Software-Agent Designs in Economics: An Interdisciplinary Framework | Publication

Title	Software-Agent Designs in Economics: An Interdisciplinary Framework
Creator	陳樹衡 Chen,Shu-Heng
Contributor	政治大學經濟系
Date	2008
Date Issued	28-Jul-2011 10:36:28 (UTC+8)
Summary	One of the most fascinating and promising research areas in economics is the integration of the following three fields of economics: experimental economics, computational economics and neuroeconomics. Due to their methodologically interdisciplinary nature, the development of each of the three should interest computer scientists and engineering people. The relationship among experimental economics, agent-based computational economics and neuroeconomics is, in essence, a relationship between human agents and software agents. Software agents can be regarded as the effective abstraction or model of human agents "which we learn from experimental economics or neural economics.
Relation	IEEE Computational Intelligence Magazine, Vol.3, pp.18-22
Type	article
DOI	http://dx.doi.org/10.1109/MCI.2008.929844

dc.contributor	政治大學經濟系	en_US
dc.creator (作者)	陳樹衡	zh_TW
dc.creator (作者)	Chen,Shu-Heng	-
dc.date (日期)	2008	en_US
dc.date.accessioned	28-Jul-2011 10:36:28 (UTC+8)	-
dc.date.available	28-Jul-2011 10:36:28 (UTC+8)	-
dc.date.issued (上傳時間)	28-Jul-2011 10:36:28 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/50624	-
dc.description.abstract (摘要)	One of the most fascinating and promising research areas in economics is the integration of the following three fields of economics: experimental economics, computational economics and neuroeconomics. Due to their methodologically interdisciplinary nature, the development of each of the three should interest computer scientists and engineering people. The relationship among experimental economics, agent-based computational economics and neuroeconomics is, in essence, a relationship between human agents and software agents. Software agents can be regarded as the effective abstraction or model of human agents "which we learn from experimental economics or neural economics.	-
dc.language.iso	en_US	-
dc.relation (關聯)	IEEE Computational Intelligence Magazine, Vol.3, pp.18-22	en_US
dc.title (題名)	Software-Agent Designs in Economics: An Interdisciplinary Framework	en_US
dc.type (資料類型)	article	en
dc.identifier.doi (DOI)	10.1109/MCI.2008.929844	en_US
dc.doi.uri (DOI)	http://dx.doi.org/10.1109/MCI.2008.929844	en_US