基于系统演化算法的水资源多Agent系统建模仿真研究
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摘要
本文深化复杂适应系统理论在水资源系统研究中的应用,综合运用复杂性科学、水资源优化配置、人工智能、计算机仿真等学科的相关理论和方法,结合我国南水北调东线水资源系统的实际,从理论分析和技术实现的角度对水资源复杂适应系统进行研究。
     首先,本文在介绍水资源优化配置、复杂系统和复杂性科学理论、智能Agent理论、一般的复杂适应系统特性、概念、研究方法的基础上,运用复杂适应系统理论对水资源系统进行解析,确定了水资源复杂适应系统研究的基本方法,建立了水资源多Agent系统的概念。
     其次,本文研究了水资源多Agent系统的建模,主要包含两部分内容:单Agent抽象和建模,以及系统整体建模。单Agent抽象和建模是在对水资源系统分析的基础上抽象出水资源系统中的Agent,并根据水资源系统Agent的特点,引入智能Agent的研究成果,建立单Agent的理论和结构模型,将经济学研究中对人类行为方式的研究融合到水资源Agent建模的研究中。系统整体建模研究水资源多Agent系统的整体模型,主要考虑如何将单Agent进行组织和协调,实现水资源多Agent系统的协作和进化,以完成水资源多Agent系统的整体目标。在此,本文引入了协同进化机制,建立了水资源多Agent系统的整体协作模型。
     接着,本文研究了将水资源系统中的Agent和多Agent系统从概念模型的表达方式向仿真模型的表达方式进行转化。从分析Agent的学习机制入手,建立了水资源多Agent系统的基于遗传算法的三层演化优化模型。从微观个体行为优化级、微观个体交互作用级和宏观系统演化优化级三个层次对优化算法进行了研究。对每一层的优化模型进行了详细的论述,并用具体的例子进行仿真,为后续的水资源多Agent系统仿真框架的建立奠定技术基础。
     然后,本文研究了水资源复杂适应系统的仿真问题,对水资源复杂适应系统仿真理论进行了介绍,对基于Agent的仿真技术及其应用进行了探讨,并建立了水资源多Agent系统的仿真框架。
     最后,作为水资源复杂适应系统理论的实践应用,本文对南水北调东线工程水资源优化配置问题进行了仿真研究。在了解南水北调东线工程概况的基础上,应用本文建立的水资源复杂适应系统的理论和方法建立了仿真模型,并进行编程实现,然后对仿真结果进行了分析。
Combined with the practice of the east route of south-to-north water transfer project (SNTP),the thesis introduces the complex adaptive system (CAS) theory into the research of waterresources system and studies the water resources complex adaptive system (WRCAS) from threeangles of philosophy, theory and technology by synthetically using the theories and methods ofcomplexity science, water resources allocation, artificial intelligence (AI) and computersimulation.
     Firstly, the theory, characters and concept of agent, the standpoint of adaptability leading tocomplexity and the study means of CAS are introduced. Then the technology means of WRCAS isidentified based on the analysis of water resources system according to CAS theory, and then theconcept of water resources multi-agent system (WRMAS) is advanced based on the theoryframework of WRCAS.
     Secondly, the modeling of WRMAS is studied, including two parts: agent modeling andsystem modeling. Agent modeling is to abstract the agents from a water resources system based onthe analysis of the water resources system and then to build the theory and structure model of theagents based on AI theory. System modeling is to build the whole model of WRMAS and mainlyconsiders how to organize and harmonize the agents to accomplish the co-evolution and wholeobjects of WRMAS. For this, a system cooperative model is built by the cooperative co-evolutionmechanism is introduced.
     Thirdly, the evolution algorithm of WRMAS is studied and a three-level-evolution-model isestablished based on genetic algorithm (GA), which realizes the transition from the conceptualmodel of agent and WRMAS to the simulation model. The three-level-evolution-model studies thesystem evolution algorithm from the three levels: micro-agent behavior level, micro-agentinteraction level and macro-system evolution level. The every level of the model is discussed indetail and illustrated with an example.
     Fourthly, the simulation problem of WRMAS is studied and a simulation framework is builtbased on the agent-oriented theory and technology.
     Finally, as a practice of WRCAS theory and methods, the water resources allocation theeast-route of SNTP is simulated. Based on the knowledge of the project, a simulation model is setup by the WRCAS theory and methods are applied. The model is programmed in computer andthe simulation results are analyzed in the end of the thesis.
引文
[1] Norman. J. Dudely. Optimal inter-seasonal irrigation water allocation[J]. Water Resources, 7(4), 1997.
    
    [2] P. W. Herbertson, W. J. Dovey. The allocation of fresh water resources of a tidal estuary [J]. Optimal Allocation of Water Resources(Proceedings of the Enter Symposium), 1982, 135.
    [3] E. Romijn. M. Tamiga. Allocation of Water Resources (Proceedings of the Enter Symposium) , 1982, 135.
    [4] Afzal, Javaid, Noble, David H. Optimization model for alternative use of different quality irrigation waters[J]. Journal of Irrigation and Drainage Engineering, Mar-Apr 1992: 218-228.
    [5] Watkins David W, Jr Mc Knney. Daene C Robust. Optimization on for incorporation risk and uncertainty in sustainable water resource rose pianning[J]. International Association of Hydrolchcal Sciences, 1995(13):225-232
    
    [6] 吴泽宁,索丽生.水资源优化配置研究进展[J].灌溉排水学报,2004(2):1-5.
    [7] Wong Hugh S, Sun Ne-zheng. Optimization of conjunction use of surface water and groundwater with water quality constraints[A], Proceedings of the Annual Water Resources Planning and Management Conference[C]. ASCE, 1997(4):408~413.
    [8] Kumar, Arun. Minocha, Vijay K. Fuzzy Optimization model for water quality management of a river system [J]. Journal of Water Resources Planning and Management, May-Jun, 1999: 179-180.
    [9] UNCED (United Nations Conference on Environment and Development ) . Agenda 21[M], Chapter 18, 1998.
    [10] Young, G.J., J. Dooge and J.C. Rodda. Global water resources issues[M]. New York: Cambridge University Press, 1994.
    
    [11] US Water Resources Council. Economic and environmental principles and guidelines for water and related land resources implementation studies [M]. Washington, D.C.: Government Printing Office, 1983.
    
    [12] OECD (Organization for Economic Cooperation and Development ). Management of water projects: decision-making and investment appraisal [M]. Paris: OECD Publications, 1985.
    [13] Noel, J.E. and R.E. Howitt. Conjunctive multi-basin management: An optimal control approach [J]. Water Resources Research, 1982,18(4): 753-763.
    [14] Lefkoff, L.J. and S.M. Gorelick. Simulating physical processes and economic behavior in saline, irrigated agriculture: Model development [J]. Water Resources Research, 1990a, 26(7): 1359-1369.
    [15] Lefkoff, L.J, and S.M. Gorelick. Benefits of an irrigation water rental market in a saline stream-aquifer system [J]. Water Resources Research, 1990b, 26(7): 1371-1381.
    [16] Booker, J.F. and R.A. Young. Modeling intrastate and interstate markets for Colorado River water resources [J]. Journal of Environment Economics and Management, 1994, 26(1): 66-87.
    [17] Henderson, J.L. and W.B. Lord. A gaming evaluation of Colorado River drought management institutional options[J]. Water Resources Bulletin, 1995, 31(5): 907-924.
    [18] Lee, D.J. and R.E. Howitt. Modeling regional agricultural production and salinity control alternative for water quality policy analysis [J]. American Journal of Agricultural Economics, 1996, 78(1): 41-53.
    [19] Faisal, I.M., R.A. Young and J.W. Warner. Integrated economic-hydrologic modeling for groundwater basin management [J]. Water Resources Development, 1997, 13(1): 21-34.
    [20] Daene C. Mckinney, Ximing Cai, Mark W. Rosegrant, Claudia Ringler and Christopher A. Scott. Modeling water resources management at the basin level: Review and future directions. International Water Management Institute, 1999.
    [21] 许新宜,王浩,甘泓等.华北地区宏观经济水资源规划理论与方法[M].郑州:黄河水利出版社,1997:274-276.
    [22] 中国水利水电科学研究院等.宁夏水资源优化配置与可持续利用战略研究[R].北京:中国水利水电科学研究院,1999.
    [23] 中国水利水电科学研究院等.新疆经济发展与水资源合理配置及承载能力研究[R].北京:中国水利水电科学研究院,1999.
    [24] 中国水利水电科学研究院等.西北地区水资源合理配置与承载能力研究[R].北京:中国水利水电科学研究院,2000.
    [25] 翁文斌,蔡喜明,王浩等.宏观经济水资源规划多目标决策分析方法研究及应用[J].水利学报,1995(2):1-11.
    [26] 许新宜,王浩,甘泓等.华北地区宏观经济水资源规划理论与方法[M].郑州:黄河水利出版社,1997.
    [27] 王忠静.干旱内陆河区水资源承载能力与可持续利用研究[D].清华大学,1999.
    [28] 冯尚友.水资源持续利用与管理导论[M].北京:科学出版社,2000.
    [29] 王慧敏.流域可持续发展系统理论与方法[M].河海大学出版社,2000.
    [30] 王慧敏等.流域可持续发展系统分析[J].水科学进展.2000,11(2):165-172.
    [31] 阮本清,梁瑞驹,王浩,杨小柳.流域水资源管理[M].北京:科学出版社,2001.
    [32] Ximing Cai. A framework for sustainability analysis in water resources management and application to the Syr Darya Basin[J]. Water Resources Research, 2002, Vol. 38, No. 0, 10. 1029.
    [33] 王顺久、侯玉、张欣莉、丁晶.水资源优化配置理论发展研究[J].中国人口·资源与环境.2002,12(5):79-81.
    [34] 王顺久、侯玉、张欣莉、丁晶.中国水资源优化配置研究的进展与展望[J].水利发展研究,2002.2(9):9-11.
    [35] 贺北方,周丽,马细霞,王效宇,贺建辉.基于遗传算法的区域水资源优化配置模型[J].水电能源科学.2002,20(3):10-71.
    [36] 陈晓宏,陈永勤,赖国友.东江流域水资源优化配置研究[J].自然资源学报.200,17(3):366-372.
    [37] 龙爱华、徐中民、张志强、王劲峰、苏志勇.基于边际效益的水资源空间动态优化配置研究——以黑河流域张掖地区为例[J].冰川冻土.2002,24(4):407-413.
    [38] 冯耀龙,韩文秀,王宏江,练继建.面向可持续发展的区域水资源优化配置研究[J].系统工程理论与实践.2003,2:133-138.
    [39] 陈守煜,黄宪成,李登峰.大连市水资源利用与宏观经济协调发展规划多目标群决策模型与方法[J].水利学报.2003,3:42-48.
    [40] 王济干、张婕、董增川.水资源配置的和谐性分析[J].河海大学学报(自然科学版).2003,31(6):702-705.
    [41] 王浩、秦大庸等.“十·五”国家科技攻关计划重大项目:基于流域水循环的黑河水资源合理配置研究报告.中国水利水电科学研究院.黄委会黑河流域管理局.2003,12.
    [42] 王浩、王建华、秦大庸.流域水资源合理配置的研究进展与发展方向[J].水科学进展.2004, 15(1):123-128.
    [43] 金菊良,魏一鸣.水资源系统工程的理论框架探讨[J].系统工程理论与实践.2004,2:130-137.
    [44] J.I.马托多.水资源规划与管理的方法[J].水利水电快报,2005,26(24):1-5.
    [45] Yeh WWG. Reservoir management and operations models: a state-of-the-art review [J]. Water Resources Research, 1985, 21(12): 1797-1818.
    [46] Shangguan Z, Shao M, Horton R, et al. A model for regional optimal allocation of irrigation water resources under deficit irrigation and its applications[J]. Agricultural water management, 2002(52): 139-154.
    [47] 冯尚友.水资源系统工程[M].武汉:湖北科学技术出版社,1991.
    [48] Govert D. Geidof. Policy Analysis and Complexity-A Non-equilibrium Approach for Integrated Water Management[J]. Water Science and Technology, Vol. 32, No. 1, pp.7-13, 1995.
    [49] Govert D. Geldof. Adaptive Water Management: Integrated Water Management on the Edge of Chaos[J]. Water Science and Technology, Vol. 31, No.8, pp.301-309, 1995.
    [50] P. Jeffrey, R. Seaton. Evaluation Methods for the Design of Adaptive Water Supply Systems in Urban Environments[J]. Water Science and Technology, Vol. 35, No.9, pp.45-51, 1997.
    [51] Roger S. Pulwarty, Theodore S. Melis. Climate Extremes and Adaptive Management on the Colorado River: Lessons form the 1997-1998 ENSO Event[J], Journal of Environmental Management (2001) 63,307-324.
    [52] 魏一鸣.洪水灾害研究的复杂性理论[M].自然杂志.1999,21(3):139-142.
    [53] 徐小群等.流域可持续发展系统水资源综合集成研讨厅体系[J].信息与控制,2001,30(6):516-521.
    [54] 赵建世,王忠静,翁文斌.水资源复杂适应配置系统的理论与模型[J].地理学报,2002,7(6):639-647.
    [55] 王慧敏,佟金萍,马小平,倪建军,牛文娟.基于CAS范式的流域水资源配置与管理及建模仿真[J].系统工程理论与实践,2005,23(5):34-36.
    [56] 于景元,刘毅,马昌超.关于复杂性研究[J].系统仿真学报,2002,14(11):1417-1424.
    [57] 顾基发,唐晋锡.从古代系统思想到现代东方系统方法论[J].系统工程理论与实践,2000,1(1).
    [58] 王雨田.统计物理在物理学革命与复杂系统自组织演化理论形成中的地位与作用[J].自然辩证法研究,1993,9(8).
    [59] 许国志,顾基发,车宏安.系统科学与工程研究[C].上海:上海科技教育出版社,2000.
    [60] 乔非,沈荣芳,吴启迪.系统理论、系统方法、系统工程——发展与展望[J].系统工程,1996,14(5):5-10.
    [61] M.盖尔曼著,杨建邺,李湘涟等译.夸克和美洲豹——简单性与复杂性的奇遇[M].湖南科学技术出版社,1998.
    [62] 约翰.霍兰著,周晓牧等译.隐秩序——适应性造就复杂性[M].上海:上海科技教育出版社,2001.
    [63] 约翰.霍兰著,陈禹等译.涌现[M].上海:上海科技教育出版社,2001.
    [64] Waldrop M著,陈玲译.复杂:诞生于秩序与混沌边缘的科学[M].生活.读书.新知三联书店,1997
    [65] http://www.santafe.edu
    [66] 戴汝为,沙飞.复杂性问题研究综述:概念及研究方法[J].自然杂志,17(2).
    [67] 操龙兵,戴汝为.综合集成研讨厅的软件体系结构[J].软件学报,2002,13(8):1430-1435.
    [68] 崔霞,戴汝为,李耀东.群体智慧在综合集成研讨厅体系中的涌现[J].系统仿真学报,2003,15(1):146-153.
    [69] 王浣尘.综合集成系统开发的系统方法思考[J].系统工程理论方法应用,2002,11(1):1-7.
    [70] 戴汝为,操龙兵.Internet——一个开放的复杂巨系统[J].中国科学(E辑),2003,33(4):289-296.
    [71] 约翰.霍兰著,孙雍军等译.科学的终结[M].呼和浩特:远方出版社,1997.
    [72] 约翰.L.卡斯蒂著,王千祥,权利宁译.虚拟世界——计算机仿真如何改变科学的疆域[J].上海科技教育出版社,1998.
    [73] 钱学森,戴汝为,于景元.一个科学新领域——开放的复杂巨系统及其方法论[J].自然杂志,1990,13(1):3-10.
    [74] 钱学森.开创复杂巨系统的科学与技术[J].系统工程理论与实践,1995,1:1-2.
    [75] 戴汝为.复杂巨系统科学——一门21世纪的科学[J].自然杂志,1996,19(4):187-197.
    [76] 中国系统工程学会.复杂巨系统理论.方法.应用[M].北京:科学技术文献出版社,1994.
    [77] 王寿云,于景元,戴汝为,汪成为,钱学森,徐元季.开放的复杂巨系统[M].杭州:浙江科学技术出版社.1996.
    [78] Agent based modeling, http://www.cadrc.calpoly.edu/pdf/JSVoss_120400.pdf.
    [79] 苗东升.复杂性研究的现状与展望[J].系统辩证学学报,2001,9(4):3-9.
    [80] 王正中.复杂系统仿真方法及应用[J].计算机仿真,2001,18(1):3-7.
    [81] E. Rich, K. knight. Artificial Intelligence [M]. McGraw-Hill, New York, 1996.
    [82] N. J. Nilsson, Artificial Intelligence, A New Synthesis [M]. Morgan Kaufmann Publishers, Inc, 1998.
    [83] B. G. Buchanan, E. H. Shortliffe, et al. Rule-Based Expert Systems: The MYCIN Experiments of the Heuristic Programming Project [M]. Reading MA: Addison Wesley, 1984.
    [84] 杨炳儒主编.知识工程与知识发现[M].北京:冶金工业出版社,2000,12
    [85] K. De Jong. Learning with genetic algorithms: an overview [J]. Machine learning, 1988, 3: 121-138
    [86] Tom M.Mitchell著,曾华军等译.机器学习[M].北京:机械工业出版社,2003,1
    [87] 祁亨年.支持向量机及其应用研究综述[J].计算机工程,2004,30(10):6-9
    [88] 蔡自兴等编著.人工智能及其应用(第3版)[M].北京:清华大学出版社,2003
    [89] L. A. Zadeh. Fuzzy logic, neural networks and soft computing [J]. Communications of the ACM, 1994, 37(3): 77-84
    [90] K. J. Hunt. Neural networks for control systems: a survey [J]. Automatic, 1992, 28(6): 1083-1112
    [91] 周明,孙树栋.遗传算法原理及应用[M].北京:国际工业出版社,1999.
    [92] D. E. Goldberg. Genetic algorithm in search [M]. Optimization and Machine Learning, Addison-Wesley, Reading, Mass, 1989.
    [93] 刘大有,杨鲲,陈建中.Agent研究现状与发展趋势[J].软件学报,2000,11(3):315-321
    [94] Franklin S and Graesser A. ls it an agent, or just a program? A taxonomy for autonomous agent [A]. In: Proceedings of the 3rd International Workshops on Agent Theories, Architectures and Language, Springer-Verlag, 1996: 62-71.
    [95] M. J. Wooldridge. Agent-based software engineering[J]. IEEE Transactions on Software Engineering, 1997, 144(1): 26-37
    [96] M. J. Wooldridge and N. R. Jennings. Intelligent agent: theory and practice [J]. Knowledge Engineering Review, 1995, 10(2): 115-152.
    [97] Y. Shoham. Agent-Oriented programming[J]. Journal of Artificial Intelligence, 1993, 60(1): 51-92
    [98] Nicholas R. Jennings. On agent-oriented software engineering [J]. Journal of Artificial Intelligence, 2000, 11(7): 277-296
    [99] D. M. Lane and A. G. Mcfadzean. Distributed problem solving and real-time mechanisms in robot architectures [J]. Engineering Application Intelligence, 1994, 7(2): 105-117.
    [100] A. S. Rao and M. P. Georgeff. Modeling rational agents within a BDI-architecture [A]. Proceeding of KR-91, San Marco, CA, USA, 1991: 272-297.
    [101] A. S. Rao and M. P. Georgeff. An abstract architecture for rational agents[A]. Proceeding of KR-92, 1992: 423-441.
    [102] A. S. Rao and M. P. Georgeff. A model-theoretic approach to the verification of situated reasoning systems[A]. Proceeding of IJCAI-93, Chamberey, France, 1993.
    [103] A. S. Rao and M. P. Georgeff. BDI agents: from theory to practice [A]. Proceedings of the 1st International Conference on Multi-agent Systems (ICMAS-95), San Francisco, ACM Press, 1995
    [104] Yangkun and Liu Dayou. Agents: properties and classifications [J]. Computer Science, 1999, 26(9): 30-34.
    [105] Burt Wilsker. A study of multi-agent collaboration theories. Information Science Institute Research Report ISI/RR-96-449, Nov. 1996.
    [106] Nicholas R. Jennings. Commitments and conventions: the foundation of coordination in multi-agent systems [J]. Knowledge Engineering Review, 1993, 8(3): 223-250.
    [107] Grosz B. Collaborative systems[J]. AI Magazine, 1995, 17(2): 67-85.
    [108] Kinny D., M. L. Jungberg, A. S. Rao, et al. Planned Team Activity [A]. In: 4th European Workshop on Modeling Autonomous Agents in a Multi-agent World, 1992.
    [109] 薛宏涛.基于协进化机制的多智能体系统体系结构及多智能体协作方法研究[D].国防科学技术大学,工学博士论文,2002.
    [110] 陈禹.复杂适应系统理论及其应用——由来、内容与启示[J].系统辩证学学报,2001,9(4):
    [111] 许国志主编.系统科学[M].上海:上海科技教育出版社,2000.
    [112] 王雨田.关于系统科学哲学探讨的回顾与问题[J].系统辩证学学报,1994(2):8-16.
    [113] Thomas S. Kuhn.
    [114] 张保银.经济管理复杂适应系统理论与仿真研究[D].天津大学博士论文,2002.
    [115] 迟妍.基于复杂适应系统理论的作战模型研究[D].国防科学技术大学,2004.
    [116] 廖守亿.复杂系统基于Agent的建模与仿真方法研究及应用[D].国防科学技术大学,2005.
    [117] 冯尚友,刘国全,梅亚东.水资源生态经济复合系统及其可持续发展[J].武汉水利电力大学学报,1995,28(6):624-629.
    [118] 宋豫秦等著.淮河流域可持续发展战略初论[M].化学工业出版社,2003:62-77.
    [119] 王慧敏,胡震云.南水北调供应链运营管理的若干问题探讨[J].水科学进展 2005,16(6):864-869.
    [120] 张平.南水北调工程受水区水资源优化配置研究[D].河海大学博士论文,2006.
    [121] 胡成功.生态位理论与我国知识经济发展战略[J].中国软科学,2000(6):120-124.
    [122] 张光明,谢寿昌.生态位概念演变与展望[J].生态学杂志,1997(6):46-51.
    [123] 马光伟,徐晋晖,石纯一.Agent思维状态模型[J].软件学报,1999,10(4):342-348.
    [124] Bradshaw M. An introduction to software agents[J]. In: Bradshaw M ed. Software Agents. Menlo Park, California: AAAI Press, 1997, 3-46.
    [125] 孙志勇.多Agent系统体系结构及建模方法研究[D].合肥工业大学博士论文,2004,2-3.
    [126] Peter Coad著,邵维忠等译.面向对象的分析[M].北京大学出版社.
    [127] 朱九龙,王慧敏.南水北调水资源供应链中牛鞭效应的随机控制[J].系统工程,2005,23(5):1-6.
    [128] 赵建世.基于复杂适应理论的水资源优化配置整体模型研究[D].清华大学博士论文,2003.
    [129] 雷曜.复杂系统中的人—组织行为初探[J].清华大学学报,2000,15(4):38-42.
    [130] R. G. Smith. The contract net protocol: high-level communication and control in a distributed problem solver [A]. IEEE Trans on Computer, 1980, C-29(12): 1104-1113.
    [131] 史忠植.智能主体及其应用[M].北京:科学出版社,2000
    [132] 夏军,王中根,穆宏强.可持续水资源管理评价指标体系研究(一)[J].长江职工大学学报,2000,17(2):1-7
    [133] 夏军,王中根,穆宏强.可持续水资源管理评价指标体系研究(一)[J].长江职工大学学报,2000,17(2):1-7.
    [134] 沈晓蓉,张海,孙先仿,范跃祖.基于遗传算法的学习分类器系统[J].控制与决策,2006,21(3):323-330.
    [135] 邱世明.复杂适应系统协同理论方法与应用研究[D].天津大学博士论文,2002.
    [136] 刘静.协同进化算法及其应用研究[D].西安电子科技大学博士学位论文,2004.
    [137] 刘建林,马斌,解建仓,赵勇.跨流域多水源多目标多工程联合调水仿真模型——南水北调东线工程[J],水土保持学报,2003,17(1):75-79.
    [138] 周丽.基于遗传算法的区域水资源优化配置研究[D].郑州:郑州工业大学学位论文,2002:43-45.
    [139] 金菊良.遗传算法用于水科学优化问题中的理论和应用研究[J].系统工程,1999(3):77-80.
    [140] 李善同,许新宜.南水北调与中国发展[M].经济科学出版社,2004.
    [141] 王浩,秦大庸,王建华等.黄淮海流域水资源合理配置研究[M].北京:科学出版社,2003.
    [142] 何江华.计算机仿真导论[M].北京:科学出版社,2001.
    [143] Wagner G, Tulba F. Agent-Oriented Modeling and Agent-Based Simulation[A]. In Proceedings of 5th int Workshop on Agent-Oriented Information Systems(AOIS-2003), ER2003 Workshops, Springer-Verlag, LNCS, 2003.
    [144] 赵怀慈.基于Agent的建模与仿真方法研究[D].工学博士学位论文,中国科学院沈阳自动化研究所,2003.
    [145] 曹军海.基于Agent的离散事件仿真建模框架及其在系统RMS建模与仿真中的应用研究[D].工学博士学位论文,装甲兵工程学院,2002.
    [146] Brian J L B, Kiel D, Elliott E. Adaptive agents, intelligence, and emergent human organization: Capturing complexity through agent-based modeling. PNAS 2002 99: 7187-7188: published online before print May 7 2002, 10. 1073/pnas. 092078899.
    [147] Helbing D. Agent-based simulation of traffic jam, crowds and supply networks[A]. In Proceeding of the IMA 'Hot Topics' Workshop, 1MA, Minneapolis, MN, 2003.
    [148] Barret C. Simulation sciences it relates to data/information fusion and C2 system, Briefing Slides, Los Alamos(1997).
    [149] Schreiber D. The emergence of parties: an agent-based simulation. http://www.bol.ucla.edu/~dschreib/EmergingParties/Emergenceparties6-24-01.pdf.
    [150] http://www.simworld.co.uk/.
    [151] Raney B, Nagel K. An agent-based simulation model of Swiss travel: first results [A]. 3rd Swiss Transport Research conference, March 19-21, 2003.
    [152] Epstein J M, Axtell R L. Growing artificial societies: social science from the bottom up[M]. MIT Press, Cambridge, MA, 1996.
    [153] Srbljinovic A, Penzar D, Rodik P, Kardov K. Agent-based modeling of ethnic mobilization: The Former Yugoslavia Case [A]. 1st LA Conference on Computational Social Science and Social Complexity: AB Modeling in Social Science, 2002.
    [154] Derek W B, Oliveira F S. Agent-based simulation: an application to the new electricity trading arrangements of England and Wales [J]. IEEE-TEC, special issue: Agent-Based Computational Economic, 2001.
    [155] Xuwei Chen. Agent-based simulation of evacuation strategies under different road network structures. http://www.ucgis.org/summerO3/studentpapers/xuweichen.pdf.
    [156]Pryor R J, Basu N, Quint T. Development of Aspen: a micro-analytic simulation model of the U.S. economy. SAND96-0434 Distribution. Unlimited Release Category UC-905. Sandia National Laboratories, 1996. http://www.sandia.gov
    [157] Basu N, Pryor R J. Growing a market economy. SAND-97-2093 Distribution. Unlimited Release Category UCD905. Sandia National Laboratories, 1997.
    [158] Dianne C.Barton. Aspen-EE: An agent-based model of infrastructure interdependency. Sandia report 2000.
    
    [159] Dianne C. Barton. Simulation economic effects of infrastructure in the telecommunications. Sandia Report 2004, http://www-aspen.cs.sandia.gov.
    [160] David A. Schoenwand, Dianne C Barton, Mark A. Ehlen. An agent-based simulation laboratory for economics and infrastructure interdependency. Sandia Report 2004, http://www-aspen.cs.sandia.gov.
    
    [161] 张世伟.基于主体的宏观经济微观模拟模型[J].财经科学,2004,1.
    
    [162] Arthur W B, Holland J H, LeBaron B, Palmer R G, Tayler P. In the economy as a complex evolving system II, Santa Fe Institute Studies in the Sciences of Complexity, eds, Arthur W B., Durlauf S, &Lane D. Addison-Wesley, Reading MA, Proceeding Vol. 27, pp.15-42, 1997
    [163] Arthur W B, Holland J H, LeBaron B, Pamler R G, Tayler P. Asset pricing under endogenous expectations in an artificial stock market, Santa Fe Institute Working Paper, 1996.
    [164] LeBaron B. Building the Santa Fe Artificial Stock Market. Working Paper of Santa Fe Institute, 2002
    [165] Johnson. What I learned from the Artificial Stock Market. Working paper of Santa Fe Institute, 2001.
    [166] Ehrentreich. A corrected version of the Santa Fe Institute artificial stock market model. Martin-Luther-University, Halle-Wittenberg, 2002.
    [167] Pringle, Tesfatsion. 1 evolution of Worker-Employer networks and behaviors under alternative non-employment benefits: an agent-based computational study, 2003.
    [168] Ormerod, Rosewell, Smith. An agent-based model of the evolution of market structure and competition. Volterra Consulting Ltd., 2001.
    
    [169] Impullitti, Rebmann. An agent-based model of wealth distribution. CEPA Working Paper 2002.
    [170] Tesfatsion L. Introdution to the JEDC special issue on Agent-based computational economics [J]. Journal of Economic Dynamics and Control, Vol.25, pp.281-193, 2001.
    [171] Standish R K. Complexity growth in artificial life, http://parallel.acsu.unsw.edu.au/rks.
    
    [172] Ray. An approach to the synthesis of life. Artificial Life-II, Addison-Wesley, 1991.
    [173] Railsback S. Complex adaptive system meets the real world: agent-based simulation for ecological management and research, http://math.humboldt.edu/-simsys/.
    [174] Dong Won Yi, Soung Hie Kim, Nak Hyun Kim. Combined modeling with multi-agent systems and simulation: its application to harbor supply chain management. Proceeding of the 35~(th) Hawaii International Conference on System Sciences, 2002.
    [175] Szirbik N, Wagner G, Tulba F. Agent-based modeling and simulation of distributed business processes in supply networks. The International Workshop on Modeling & Applied Simulation, MAS2003 Program.
    [176] Marcenac P. Emergence of earthquakes by multi-agent simulation. http://www.univ-reunion.fr/-geomas.
    [177] Marcenac P. Emergence of behaviors in natural phenomena agent-simulation [A]. In Proceedings of the Third International Conference on Complex Systems: From Local Interactions to Global Phenomena, Eds. R. Stocker, H. Jelinek, Bohdan Durnota and T. Bossomaier, 284-289, Albury, Australia, 1996.
    [178] http://www.santafe.edu
    [179] http://www.swarm.org.
    
    [180] http://www.trook.edu/es/dynamics/model/ascape.
    [181] http://repast.sourceforge.net/
    [182] Basu J, Pryor T Q, Arnold T. Aspen: A microsimulation model of economy. Sandia Report #SAND96-2459, Sandia National Laboratories, Albuquerque. NM, October 1996. http://www.sandia.gov.
    [183] Courdier R, Guerrin F, Andriamasinoro F H, Paillat J M. Agent-based simulation of complex systems: application to collective management of animal wastes [J]. Journal of Artificial Societies and Social Simulation, Vol.5, No.3.
    [184] Courier R, Marcenac P, Calderoni S. Zooming on a multi-agent simulation system: from the conceptual architecture to the interaction protocol. IREM1A, University of La Reunion.
    [185] Sloman A, Poli R. Sim_Agent: A toolkit for exploring agent designs. In Intelligent Agents-II: Agent Theories Architectures and Languages (AtAl-95), M. Wooldridge, J.Mueller and M. Tambe, Eds. New York: Springer-Verlag,1996, PP.392-407.
    [186] Baxter J W, Richard T H. Virtual battlefield simulation agents, experience with the Sim_Agent Toolkit. ftp://ftp.cs.bham.ac.Uk/pub/authors/B.S.Logan/AAAI-98/papers/baxter.ps.gz.
    [187] http://beagle.u-bordeaux4.fr/yildi/evolmod.html.

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