[1]QU Guohua,ZHANG Zhenhua,XU Ling,et al.A strategy to construct multi-Agent-based complex economic simulation systems[J].CAAI Transactions on Intelligent Systems,2016,11(2):163-171.[doi:10.11992/tis.201509019]
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A strategy to construct multi-Agent-based complex economic simulation systems

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 11 Number of periods: 2016 2 Page number: 163-171 Column: 学术论文—智能系统 Public date: 2016-04-25
Title:
A strategy to construct multi-Agent-based complex economic simulation systems
Author(s):
QU Guohua1;  ZHANG Zhenhua2;  XU Ling3;  LIU Zengliang1;  QU Weihua1;  ZHANG Hanpeng4;  ZHANG Qiang1
1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081,China;
2. School of Economics and Trade, Guangdong University of Foreign Studies, Guangzhou 510006, China;
3. School of Management and Economics, Beijing Institute of Petrochemical of Technology, Beijing 102600, China;
4. School of Business Administration, Southwestern University of Finance and Economics University, Chengdu 610074, China
Keywords:
Agent; CESM; Node; FEAS
CLC:
TP39
DOI:
10.11992/tis.201509019
Abstract:
To find a suitable theory model for complex economic simulation system, complex economic system microcosmic model (CESM) was proposed through the domestic economic system for research and Agent classification, analyzing CESM mechanism. An implementation approach used CESM-simulation and sub-CESM simulation based on intelligent agent and person, enterprise, government and foreign trade actions was defined, and the simulation models are generated by model transformation in order to support computational experiments. Four departments complex economic simulation system FEAS designing and implementation is developed according to CESM strategy proposed. Finally, simulation results are explained from Macroeconomics view, and the results show that the most attractive characteristics of CESM is that it can analyze its macro character by research heterogeneous agents behavior. FEAS simulation testifies that CESM strategy proposed is self contained, and it plays an important role in the integration of simulation system project.
References:
[1] 范如国, 叶菁, 杜靖文. 基于Agent的计算经济学发展前沿: 文献综述[J]. 经济评论, 2013(2): 145-150. FAN Ruguo, YE Jing, DU Jingwen. Frontier development of Agent-based computational economics: a survey[J]. Economic review, 2013(2): 145-150.
[3] ARIFOVIC J, KARAIVANOV A. Learning by doing vs. learning from others in a principal-agent model[J]. Journal of economic dynamics and control, 2010, 34(10): 1967-1992.
[3] 胡代平, 王浣尘. 基于Agent的宏观经济决策支持系统[J]. 系统工程理论与实践, 2002, 22(1): 33-37. HU Daiping, WANG Huanchen. An Agent-based macro-economy decision support system[J]. Systems engineering-theory & practice, 2002, 22(1): 33-37.
[4] ARTHUR W B, HOLLAND J H, LEBARON B, et al. Asset pricing under endogenous expectations in an artificial stock market [D]. London: Brunel University, 1996: 25-30.
[5] 毛海军, 唐焕文, 张杰. 基于多Agent的宏观经济智能预测决策支持系统研究[J]. 运筹与管理, 2003, 12(6): 16-21. MAO Haijun, TANG Huanwen, ZHANG Jie. Research on the multi-Agent based macro-economy intelligent forecast decision support system[J]. Operations research and management science, 2003, 12(6): 16-21.
[6] 王绍坤. 金融网络中基于Agent的企业经济行为资金流动仿真研究[D]. 上海: 上海交通大学, 2009: 12-20. WANG Shaokun. Research on Agent-based corporate account capital flow system simulation in financial network[D]. Shanghai: Shanghai Jiaotong University, 2009: 12-20.
[7] 陈彬, 张鹏, 张烙兵,等. 面向应急管理的人工社会元建模方法[J]. 系统工程理论与实践, 2015, 35(10): 2490-2503. CHEN Bin, ZHANG Peng, ZHANG Luobing, et al. An emergency management oriented meta-modeling approach for modeling artificial society[J]. Systems engineering-theory & practice, 2015, 35(10): 2490-2503.
[8] 徐敏杰, 胡兆光. 基于Agent的经济政策对电力消费影响模拟实验[J]. 系统管理学报, 2011, 20(5): 539-548. XU Minjie, HU Zhaoguang. Simulating impact of macroeconomic policy on electricity consumption based on multi-Agent[J]. Journal of systems & management, 2011, 20(5): 539-548.
[9] 朱永彬, 薛耀文, 高慧敏,等. 基于智能Agent的金融交易模拟终端设计与实现[J]. 计算机技术与发展, 2008, 18(8): 249-253. ZHU Yongbin, XUE Yaowen, GAO Huimin, et al. Design and implementation of finance business simulation terminal based on Agent[J]. Computer technology and development, 2008, 18(8): 249-253.
[10] BASU N, PRYOR R, QUINT T. ASPEN: A microsimulation model of the economy[J]. Computational economics, 1998, 12(3): 223-241.
[11] EPSTEIN J M, AXTELL R L. Growing artificial societies: social science from the bottom up[M]. Washington, DC: Brookings Institution Press, 1996: 45-62.
[12] GILBERT N. Emergence in social simulation[M]//GILBERT N, CONTE R. Artificial Societies: the Computer Simulation of Social Life. London: UCL Press, 1995: 144-156.
[13] MINSKY M. Society of Mind: a response to four reviews[M]//CLANCEY W J, SMOLIAR S W, STEFIK M J. Contemplating Minds: a forum for artificial intelligence. Cambridge, MA: MIT Press, 1994: 252-278.
[14] GUPTA A, KAPUR V. Microsimulation in government policy and forecasting[M]. New York: Elsevier Science Ltd, 2000: 56-80.
[15] 李善同, 高嘉陵. 微观分析模拟模型及其应用[M]. 北京: 机械工业出版社, 1999: 22-30.
[16] HAVEMAN R H, HOLLENBECK K. Microeconomic simulation models for public policy analysis[M]. New York: Academic Press, 1980: 45-62.
[17] GIANNARELLI L. An Analyst’s Guide to TRIM2: the transfer income model[M]. Washington, DC: The Urban Institute, 1992: 22-45.
[18] 史忠植. 高级人工智能[M]. 北京: 科学出版社, 1998: 34-42.
[19] ZHANG L B, QIU X G, ZHANG P, et al. Design and realization of agent action schedule component in artificial society simulation[C]//Chinese Automation Congress (CAC), 2013. Changsha: 2013: 274-279.
[20] 曲国华, 薛耀文. 基于Agent四部门经济循环模型仿真系统研究[J]. 计算机技术与发展, 2011, 21(4): 210-213. QU Guohua, XUE Yaowen. Study of Agent-based four departments’ economy cycling model analogue system[J]. Computer technology and development, 2011, 21(4): 210-213.
[21] 尹翰坤, 尹超, 王伟,等. 基于Multi-Agent的制造资源云服务化封装方法及适配器研究[J]. 计算机集成制造系统, 2014, 20(12): 3182-3188. YIN Hankun, YIN Chao, WANG Wei, et al. Cloud service encapsulation adapter for manufacturing resource based on Multi-Agent[J]. Computer integrated manufacturing systems, 2014, 20(12): 3182-3188.
[22] 孙彬, 陈秋双. 基于多Agent的多式联运运输决策与动态协调[J]. 计算机集成制造系统, 2013, 19(12): 3193-3201. SUN Bin, CHEN Qiushuang. Transportation decision and dynamic coordination for multi-modal transport based on multi-Agent system[J]. Computer integrated manufacturing systems, 2013, 19(12): 3193-3201.
[23] 高鸿业. 西方经济学[M]. 北京: 中国人民大学出版社, 2006: 12-45.
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