Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning

doi:10.1007/s10614-017-9721-5

淡江大學機構典藏 > 商管學院 > 產業經濟學系暨研究所 > 期刊論文 > Item 987654321/116909

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/116909

题名:	Agent-Based Modeling of a Non-tâtonnement Process for the Scarf Economy: The Role of Learning
作者:	Shu-Heng Chen;Bin-Tzong Chie;Ying-Fang Kao;Ragupathy Venkatachalam
关键词:	Non-tâtonnement process;Coordination;Agent-based modeling;Learning
日期:	2017-08-04
上传时间:	2019-07-02 12:10:15 (UTC+8)
出版者:	Springer
摘要:	In this paper, we propose a meta-learning model to hierarchically integrate individual learning and social learning schemes. This meta-learning model is incorporated into an agent-based model to show that Herbert Scarf’s famous counterexample on Walrasian stability can become stable in some cases under a non-tâtonnement process when both learning schemes are involved, a result previously obtained by Herbert Gintis. However, we find that the stability of the competitive equilibrium depends on how individuals learn—whether they are innovators (individual learners) or imitators (social learners), and their switching frequency (mobility) between the two. We show that this endogenous behavior, apart from the initial population of innovators, is mainly determined by the agents’ intensity of choice. This study grounds the Walrasian competitive equilibrium based on the view of a balanced resource allocation between exploitation and exploration. This balance, achieved through a meta-learning model, is shown to be underpinned by a behavioral/psychological characteristic.
關聯:	Computational Economics 54, p.305-341
DOI:	10.1007/s10614-017-9721-5
显示于类别:	[產業經濟學系暨研究所] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	180	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....