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

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

題名:	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
關鍵詞:	Non-tâtonnement process;Coordination;Agent-based modeling;Learning
日期:	2017-08-04
上傳時間:	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
顯示於類別:	[產業經濟學系暨研究所] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	178	檢視/開啟

在機構典藏中所有的資料項目都受到原著作權保護.

TAIR相關文章

資料載入中.....