| 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) | https://ah.lib.nccu.edu.tw/item?item_id=55803 | - |
| dc.description.abstract (摘要) | Agent-based Methodology (ABM) is becoming indispensable for the interdisciplinary\r\nstudy of social and economic complex adaptive systems. The essence of ABM lies in the notion\r\nof autonomous agents whose behavior may evolve endogenously and can generate and mimic the\r\ncorresponding complex system dynamics that the ABM is studying. Over the past decade, many\r\nComputational Intelligence (CI) methods have been applied to the design of autonomous agents, in\r\nparticular, their adaptive schemes. This design issue is non-trivial since the chosen adaptive schemes\r\nusually have a profound impact on the generated system dynamics. Robert Lucas, one of the most\r\ninfluential modern economic theorists, has suggested using laboratories with human agents, also\r\nknown as Experimental Economics, to help solve the selection issue. While this is a promising\r\napproach, laboratories used in the current experimental economics are not computationally equipped\r\nto meet the demands of the selection task. This paper attempts to materialize Lucas’ suggestion\r\nby establishing a laboratory where human subjects are equipped with the computational power that\r\nsatisfies 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\r\nequivalence;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 |
