Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/122011


Title: On Complex Economic Dynamics: Agent-Based Computational Modeling and Beyond.
Authors: 陳樹衡
Chen, Shu-Heng;Kao, Ying-Fang;Venkatachalam, Ragupathy;Du, Ye-Rong
Chen, Shu-Heng
Contributors: 經濟系
Keywords: Financial markets;Complexity thinking;Agent-based computational economics;Trading institutions;Market processes
Date: 2018-11
Issue Date: 2019-01-19 16:03:21 (UTC+8)
Abstract: This chapter provides a selective overview of the recent progress in the study of complex adaptive systems. A large part of the review is attributed to agent-based computational economics (ACE). In this chapter, we review the frontier of ACE in light of three issues that have long been grappled with, namely financial markets, market processes, and macroeconomics. Regarding financial markets, we show how the research focus has shifted from trading strategies to trading institutions, and from human traders to robot traders; as to market processes, we empathetically point out the role of learning, information, and social networks in shaping market (trading) processes; finally, in relation to macroeconomics, we demonstrate how the competition among firms in innovation can affect the growth pattern. A minor part of the review is attributed to the recent econometric computing, and methodology-related developments which are pertinent to the study of complex adaptive systems.
Relation: Complex Systems Modeling and Simulation in Economics and Finance, Springer International Publishing, pp.1-14 Chapter 1
Data Type: book/chapter
DOI 連結: http://dx.doi.org/10.1007/978-3-319-99624-0
Appears in Collections:[經濟學系] 專書/專書篇章

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