學術產出-Books & Chapters in Books

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Does Cognitive Capacity Matter when Learning Using Genetic Programming in Double Auction Markets?
作者 陳樹衡
Chen, Shu-Heng ; Tai, Chung-Ching ; Wang, Shu G.
貢獻者 經濟系
日期 2010
上傳時間 20-Mar-2014 16:57:15 (UTC+8)
摘要 The relationship between human subjects’ cognitive capacity and their economic performances has been noticed in recent years due to the evidence found in a series of cognitive economic experiments. However, there are few agent-based models aiming to characterize such relationship. This paper attempts to bridge this gap and serve as an agent-based model with a focus on agents’ cognitive capacity. To capture the heterogeneity of human cognitive capacity, this paper employs genetic programming as the algorithm of the learning agents, and then uses population size as a proxy parameter of individual cognitive capacity. By modeling agents in this way, we demonstrate a nearly positive relationship between cognitive abilities and economic performance.
關聯 Multi-Agent-Based Simulation X Lecture Notes in Computer Science Volume 5683, 2010, pp 37-48
資料類型 book/chapter
DOI http://dx.doi.org/10.1007/978-3-642-13553-8_4
dc.contributor 經濟系en_US
dc.creator (作者) 陳樹衡zh_TW
dc.creator (作者) Chen, Shu-Heng ; Tai, Chung-Ching ; Wang, Shu G.en_US
dc.date (日期) 2010en_US
dc.date.accessioned 20-Mar-2014 16:57:15 (UTC+8)-
dc.date.available 20-Mar-2014 16:57:15 (UTC+8)-
dc.date.issued (上傳時間) 20-Mar-2014 16:57:15 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64750-
dc.description.abstract (摘要) The relationship between human subjects’ cognitive capacity and their economic performances has been noticed in recent years due to the evidence found in a series of cognitive economic experiments. However, there are few agent-based models aiming to characterize such relationship. This paper attempts to bridge this gap and serve as an agent-based model with a focus on agents’ cognitive capacity. To capture the heterogeneity of human cognitive capacity, this paper employs genetic programming as the algorithm of the learning agents, and then uses population size as a proxy parameter of individual cognitive capacity. By modeling agents in this way, we demonstrate a nearly positive relationship between cognitive abilities and economic performance.en_US
dc.format.extent 531206 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Multi-Agent-Based Simulation X Lecture Notes in Computer Science Volume 5683, 2010, pp 37-48en_US
dc.title (題名) Does Cognitive Capacity Matter when Learning Using Genetic Programming in Double Auction Markets?en_US
dc.type (資料類型) book/chapteren
dc.identifier.doi (DOI) 10.1007/978-3-642-13553-8_4en_US
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-642-13553-8_4 en_US