期刊文献+

Recent progress in econophysics: Chaos, leverage, and business cycles as revealed by agent-based modeling and human experiments

Recent progress in econophysics: Chaos, leverage, and business cycles as revealed by agent-based modeling and human experiments
原文传递
导出
摘要 Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like "intelligence" remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents' intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied. Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like "intelligence" remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents' intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.
出处 《Frontiers of physics》 SCIE CSCD 2017年第6期139-161,共23页 物理学前沿(英文版)
关键词 agent-based modeling controlled human experiment minority game ECONOPHYSICS chaos leverage business cycle agent-based modeling, controlled human experiment, minority game, econophysics, chaos,leverage, business cycle
  • 相关文献

参考文献4

二级参考文献148

  • 1W. Wang, Y. Chen, and J. P. Huang, Heterogeneous prefer- ences, decision-Making capacity and phase transitions in a complex adaptive system, Proc. Natl. Acad. Sci. USA, 2009, 106(21): 8423.
  • 2L. Zhao, G. Yang, W. Wang, Y. Chen, J. P. Huang, H. Ohashi, and H. E. Stanley, Herd behavior in a complex adaptive system, Proc. Natl. Acad. Sci. USA, 2011, 108(37): 15058.
  • 3Y. Liang, K. N. An, G. Yang, and J. P. Huang, Contrarian behavior in a complex adaptive system, Phys. Rev. E, 2013, 87(1): 012809.
  • 4L. Guo, Y. F. Chang, and X. Cai, The evolution of opinions on scalefree networks, Front. Phys. China, 2006, ](4): 506.
  • 5J. Zhou and Z. H. Liu, Epidemic spreading in complex net- works, Front. Phus. China, 2008, 3(3): 331.
  • 6J. L. Ma and F. T. Ma, Solitary wave solutions of nonlinear financial markets: Data-modeling-concept-practicing, Front. Phys. China, 2007, 2(3): 368.
  • 7J. Q. Fang, Q. Bi, and Y. Li, Advances in theoretical models of network science, Front. Phys. China, 2007, 2(1): 109.
  • 8J. H. Holland, Adaptation in Natural and Artificial Systems, Cambridge, MA: MIT Press, 1992.
  • 9W. B. Arthur, Inductive reasoning and bounded rationality (The E1 Farol problem), Am. Econ. Assoc. Papers Proc., 1994, 84:406.
  • 10D. Challet and Y. C. Zhang, Emergence of cooperation and organization in an evolutionary game, Physica A, 1997, 246(3-4): 407.

共引文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部