學術產出-Books & Chapters in Books

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

  • No doi shows Citation Infomation
題名 Collaborative Computational Intelligence in Economics
作者 陳樹衡
Chen, Shu-Heng
貢獻者 經濟系
日期 2009
上傳時間 20-Mar-2014 16:57:02 (UTC+8)
摘要 In this chapter, we review the use of the idea of collaborative computational intelligence in economics. We examine two kinds of collaboration: first, the collaboration within the realm of computational intelligence, and, second, the collaboration beyond the realm of it. These two forms of collaboration have had a significant impact upon the current state of economics. First, they enhance and enrich the heterogeneous-agent research paradigm in economics, alternatively known as agent-based economics. Second, they help integrate the use of human agents and software agents in various forms, which in turn has tied together agent-based economics and experimental economics. The marriage of the two points out the future of economic research. Third, various hybridizations of the CI tools facilitate the development of more comprehensive treatments of the economic and financial uncertainties in terms of both their quantitative and qualitative aspects.
關聯 Computational Intelligence Intelligent Systems Reference Library Volume 1, 2009, pp 233-273
資料類型 book/chapter
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) 2009en_US
dc.date.accessioned 20-Mar-2014 16:57:02 (UTC+8)-
dc.date.available 20-Mar-2014 16:57:02 (UTC+8)-
dc.date.issued (上傳時間) 20-Mar-2014 16:57:02 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64749-
dc.description.abstract (摘要) In this chapter, we review the use of the idea of collaborative computational intelligence in economics. We examine two kinds of collaboration: first, the collaboration within the realm of computational intelligence, and, second, the collaboration beyond the realm of it. These two forms of collaboration have had a significant impact upon the current state of economics. First, they enhance and enrich the heterogeneous-agent research paradigm in economics, alternatively known as agent-based economics. Second, they help integrate the use of human agents and software agents in various forms, which in turn has tied together agent-based economics and experimental economics. The marriage of the two points out the future of economic research. Third, various hybridizations of the CI tools facilitate the development of more comprehensive treatments of the economic and financial uncertainties in terms of both their quantitative and qualitative aspects.en_US
dc.format.extent 516150 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Computational Intelligence Intelligent Systems Reference Library Volume 1, 2009, pp 233-273en_US
dc.title (題名) Collaborative Computational Intelligence in Economicsen_US
dc.type (資料類型) book/chapteren