Please wait a minute...
Frontiers of Physics

ISSN 2095-0462

ISSN 2095-0470(Online)

CN 11-5994/O4

邮发代号 80-965

2019 Impact Factor: 2.502

Frontiers of Physics  2013, Vol. 8 Issue (4): 461-466   https://doi.org/10.1007/s11467-013-0339-3
  RESEARCH ARTICLE 本期目录
Robustness of critical points in a complex adaptive system: Effects of hedge behavior
Robustness of critical points in a complex adaptive system: Effects of hedge behavior
Yuan Liang梁源1,2, Ji-Ping Huang黄吉平1()
1. Department of Physics and State Key Laboratory of Surface Physics, Fudan University, Shanghai 200433, China; 2. Department of Physics, College of Science, Donghua University, Shanghai 201602, China
 全文: PDF(582 KB)   HTML
Abstract

In our recent papers, we have identified a class of phase transitions in the market-directed resourceallocation game, and found that there exists a critical point at which the phase transitions occur. The critical point is given by a certain resource ratio. Here, by performing computer simulations and theoretical analysis, we report that the critical point is robust against various kinds of human hedge behavior where the numbers of herds and contrarians can be varied widely. This means that the critical point can be independent of the total number of participants composed of normal agents, herds and contrarians, under some conditions. This finding means that the critical points we identified in this complex adaptive system (with adaptive agents) may also be an intensive quantity, similar to those revealed in traditional physical systems (with non-adaptive units).

Key wordscomplex adaptive system    phase transition    resource allocation    hedge behavior    agentbased simulation
收稿日期: 2013-04-16      出版日期: 2013-08-01
Corresponding Author(s): Ji-Ping Huang黄吉平,Email:jphuang@fudan.edu.cn   
 引用本文:   
. Robustness of critical points in a complex adaptive system: Effects of hedge behavior[J]. Frontiers of Physics, 2013, 8(4): 461-466.
Yuan Liang梁源, Ji-Ping Huang黄吉平. Robustness of critical points in a complex adaptive system: Effects of hedge behavior. Front. Phys. , 2013, 8(4): 461-466.
 链接本文:  
https://academic.hep.com.cn/fop/CN/10.1007/s11467-013-0339-3
https://academic.hep.com.cn/fop/CN/Y2013/V8/I4/461
1 W. Wang, Y. Chen, and J. P. Huang, Heterogeneous preferences, decision-Making capacity and phase transitions in a complex adaptive system, Proc. Natl. Acad. Sci. USA , 2009, 106(21): 8423
doi: 10.1073/pnas.0811782106 pmid:19435846
2 L. 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
doi: 10.1073/pnas.1105239108 pmid:21876133
3 Y. Liang, K. N. An, G. Yang, and J. P. Huang, Contrarian behavior in a complex adaptive system, Phys. Rev. E , 2013, 87(1): 012809
doi: 10.1103/PhysRevE.87.012809
4 L. Guo, Y. F. Chang, and X. Cai, The evolution of opinions on scalefree networks, Front. Phys. China , 2006, 1(4): 506
doi: 10.1007/s11467-006-0054-4
5 J. Zhou and Z. H. Liu, Epidemic spreading in complex networks, Front. Phys. China , 2008, 3(3): 331
doi: 10.1007/s11467-008-0027-x
6 J. L. Ma and F. T. Ma, Solitary wave solutions of nonlinear financial markets: Data-modeling-concept-practicing, Front. Phys. China , 2007, 2(3): 368
doi: 10.1007/s11467-007-0047-y
7 J. Q. Fang, Q. Bi, and Y. Li, Advances in theoretical models of network science, Front. Phys. China , 2007, 2(1): 109
doi: 10.1007/s11467-007-0006-7
8 J. H. Holland, Adaptation in Natural and Artificial Systems, Cambridge, MA: MIT Press , 1992
9 W. B. Arthur, Inductive reasoning and bounded rationality (The El Farol problem), Am. Econ. Assoc. Papers Proc. , 1994, 84: 406
10 D. Challet and Y. C. Zhang, Emergence of cooperation and organization in an evolutionary game, Physica A , 1997, 246(3–4): 407
doi: 10.1016/S0378-4371(97)00419-6
11 N. F. Johnson, P. Jefferies, and P. M. Hui, Financial Market Complexity, Oxford: Oxford University Press, 2003
doi: 10.1093/acprof:oso/9780198526650.001.0001
12 L. Tesfatsion, Agent-based computational economics: Modeling economies as complex adaptive systems, Inform. Sci. , 2003, 149(4): 263
doi: 10.1016/S0020-0255(02)00280-3
13 J. D. Farmer and D. Foley, The economy needs agent-based modeling, Nature , 2009, 460(7256): 685
doi: 10.1038/460685a1 pmid:9661896
14 L. X. Zhong, D. F. Zheng, B. Zheng, and P. M. Hui, Effects of contrarians in the minority game, Phys. Rev. E , 2005, 72(2): 026134
doi: 10.1103/PhysRevE.72.026134 pmid:16196671
15 Q. Li, L. A. Braunstein, S. Havlin, and H. E. Stanley, Strategy of competition between two groups based on an inflexible contrarian opinion model, Phys. Rev. E , 2011, 84(6): 066101
pmid:22304149
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed