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題名:	Granularity in Economic Decision Making: An Interdisciplinary Review
作者:	陳樹衡;Du, Ye-Rong Chen, Shu-Heng;Du, Ye-Rong
貢獻者:	經濟系
關鍵詞:	Granularity;Paradox of Choice;Chunks;Modularity;Heuristics;Nudges;Reinforcement Learning;Evolutionary Computation
日期:	2015-09
上傳時間:	2016-03-16 15:45:52 (UTC+8)
摘要:	In this article, we attempt to provide a review of the idea of granularity in economic decision making. The review will cover the perspectives from different disciplines, including psychology, cognitive science, complex science, and behavioral and experimental economics. Milestones along this road will be reviewed and discussed, such as Barry Schwartz’s paradox of choice, George Miller’s magic number seven, Gerd Gingerenzer’s fast and frugal heuristics, and Richard Thaler’s nudges. Recent findings from human-subject experiments on the effects of granularity on decision making will also be reviewed, accompanied by various learning models frequently used in agent-based computational economics, such as reinforcement learning and evolutionary computation. These reviews are purported to advance our thinking on the long-ignored granularity in economics and the subsequent implications for public policy-making, such as retirement plans. It, of course, remains to be examined whether the good use of the idea of granularity can enhance the quality of decision making.
關聯:	Studies in Big Data, 10, 47-71
資料類型:	book/chapter
DOI 連結:	http://dx.doi.org/10.1007/978-3-319-16829-6_3
DOI:	10.1007/978-3-319-16829-6_3
顯示於類別:	[經濟學系] 專書/專書篇章

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檔案	描述	大小	格式	瀏覽次數
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