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題名 Toward a New Principle of Agent Engineering in Multiagent Systems: Computational Equivalence
作者 陳樹衡
Chen,Shu-Heng
貢獻者 經濟系
日期 2004
上傳時間 14-Aug-2014 11:47:41 (UTC+8)
摘要 Agent-based Methodology (ABM) is becoming indispensable for the inter-disciplinary 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 scheme. This design issue is non-trivial since the chosen adaptive schemes usually have great 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 solving the design issue. While this is a promising approach, laboratories used in the current experimental economics is not computationally equipped to meet the demands of the 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 conditions.
關聯 Multi-Agent for Mass User Support, Lecture Notes in Artificial Intelligence 3012. 2004, pp 18-32
資料類型 book/chapter
DOI http://dx.doi.org/10.1007/978-3-540-24666-4_2
dc.contributor 經濟系en_US
dc.creator (作者) 陳樹衡zh_TW
dc.creator (作者) Chen,Shu-Hengen_US
dc.date (日期) 2004en_US
dc.date.accessioned 14-Aug-2014 11:47:41 (UTC+8)-
dc.date.available 14-Aug-2014 11:47:41 (UTC+8)-
dc.date.issued (上傳時間) 14-Aug-2014 11:47:41 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/68717-
dc.description.abstract (摘要) Agent-based Methodology (ABM) is becoming indispensable for the inter-disciplinary 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 scheme. This design issue is non-trivial since the chosen adaptive schemes usually have great 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 solving the design issue. While this is a promising approach, laboratories used in the current experimental economics is not computationally equipped to meet the demands of the 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 conditions.en_US
dc.format.extent 874957 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Multi-Agent for Mass User Support, Lecture Notes in Artificial Intelligence 3012. 2004, pp 18-32en_US
dc.title (題名) Toward a New Principle of Agent Engineering in Multiagent Systems: Computational Equivalenceen_US
dc.type (資料類型) book/chapteren
dc.identifier.doi (DOI) 10.1007/978-3-540-24666-4_2-
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-540-24666-4_2-