of Adaptive Algorithms in ABM：A Computational Equivalence Approach
    作者: 陳樹衡
    Chen,Shu-Heng;TAI,CHUNG-CHING
    贡献者: 政大經濟系
    关键词: agent-based methodology;agent engineering;computational intelligence;computational equivalence;CE lab
    日期: 2006-07
    上传时间: 2010-11-24 22:03:34 (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(1),51-69
    数据类型: article
    DOI 連結: http://dx.doi.org/10.1007/s10614-006-9039-1
    DOI: 10.1007/s10614-006-9039-1
    显示于类别:[經濟學系] 期刊論文

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