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| Title | On 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 Words | agent-based methodology;agent engineering;computational intelligence;computational equivalence;CE lab |
| Date | 2006-07 |
| Date Issued | 24-Nov-2010 22:03:34 (UTC+8) |
| Summary | 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. |
| Relation | Computational Economics,28(1),51-69 |
| Type | article |
| 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 | en | en |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Computational Economics,28(1),51-69 | en |
| 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 Approach | en |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/s10614-006-9039-1 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s10614-006-9039-1 | en_US |