基于MCBA的舰艇编队NCO行为建模方法及其关键技术研究
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摘要
海军信息化作战研究需要有效的理论、方法和技术支持。仿真方法因其所具有的可重复性、低费效比已成为当前海军信息化作战研究的重要支撑技术,而与之相关的建模仿真理论、方法和技术研究也因此成为当前海军信息化作战研究相关支撑理论、方法和技术研究的一项主要内容。其中,海军作战兵力的行为建模、特别是舰艇编队的信息化作战行为建模研究,已成为基于仿真的海军信息化作战相关支撑理论、方法和技术研究的一项重要内容。
论文以海军信息化作战研究为应用背景,针对海军信息化作战研究关于舰艇编队网络中心作战(NCO)行为建模方法和技术的迫切需求,对海军战术NCO过程中的舰艇编队作战行为建模方法和关键技术进行了研究,具体内容包括:
(1)论文面向海军舰艇编队NCO行为建模方法和关键技术研究,在综合了相关观点和形式化定义的基础上,就行为相关概念给出了详细定义,并提出了复合行为Agent(CBA)的概念。在此基础上,针对海军舰艇编队NCO行为建模所面临的技术复杂性问题,基于“观察-判断-决定-行动”(OODA)回路和复合Agent(CA)的实现思想,提出了面向行为的多复合行为Agent(MCBA)建模方法论。
(2)论文针对面向行为的MCBA建模方法论关于NCO基本行为元素分析的方法需求,基于“物理-信息-认知-社会”(PICS)域所蕴含的问题分析思想,定义了面向网络化兵力NCO行为研究的“物理-信息-认知-组织”(PICO)域;并基于PICO域、改进OODA和网络中心战(NCW)基元,应用行为概念框架相关定义,分析定义了面向NCO行为分析的参考模型(BARM);在此基础上,定义了基于BARM的NCO行为分析方法。
(3)论文针对面向行为的MCBA建模方法论关于NCO行为内在执行机理分析的方法需求,在分析对比了相关并发行为形式化建模方法基础上,基于n演算扩展定义了面向NCO行为内在执行机理分析的形式化方法(π-EFM)。
(4)论文针对面向行为的MCBA建模方法论关于MCBA行为模型实现的方法需求,定义了基于XML的π-EFM模型描述语言(πDL),并以πDL为支撑手段,定义了基于π-EFM模型的行为Agent(BA)、CBA以及多复合行为Agent(MCBA)模型框架导出方法;在此基础上,定义了基于π-EFM的BA、CBA以及MCBA模型的Java代码框架生成方法。
(5)结合面向行为的MCBA建模方法论的实际应用需求,基于上述研究成果,应用Java语言实现了一个MCBA建模环境原型系统。作为验证,论文结合导弹快艇Swarming攻击舰艇编队的仿真案例,分析了论文理论、方法、关键技术和原型系统的可用性、可行性和有效性。
论文的主要创新包括:
(1)定义了面向行为建模研究的行为概念框架,提出了CBA的概念;在此基础上,针对海军舰艇编队NCO行为建模所面临的技术复杂性,提出了面向行为的MCBA建模方法论。
(2)定义了面向NCO行为分析的BARM,并在此基础上提出了基于BARM的NCO行为分析方法,该方法为海军舰艇编队NCO基本行为元素分析提供支持。
(3)提出了扩展π演算的NCO行为内在执行机理分析方法——π-EFM,该方法为海军舰艇编队NCO行为内在执行机理分析提供支持。
(4)定义了基于XML的π-EFM模型的描述语言—πDL,并在此基础上提出了基于π-EFM模型的舰艇编队NC0行为MCBA模型导出方法。
论文的研究属于军事仿真行为建模理论、方法和关键技术研究,对于基于仿真的海军信息化作战研究、面向信息化作战的海军武器装备仿真论证研究具有重要的意义。
The research on the naval information warfare urgently requires effective theory, method and technique. The simulation method, with its repeatability and lower cost -effectiveness, has become the main supporting technique for the current studies of the naval information warfare. The related M&S theory, method and technique researches have also become an important part of the relative technical studies of the naval information warfare. Among them, the research on modeling the behavior of the naval forces, especially the combat behavior of the naval fleet, has become the most important issue in the simulation-based researches of theories, methods, and techniques of the naval information warfare.
With the application background of the research on naval information warfare, the dissertation studies the methods and key techniques on modeling the network centric operation (NCO) behavior of the naval fleet in the process of the naval tactical NCO. The contents of the dissertation are as follows:
(1) According to the requirements of the methods and key techniques that are used to modeling the behavior of the naval fleet in the NCO, the dissertation defines a conceptual framework of behavior based on the relative viewpoints and formal definitions about behavior. Moreover, based on the idea of "Observe-Orient-Decide-Act"(OODA) model and "Composite Agent"(CA) model, the dissertation puts forward a behavior-oriented modeling methodology of multiple composite behavior agents (MCBA) to solve the problem of technical complexity in the behavioral modeling of the naval fleet in the NCO.
(2) In the light of the requirements of the method on the elementary behavior element analysis in the behavior-oriented modeling methodology of MCBA, the dissertation defines the domains of "Physical-Information-Cognitive-Organic" (PICO) based on the analysis idea contained in the definition of "Physical-Information-Cognitive-Social" (PICS) domain. Based on the PICO domain, the improved OODA and the network-centered warfare (NCW), the dissertation defines the behavior analysis reference model (BARM) by applying the conceptual framework of behavior defined above. Then a NCO behavior analysis method.is established based on BARM.
(3) In term of the requirements of the method on the intrinsic mechanism analysis of the NCO behavior in the behavior-oriented modeling methodology of MCBA, the dissertation defines the formal method by extending theπ-calculus (π-EFM) after comparing the relative formal modeling methods of concurrent behavior.
(4) According to the requirements of the method about modeling naval fleet based on MCBA in the behavior-oriented modeling methodology of MCBA, the dissertation gives the definition of theπ-EFM description language(πDL) based on XML. And withπDL, the dissertation defines the deriving method of the model about the behavior agents(BA), the composite behavior agent (CBA), and the multiple composite behavior agents(MCBA). Further, the dissertation defines the deriving method of the Java codes of the model of the BA, CBA, CBA and MCBA.
(5) With the practical application requirements of the behavior-oriented modeling methodology of MCBA, the dissertation gives a prototype system of the MCBA modeling environment based on the above analysis. The dissertation demonstrates the availability, feasibility and validity of the theory, methods, techniques and the prototype system described above by using the simulation case of missile fast boat attacking the fleet. The main innovations of the dissertation include as follows:
(1) It defines a conceptual frame of behavior, establishes the concept of CBA and puts forward the behavior-oriented modeling methodology of MCBA for the complex behavior modeling of the naval fleet in the process of NCO.
(2) It defines BARM and put forwards the analysis method of NCO based on BARM which can provide support to the analysis of the elementaryl behavioral elements of the the naval fleet in the process of NCO.
(3) It puts forward theπ-EFM, which supports the analysis of the intrinsic mechanism of the behavior of the naval fleet in the process of NCO.
(4) It defines theπDL, which provides an implementation method of the MCBA of the NCO behavior of the naval fleet.
The research of the dissertation belongs to the field of modeling theories, methods, and techniques for military simulation. It will shed light to the study of the naval information warfare.
论文以海军信息化作战研究为应用背景,针对海军信息化作战研究关于舰艇编队网络中心作战(NCO)行为建模方法和技术的迫切需求,对海军战术NCO过程中的舰艇编队作战行为建模方法和关键技术进行了研究,具体内容包括:
(1)论文面向海军舰艇编队NCO行为建模方法和关键技术研究,在综合了相关观点和形式化定义的基础上,就行为相关概念给出了详细定义,并提出了复合行为Agent(CBA)的概念。在此基础上,针对海军舰艇编队NCO行为建模所面临的技术复杂性问题,基于“观察-判断-决定-行动”(OODA)回路和复合Agent(CA)的实现思想,提出了面向行为的多复合行为Agent(MCBA)建模方法论。
(2)论文针对面向行为的MCBA建模方法论关于NCO基本行为元素分析的方法需求,基于“物理-信息-认知-社会”(PICS)域所蕴含的问题分析思想,定义了面向网络化兵力NCO行为研究的“物理-信息-认知-组织”(PICO)域;并基于PICO域、改进OODA和网络中心战(NCW)基元,应用行为概念框架相关定义,分析定义了面向NCO行为分析的参考模型(BARM);在此基础上,定义了基于BARM的NCO行为分析方法。
(3)论文针对面向行为的MCBA建模方法论关于NCO行为内在执行机理分析的方法需求,在分析对比了相关并发行为形式化建模方法基础上,基于n演算扩展定义了面向NCO行为内在执行机理分析的形式化方法(π-EFM)。
(4)论文针对面向行为的MCBA建模方法论关于MCBA行为模型实现的方法需求,定义了基于XML的π-EFM模型描述语言(πDL),并以πDL为支撑手段,定义了基于π-EFM模型的行为Agent(BA)、CBA以及多复合行为Agent(MCBA)模型框架导出方法;在此基础上,定义了基于π-EFM的BA、CBA以及MCBA模型的Java代码框架生成方法。
(5)结合面向行为的MCBA建模方法论的实际应用需求,基于上述研究成果,应用Java语言实现了一个MCBA建模环境原型系统。作为验证,论文结合导弹快艇Swarming攻击舰艇编队的仿真案例,分析了论文理论、方法、关键技术和原型系统的可用性、可行性和有效性。
论文的主要创新包括:
(1)定义了面向行为建模研究的行为概念框架,提出了CBA的概念;在此基础上,针对海军舰艇编队NCO行为建模所面临的技术复杂性,提出了面向行为的MCBA建模方法论。
(2)定义了面向NCO行为分析的BARM,并在此基础上提出了基于BARM的NCO行为分析方法,该方法为海军舰艇编队NCO基本行为元素分析提供支持。
(3)提出了扩展π演算的NCO行为内在执行机理分析方法——π-EFM,该方法为海军舰艇编队NCO行为内在执行机理分析提供支持。
(4)定义了基于XML的π-EFM模型的描述语言—πDL,并在此基础上提出了基于π-EFM模型的舰艇编队NC0行为MCBA模型导出方法。
论文的研究属于军事仿真行为建模理论、方法和关键技术研究,对于基于仿真的海军信息化作战研究、面向信息化作战的海军武器装备仿真论证研究具有重要的意义。
The research on the naval information warfare urgently requires effective theory, method and technique. The simulation method, with its repeatability and lower cost -effectiveness, has become the main supporting technique for the current studies of the naval information warfare. The related M&S theory, method and technique researches have also become an important part of the relative technical studies of the naval information warfare. Among them, the research on modeling the behavior of the naval forces, especially the combat behavior of the naval fleet, has become the most important issue in the simulation-based researches of theories, methods, and techniques of the naval information warfare.
With the application background of the research on naval information warfare, the dissertation studies the methods and key techniques on modeling the network centric operation (NCO) behavior of the naval fleet in the process of the naval tactical NCO. The contents of the dissertation are as follows:
(1) According to the requirements of the methods and key techniques that are used to modeling the behavior of the naval fleet in the NCO, the dissertation defines a conceptual framework of behavior based on the relative viewpoints and formal definitions about behavior. Moreover, based on the idea of "Observe-Orient-Decide-Act"(OODA) model and "Composite Agent"(CA) model, the dissertation puts forward a behavior-oriented modeling methodology of multiple composite behavior agents (MCBA) to solve the problem of technical complexity in the behavioral modeling of the naval fleet in the NCO.
(2) In the light of the requirements of the method on the elementary behavior element analysis in the behavior-oriented modeling methodology of MCBA, the dissertation defines the domains of "Physical-Information-Cognitive-Organic" (PICO) based on the analysis idea contained in the definition of "Physical-Information-Cognitive-Social" (PICS) domain. Based on the PICO domain, the improved OODA and the network-centered warfare (NCW), the dissertation defines the behavior analysis reference model (BARM) by applying the conceptual framework of behavior defined above. Then a NCO behavior analysis method.is established based on BARM.
(3) In term of the requirements of the method on the intrinsic mechanism analysis of the NCO behavior in the behavior-oriented modeling methodology of MCBA, the dissertation defines the formal method by extending theπ-calculus (π-EFM) after comparing the relative formal modeling methods of concurrent behavior.
(4) According to the requirements of the method about modeling naval fleet based on MCBA in the behavior-oriented modeling methodology of MCBA, the dissertation gives the definition of theπ-EFM description language(πDL) based on XML. And withπDL, the dissertation defines the deriving method of the model about the behavior agents(BA), the composite behavior agent (CBA), and the multiple composite behavior agents(MCBA). Further, the dissertation defines the deriving method of the Java codes of the model of the BA, CBA, CBA and MCBA.
(5) With the practical application requirements of the behavior-oriented modeling methodology of MCBA, the dissertation gives a prototype system of the MCBA modeling environment based on the above analysis. The dissertation demonstrates the availability, feasibility and validity of the theory, methods, techniques and the prototype system described above by using the simulation case of missile fast boat attacking the fleet. The main innovations of the dissertation include as follows:
(1) It defines a conceptual frame of behavior, establishes the concept of CBA and puts forward the behavior-oriented modeling methodology of MCBA for the complex behavior modeling of the naval fleet in the process of NCO.
(2) It defines BARM and put forwards the analysis method of NCO based on BARM which can provide support to the analysis of the elementaryl behavioral elements of the the naval fleet in the process of NCO.
(3) It puts forward theπ-EFM, which supports the analysis of the intrinsic mechanism of the behavior of the naval fleet in the process of NCO.
(4) It defines theπDL, which provides an implementation method of the MCBA of the NCO behavior of the naval fleet.
The research of the dissertation belongs to the field of modeling theories, methods, and techniques for military simulation. It will shed light to the study of the naval information warfare.
引文
[1]胡锦涛会见海军第十次党代会代表讲话[Z].2006.12.
[2]陆铭华.舰艇作战模拟理论与方法[M].海洋出版社,2000.
[3]DoD.Modeling and Simulation Master Plan[R].USA:DoD,Oct,1995.
[4]Defense Science Board(DSB).21th Century Strategic Technology Vectors Volume Ⅱ:Critical Capabilities and Enabling Technologies[R].Report of the DSB,Washington,D.C.,2007.
[5]W Pew,A S Mavor.Modeling Human and Organizational Behavior-Applications to Military Simulations[M].National Academy Press,Washington,DC.1998.
[6]Barry G Silverman,Jason Cornwel,Kevin O'Brien.Human Performance Simulation[A].In Ness J.W.,Ritzer D.R.,Tepe(Eds),Metrics and Methods in Human Performance Research toward Individual and Small Unit Simulation[C].Washington,DC:Human Systems Information Analysis Center,2003.
[7]James Moffat.Complexity Theory and Network Centric Warfare[M].Washington,DC:DoD CCRP,2003.
[8]Arthur K Cebrowski.Sea Change[J].Surface Warfare,USA:Navy,1997.
[9]Arthur K Cebrowski,John.l Garstka.Network Centric Warfare:Its Origin and Future[J].Proceedings of the Naval Institute,1998,124(1):232-235.
[10]DoD.FY2003:National Defense Reports[R].USA:DoD,2003.
[11]DoD.The Implementation of Network-Centric Warfare[R].The Report of DoD Office of Force Transformation,2005.
[12]D S Alberts.Information Age Transformation:Getting to a 21st Century Military[M].Washington,DC:CCRP,2002.
[13]D S Alberts,R E Hayes(Eds).Code of Best Practice Doe Experimentation[M].Washington,DC:CCRP Publications.2002.
[14]Richard E.Hayes.Network Centric Operations:Differences in Perspective[R].Report of MORS,2004.
[15]D S Alberts,John J Garstka,Richard E Hayes,D A Signori.Understanding Information Age Warfare[M].Washington,DC:DoD CCRP,2001.
[16]D S Alberts,John J Garstka,F P Stein.Network Centric Warfare:Developing and Leveraging Information Superiority(2nd Edition)[M].Washington,DC:DoD CCRP,1999.
[17]Office of Force Transformation,OSD,Network Centric Operations Conceptual Framework,Version 2.0(Draft)[R].Washington,DC:DoD OSD,2004,pp.24-25.
[18]M P Fewell,M G Hazen.Network-Centric Warfare:Its Nature and ModellIng[R].DSTO Report,Australia:DSTO,2003.
[19]M P Fewell,M G Hazen.Cognitive Issues in Modelling Network-Centric Command and Control[R].DSTO Report,Australia:DSTO,2005.
[20]Edward A Smith.Effects Based Operations:Applying Network Centric Warfare in Peace,Crisis,and War[M].Washington,DC:DoD CCRP,2002.
[21]Edward A Smith.Complexity,Networking,Effets-Based Approaches to Operations[M].Washington,DC:DoD CCRP,2006.
[22]Edward A.Smith,Anne-Marie Grisogono.Towards a Synthesis of Complex Adaptive Systems Theory and Effects Based Approaches to Operations Warfighters to Coalitions:A Case Study of Multi-level Adaptation in Effects-Based Operations[C].In Proceedings of the 11~(th) ICCRTS,DoD CCRP,2006.
[23]Anon.Force 2020,Vision statement of the Australian Defence Force[R].Australian DoD,2002.
[24]Y N Levchuk,K R Pattipati,D L Kleinman.Designing adaptive organizations to process a complex mission:algorithms and applications[C].In Proceedings of the 1998 CCRTS,DoD CCRP,1998.
[25]D S Alberts,R E Hayes.Power to the Edge:Command and Control in the Information Age[M].Washington,DC:DoD CCRP,2003.
[26]D S Alberts,R E Hayes.Understanding Command And Control[M].Washington,DC:DoD CCRP,2006.
[27]阳东升.C2组织的有效测度与设计研究[D].博士学位论文,国防科技大学,2004.
[28]修保欣.C2组织结构设计方法及其鲁棒性、适应性分析[D].博士学位论文,国防科技大学,2006.
[29]B J A van Bezooijen,P J M D Essens,A L W Vogelaar.Military Self-synchronization:An Exploration of the Concept[C].In Proceedings of the 11~(th) ICCRT,DoD CCRP,2006.
[30]David Lincourt,Hans Peukert.Towards Shared Awareness and Self-Synchronization in a Coalition Environment Coalition Interoperability[C].In Proceedings of the 11th ICCRTS,DoD CCRP,2006.
[31]K L Brandt,F R Richards.Joint Force Command & Control:Synchronization,Adaptation,and Coordination(SAC) Capability for Effects-Based Operations[C].In Proceedings of the 2002 CCRTS,DoD CCRP,2002.
[32]Robert Grossman-Vermaas.The Effects-based Concept,MNE 3 and NMOs:an Experimental Analysis[C].In Proceedings of the 9th ICCRTS,DoD CCRP,2004.
[33]David Noble.Knowledge Fotmdations of Effective Collaboration[C].In Proceedings of the 9~(th) ICCRTS,DoD CCRP,2004.
[34]刘杭军.联合机动编队指挥自动化系统结构及功能研究[D].硕士学位论文,海军指挥学院,1998.
[35]Vince Darley.Emergent Phenomena and Complexity[J].Artificial LIFE Ⅳ,1995.
[36]B Kean Sawhill.Self-Organized Criticality and Complexity Theory[Z].Lecture in Complex Systems,1993.
[37]A Ilachinski.Land Warfare and Complexity,Part Ⅰ[Z].CNA Memorandum CIM-461,1996.httpp.//www.can.org.
[38]A Ilachinski.Land Warfare and Complexity,Part Ⅱ[Z].CNA Memorandum CRM-68,1996.httpp.//www.can.org.
[39]Paul Bello,Mitch Mailman.Applications of Dynamic Systems Theory to Effects-Based Operations and Adversarial Modelling[C].In Proceedings of the 2004CCRTS,DoD CCRP,2004.
[40]Linda P.Beckerman.The Non-Linear Dynamics of War[EB/OL].Science Applications International Corporation,1999.httpp.//www.belisafius.com
[41]迟研.基于复杂适应系统理论的作战模型研究[D].博士学位论文,国防科技大学,2004.
[42]Georgiy M Levchuk,Michael Paley,Sarah Miescher,David Clark.Modeling,Simulation,and Experimentation for the Multi-sensor Command and Control Aircraft (MC2A)[C].In Proceedings of the 2004 CCRTS,DoD CCRP,2004.
[43]G Booth,J Rumbaugh,I Jacobson.The Unified Modeling Language User Guide[M].Addison-Wesley,1998.
[44]Jesfis Garcia-Molina,Ana Moreira,and Gustavo Rossi(Eds).UML and Model Engineering[M].The European Journal for the Informatics Professional,2004,5(2)
[45]J Rumbaugh,I Jacobson,G Booch.The Unified Modeling Language Reference Manual[M].Addison-Wesley,1999.
[46]吴晓华,余滨,陈洪辉.IDEF0与Petri网在C4ISR系统仿真建模中的应用[C].现代作战与军事运筹(军事运筹学学术会议论文集),2001,pp.470-477.
[47]陈禹六.IDEF建模分析与设计方法[M].北京:清华大学出版社,1998.
[48]F T Case,Nathan Koterba,Glenn Conrad,Jennifer Ockerman.An Instrumentation Capability for Dynamic Targeting[C].In Proceedings of the 2006 CCRTS,DoD CCRP,2006.
[49]John R Clymer.Optimizing Production Work Flow Using OPEMCSS[C].In Proceedings of the WSC 2000,IEEE,2000,pp.1305-1314.
[50]A E R.Woodcock,L Cobb,J T Dockery.Cellular Automata:A New Method for Battlefield Simulation[J].Signal,1988,pp.41-50.
[51]A E R Woodcock,L Cobb and J T Dockery.Models of Combat with Embedded C2:Cellular Automata[J].Int.CIS Journal,1989,3(3).
[52]John E.Hopcroft,Rajeev Motwani,Jeffrey D Ullman.Introduction to Automata Theory,Languages,and Computation(2rd Edition)[M].Boston MA:Addison Wesley,2000.
[53]Susan A Gugel,Dave R Pratt,Rafael A Smith.The Implementation of Multiple Behavioral Approaches in the CGF Test-bed[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[54]Lin Zhang,Brice Mitchell,Lucia Falzon,Mike Davies.Model-based Operational Planning Using Coloured Petri Nets[C].In Proceedings of the 6~(th) ICCRTS,DoD CCRP,2001.
[55]L W Wagenhals,I Shin,A H Levis.Creating Executable Models of Influence Nets with Colored Petri Nets[J].Intemationai Journal for Software Tools for Technology Transfer,Springer-Verlag,Berlin,1998,2(2):pp 168-181.
[56]Holly A.H.Handley and Alexander H.Levis.On Organizational Adaptation via Dynamic Process Selection[C].In Proceedings of the 5~(th) ICCRTS,DoD CCRP,2000.
[57]Juan de Lara,Hans Vangheluwe.Computer Aided Multi-Paradigm Modelling to Process Petri-Nets and Statecharts[C].In Proceedings of the First International Conference on Graph Transformation,2002:pp.239-253..
[58]朱雪阳,唐稚松.Statecharts的组合语义与求精[J].软件学报,Vol.17,No.4,April 2006,pp.670-681.
[59]L Schruben.Simulation Modeling with Event Graph[J].Communication ACM,1983,pp.957-963.
[60]Shengwei Ding,Jingang Yi.An Event Graph Based Simulation And Scheduling Analysis of Multi-Cluster Tools[C].In the Proceedings of the WSC 2004,IEEE,2004,pp.1915-1924.
[61]王维平.面向对象的多媒体仿真方法研究[D].博士学位论文,国防科技大学,1998.
[62]王维平,朱一凡,华雪倩,张汉江.离散事件系统建模与仿真[M].国防科技大学出版社.
[63]Paul A Fishwick.Simulation Model Design and Execution-Building Digital Worlds[M].Printice-Hall Press,1995.
[64]Wan Fokk/nk.Introduction to Process Algebra[M].Springer-Verlag,1999.
[65]R.Miiner.Communication and Concurrency[M].Prentice Hal1,1989.
[66]C A R Hoare,Communicating Sequential Processes[M].Prentice Ha11,1985.
[67]R Milner,J Parrow,D Walker.A calculus of mobile processes[J].Parts Ⅰ and Ⅱ,Journal of information and computation,1992,100:1-77.
[68]R Milner,The Polyadic n-Calculus:a Tutorial[J].in F.L.Bauer,W.Braueer,and H.Schwichtenberg(eds.),Logic and Algebra for Specification.Berlin: Springer-Verlag,1993,203-246.
[69]Jane Hillston,Marina Ribaudo.Stochastic Process Algebras a New Approach To Performance Modeling[A].In Jane Hillston,Marina Ribaudo,Stochastic Process Algebras[M],2000.
[70]Jane Hillston.A Compositional Approach to Performance Modeling[M].London:Cambridge University Press,1996.
[71]A S Rao,M P Georgeff.BDI Agents:From Theory to Practice[C].Proceedings of the 1~(st) International Conference on Multi-Agent Systems,San Francisco,1995.
[72]A S Rao,M P Georgeff.Formal Models and Decision Procedures for Multi-Agent Systens[R].Technical Report,Autralian Artificial Intelligence Institute,1995.
[73]史忠值.智能主体及其应用[M].北京:科学出版社,2000,pp.86-87.
[74]第二作者.基于PICS域划分的敏捷兵力行为分析、建模方法研究[J].系统仿真学报,已录用.
[75]第一作者.海军舰艇编队敏捷作战行为建模框架研究[J].舰船电子工程,已录用(2007.12发表).
[76]王维平,李群,朱一凡,杨峰.柔性仿真原理与应用[M].国防科技大学出版社,2003.
[77]Jeffrey A Joines,Stephen D Roberts.Fundamentals of Object-Oriented Simulation[C].In Proceedings of the WSC1998,IEEE,1998,pp.141-149.
[78]Jeffrey A Joines,Stephen D Roberts.An Introduction To Object-Oriented Simulation In C++[C].In Proceedings of the WSC 1997,IEEE,1997,pp.78-85.
[79]Franz Auinger,Markus Vorderwinkler,Georg Buchtela.Interface Driven Domain-Independent Modeling Architecture for "Soft-Commissioning" and "Reality In The Loop"[C].In Proceedings of the WSC 1999,IEEE,1999 pp.798-805.
[80]Manuel D.Rossetti,Ben Aylor,etc.SIMFONE:An Object-Oriented Simulation.Framework[C].In Proceedings of the WSC 2000,IEEE,2000,pp.1915-1924.
[81]Patie Maces.Designing Autonomous Agent,Theory and Practice From Biology to Engineering and Back[J].North-holland Robotic and Autonomous System,1990,4(6):56-65.
[82]C Hewitt,P Bishop,R Steiger.A Universal Modular Actor Formalism for Artificial Intelligence[C].Proc IJCAI'73,Stanford,California,1973,pp.235-245.
[83]M Wooldridge,N R Jennings.Intelligent agents:Theory and Practice[J].Knowledge Engineering,1995,10(2):115-152.
[84]M Wooldridge.An Introduction to MultiAgent Systems[M].John Wiley&Sons,Inc.2001.
[85]Lloyd P Brown.Agent Based Simulation as an Exploratory Tool in the Study of The Human Dimension of Combat[EB/OL].httpp.//www.can.org
[86]廖守亿,戴金海.复杂适应系统及基于Agem的建模与仿真方法[J].系统仿真学报,2004,16(1):113-117.
[87]P Marcenac.Emergence of Behaviors in Natural Phenomena Agent-Simulation[C].In Proceedings of the 3~(rd) ICCS,1996,pp.284-289.
[88]Joerg Wellbrink.Modeling Reduced Human Performance as a Complex Adaptive System[D].Dissertation,NPS,USA,2003.
[89]S French.Analyzing Projected Personnel Retention Utilizing Complex Adaptive Systems[D].Master's thesis,Naval Postgraduate School,Monterey,CA,2001.
[90]E Mert,E Jilson.Modeling Conventional Land Combat in a Multi-Agent System Using Generalization of the Different Combat Entities and Combat Operations[D].Master's thesis,NPS,USA,2001.
[91]1Lt Jason B.Honabarger.Modeling Network Centric Warfare(NCW) with the System Effectiveness Analysis Simulation(SEAS)[D].Master's thesis,Air Force Institutes,USA,2006.
[92]Anthony H.Dekker.Agility in Networked Military Systems:A Simulation Experiment[C].In Proceedings of the 1 lth ICCRT,DoD CCRP,2006.
[93]Ben P Wise,Mary McDonald,Lisa M Reuss,Jesse Aronson.ATM Human Behavior Modeling Approach Study[R].SAIC Reports,2001.
[94]John C Giordano,Paul F Reynolds,David C Brogan.Exploring The Constraints of Human Behavior Representation[C].In Proceedings of the WSC 2004,IEEE,2004,pp.912-920.
[95]Randolph M.Jones.An Introduction to Cognitive Architectures for Modeling and Simulation[C].In Proceedings of the I/ITSEC,2004.
[96]J E Laird,A Newell,P S Rosenbloom.Soar:An architecture for general intelligence[J].Artificial Intelligence,33(1),1-64.1987.
[97]Niels Taatgen,Christian Lebiere,John Anderson.Modeling Paradigms in ACT-R[A].in Ron Sun(Eds),Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation[M],Cambridge University Press,2006.
[98]Wayne W Zachary,Joan M Ryder,James H Hicinbothom.Cognitive Task Analysis and Modeling of Decision Making in Complex Environments[A].In J.Cannon-Bowers & E.Salas(Eds.),Decision making under stress:Implications for Training and Simulation[C].Washington,DC:American Psychological Association,1999.
[99]G Klein.A Recognition-Primed Decision(RPD) Model of Rapid Decision Making[A].In Klein,G,J.Orasanu,R.Calderwood,C.E.Zsambok(Eds),Decision Making in Action:Models and Methods[C].Ablex Publishing Corporation,Norwood,NJ,1993:pp 138-147.
[100]Maria Stropky,CMT Hogan,John Prince,etc.A Common Architecture for Behavior and Cognitive Modeling[C].In Proceedings of the 12~(th) BRIMS,SISO,2003.
[101]S M Hartzog,M R Salisbury.Command Sorces(CFOR) program status report[C].In Proceedings of the 6~(th) BRIMS,SISO,1996.
[102]Jonathan T.Beard.Cooperative Interface Agents for Networked Command,Control and Communications(CIANC3)[C].The 23~(rd) North American Soar Workshop.2003.
[103]Octavio Juarez-Espinosa,Cleotilde Gonzalez.Situation Awareness of Commanders:A Cognitive Model[C].In Proceedings of the 13~(th) BRIMS,SISO 2004.
[104]Karen Craig,Jeff Doyal,Bryan Brett.Development of a Hybrid Model of Tactical Fighter Pilot Behavior Using IMPRINT Task Network Modeling and the Adaptive Control of Thought-Rational(ACT-R)[C].In Proceedings of the 11~(th) ICCRT,DoD CCRP,2006.
[105]W Zachary,Ryder J Santarelli,M Weiland.Applications for Executable Cognitive Models:A Case Study Approach[C].In Proc.of the Human Factor & Ergonomics Soc 44~(th) Ann.Meeting,.Society:Santa Monica,CA.:HFES,2000.
[106]W Zachary.,J C Le Mentec,V Iordanov.CGF-COGNET:An Extended COGNET Framework for Human Performance Modeling and Computer Generated Force Behavioral Representation[R].Tech.Rpt 093000.9812.Springhouse,PA:CHI Systems,1998.
[107]Zsambok,C.E.Naturalistic Decision Making:Where are We now?[A]In Zsambok,C.E.and(2 Klein(Eds),Naturalistic Decision Making[M].Lawrence Erlbanm Associates,Publishers,Mahwah,N J,1997.pp 3-16.
[108]John Anthony Sokolowski.Modeling the Decision Process of A Joint Task Force Commander[D].Dr.Dissertation,Old Dominion University,2003.
[109]Keith O Hunter,William E Hart,Chris Forsythe.A Naturalistic Decision Making Model for Simulated Human Combatants[C].In Proceedings of the 9~(th) BRIMS,SISO,2000.
[110]John D Prince,Mafia E Stropky,H Rie Blacksten,etc.Developing an Agent-Based C2 Model for JWARS Air Planning[C].In Proceedings of the 13~(th) BRIMS,SISO,2004.
[111]D Kieras,S Wood,D Meyer.Predictive Engineering Models Based on EPIC Architecture for a Multimodal High-performance Human-computer Interaction Task[R].TR 95-NR-EPIC-4.Ann Arbor,MI:University of Michigan 1995.
[112]R B Calder,R L Carreiro,J N Panagos,etc.Architecture of a Command Forces Command Entity[C].In Proceedings of the 6~(th) BRIMS,SISO,1996.
[113]Deutsch S,et al.Operator Model Architecture[R].BBN Corporation:Cambridge,MA,1997.
[114]Robert J.Stemberg.Cognitive Psychology(3rd Edition)[M].Thomson Learning Press,2003.
[115]J Von Neumann,O Morgenstem.Theory of Games and Economic Behavior[M].Princeton University Press,Princeton,NJ,1953.
[116]Ralph L Keeney,Howard Raiffa.Decisions with Multiple Objectives:Preferences and Value Tradeoffs(2~(nd) Edition)[M].Cambridge,England:Cambridge University Press,1993.
[117]J M Bemardo,A F M Smith.Bayesian Theory[M].Chichester,UK:Wiley,1994.
[118]陈水利,李敬功,王向公.模糊集理论及其应用[M].科学出版社,2005.
[119]P Bross,J Prince,etc,Plan Building in JWARS[C].In Proceedings or the 11~(th) BRIMS,SISO,2002.
[120]John A Sokolowsld.Can a Composite Agent Be Used to Implement a Recognition-Primed Decision Model?[C]In Proceedings of the 11~(th) BRIMS,SISO,2002.
[121]Y Liang,F Robichaud,etc.Implementing a Naturalistic Command Agent Design[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[122]F F Ingrand,M P Georgeff,A S Rao.An Architecture for Real-time Reasoning and System Control[J].IEEE Expert,1992,7(6):33-44.
[123]D Leake.CBK in Context:The Present and Future[A].In Case-Based Reasoning:Experiences,Lessons,and Future Directions[C].Menlo Park:AAAT Press.1996.
[124]Judea Pearl.Probabilistic Reasoning in Intelligent Systems:Networks of Plausible Inference[M].Morgan Kauffrnan Publishers,San Mateo California,1988.
[125]Tolga Onel,Cem Ersoy.A Fuzzy Inference System For The Handoff Decision Algorithms in The Virtual Cell Layout Based Tactical Communication System.In Proceedings of the MILCOM,IEEE,2002..
[126]Lars Nodander.A Framework for Efficient Implementation of Context-Based Reasoning in Intelligent Simulation[D].Master's Thesis,ECE Dept.,University of Central Florida,Orlando,1999.
[127]E A Feigenbaum,J Feldman.(Eds.).Computers and Thought[M].New York:McGraw-Hill.1963.
[128]L G Valiant.A Theory of the Learnable[J].ACM Machine Learning,1984,27(11):1134-1142.
[129]L Brieman.Bagging Predicator[J].ACM Machine Learning,1996,24(2):123-140.
[130]Y Freund,R Schapire.A Short Introduction to Boosting[J].Japanese Society for Artificial Intelligence,1999,14(5):771-780.
[131]A.Newell,P S Rosenbloom.Mechanisms of Skill Acquisition and the Law of Practice[A].in J R Anderson,Eds.,Cognitive Skills and Their Acquisition[M],Erlbaum,Hillsdale,NJ,1981,pp.1-55.
[132]D Heckerman.A Tutorial on Learning with Bayesian Networks[A].In M.I.Jordan,Eds.Learning in Graphical Models[M],Kluwer,Dordrecht,1998.
[133]C M Bishop.Neural Networks for Pattern Recognition[M].New York:Oxford University Press,1995.
[134]R Sutton,A Barto.Reinforcement Learning:In Introduction[M].MIT Press,1998.
[135]R P Kern.A Conceptual Model of Behavior Under Stress With Implications for Combat Training Human Resources Research Office[R].Washington DC:George Washington University,1996.
[136]M K Lauren,R Y Stephen.Map-Aware Non-Uniform Automata(Mana)-A New Zealand Approach to Scenario Modelling[J].Journal of Battlefield Technology,2002,5(1).
[137]Deborah Vakas,John Prince,H.Ric Blacksten.Commander Behavior and Course of Action Selection in JWARS[C].In Proceedings of the WSC 2001,IEEE,2001,pp.697-705.
[138]Barry G.Silverman,Robert Might,etc.Toward A Human Behavior Models Anthology for Synthetic Agent Development[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[139]Eva Hudlicka,Greg Zacharias,Jerry Schweitzer.Individual and Group Behavior Determinants:inventory,Inferencing,and Applications[C].In Proceedings of the 11~(th)BRIMS,2002.
[140]Karen A Harper,Greg L Zacharia.Modeling Attention Allocation and Multitasking in Computational Human Behavior Representations[C].In Proceedings of the 11~(th)BRIMS,2002.
[141]Stacy Marsella,Jonathan Gratch.Modeling the Influence of Emotion on Belief for Virtual Training Simulations[C].In Proceedings of the 11~(th) BRIMS,2002.
[142]Stuart Russell,Peter Norvig.Aritificial Intelligence-A Modern Approach(2~(nd)Edition)[M].Prentice Hall Press,2003.
[143]J R Searle.Speech Acts:An Essay in the Philosophy of Language[J].CLIP,Cambridge,1969.
[144]T Finin,R Fritzson,D McKay,R McEntire.KQML as an Agent Communication Language[C].The Proceedings of the 3~(rd) ICIKM,1994.
[145]D Fensel,M A Musen.The Semantic Web[J].IEEE Intelligent Systems,2001,16(2):24-25.
[146]Y Labrou,T Finin,Y Peng.Agent Communication Languages:the Current landscape[J].IEEE Intelligent Systems,14(2),45-52.
[147]高振宇.基于黑板结构的多Agent系统通讯与协作方法的研究[D].硕士学位论文,哈尔滨工业大学,2003.
[148]R G Simith.The Contract-net Protocol:High-level Communication and Control in a Distributed Problem Ssolver[J].IEEE Transaction on Computers,1980,19(2):1104-1113.
[149]T Sandholm,V Lesser.Issues in Automated Negotiation and Electronic Commerce:Extending the Contract Net Framework[C].In Proceedings of 1~(st)ICMAS,San Francisco,CA,1995,pp.328-335.
[150]W F Lawless.Adversarial collaboration decision-making:An overview of social quantum information processing[C].In Proceedings of the 2002 CCRTS,DoD CCRP,2002.
[151]N R Jennings.Coordination Techniques for Distributed Artificial Intelligence[A].In:O'Hare G M P,N R Jenings,(Eds.) Foundation of Distribution Artificial Intelligence[M],John Willey & Sons,1996,pp.505-526.
[152]刘芳.基于过程本体的异质Agem协作技术研究[D].博士学位论文,国防科技大 学,2006.
[153]李晓萌.基于对策与强化学习的多智能体协作机制研究[D].博士学位论文,上海交通大学,2002.
[154]Milind M Datar.Enterprise Simulation:Framework for a Strategic Application[C].In Proceedings of the WSC 2000,IEEE,2000,pp.2010-1014.
[155]第二作者.复杂系统仿真的可组合问题研究综述[J].系统仿真学报,2007,19(8):1819-1823.
[156]A J Courtemanche,S Von Der Lippe,J McCormack.Developing User-Composable Behaviors[C].In Proceedings of FSIW,SISO,1997,.
[157]S Von Der Lippe,A J Courtemanche.Advances in the Execution Engine for Composable Behaviors[C].In Proceedings of the 8~(th) BRIMS,SISO,1999.
[158]Douglas A Reece,Jenifer McCormack,Jaclde Zhang.A Case-Based Reasoning Tool for Composing Behaviors for Computer Generated Forces[C].In Proceedings of the 13~(th) BRIMS,SISO,2004.
[159]S Von Der Lippe,J McCormack,H M Kalphat.Embracing Temporal Relations and Command and Control in Composable Behavior Technologies[C].In Proceedings of the 9~(th) BRIMS,SISO,2000.
[160]Joshua D Summers,Bruce M McLaren,David W Aha.Towards Applying Case-Based Reasoning to Composable Behavior Modeling[C].In Proceedings of the 2004BRIMS,SISO,2004.
[161]C Henderson,A Rodriguez.Modeling in OneSAF[C].In Proceedings of the 11t~BRIMS,SISO,2002.
[162]JTLS 3.2 Executive Overview[Z].R&A Corporation,2007.
[163]Joint Warfighting Center.Joint Conflict and Tactical Simulation(JCATS).US JFCOM,http://www.jfcom.mil/about/fact_jcats.htm.
[164]George F Stone,Gregory A McIntyre.The Joint Warfare System(JWARS):A Modeling and Analysis Tool for the Defense of Department[C].In Proceedings of the WSC,2001,IEEE,2001,pp.691-696.
[165]Colleen M Gagnon,William K Stevens.Naval Simulation System(NSS) Support to Fleet Battle Experiments[C].In Proceedings of the 4~(th) ICCRTS,DoD CCRP,1999.
[166]SPARTA Whitepaper.NESTOR:Network Centric Warfare Environment for System Testing and Operational Research[Z].SPARTA Inc,2006.
[167]David Heddle,Ray C.Prouty,Kurt Kalbus.Peer-To-Peer Discovery:A Key To Enabling Robust,Interoperable C2 Architectures[C].In Proceedings of the 2005CCRTS,DoD CCRP,2005.
[168]Jason B Honabarger.Modeling Network Centric Warfare(NCW) with the SEAS[D].MS Thesis.Air Force Institute of Technology,USA,2006.
[169]Gregory V DeStefano.Agent Based Simulation SEAS Evaluation of DoDAF Architecture[D].MS Thesis,Air Force Institute of Technology,USA,2004.
[170]US Marine Corps,Project Albert Website[Z].www.projectalbert.org
[171]Anthony H Dekker.Social Network Analysis in Military Headquarters using CAVALIER[C].In Proceedings of the 5~(th) ICCRTS,DoD CCRP,2000.
[172]Anthony H Dekker.Centralisation vs Self-Synchronisation:An Agent-Based Investigation[C].In Proceedings of the 11~(th) ICCRTS,DoD CCRP,2006.
[173]Danielle Martin.An Application of Agent Based Modeling in the Analysis of Communication Links in Network Centric Operations[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[174]Smart H Starr,Sarah Johnson.Assessing Options to Enhance Force Protection for Mobile Forces[C].In Proceedings of the 2004 CCRTS,:DoD CCRP,2004.
[175]James Moffat,Josephine Smith,Susan Witty.Emergent BehaviourTheory and Experimentation Using the MANA Model[C].In Proceedings of the 9~(th) ICCRTS,DoD CCRP,2004.
[176]李群.柔性仿真的理论与实践[D].博士学位论文,国防科技大学,1999.
[177]第三作者.海军武器装备体系战术仿真系统总体设计方案[R].SimSmart设计报告,2006.
[178]Boyd J.R.A Discourse on Winning and Losing[Z].Maxwell Air Force Base,AL:Air University Library Document No.M-U 43947(Briefing slides),1987.
[179]R.B.Polk.A Critique of the Boyd Theory:is it relevant to the Army?[J].Def.Anal.2000,16(2):57-76.
[180]E.A.Smith Jr.Network-Centric Warfare:What is the Point?[J],Nav.War Coll.Rev.2001,54(1) 59-75.
[181]P Essens.Human Factors Issues for Future Command[R].In Human Factors in the 21st Century,NATO report RTO-MP-077 AC/323(HFM-062)TP/38,paper 11.2002.
[182]J Hiles,M VanPutte,B Osborn,M J Zyda.Innovations in Computer Generated Autonomy[R].Tech Report,Naval Postgraduate School,USA,2001.
[183]M L Minsky.The Society of Mind[M].Simon and Schuster,New York,1986.
[184]J Hiles,M VanPutte,B Osborn.A Composite Agent Architecture for Multi-Agent Simulations[C].In Proceedings ofthellth BRIMS,SISO,2002.
[185]M VanPutte.A Computational Model and Multi-Agent Simulation of Information Assurance[D].Dissertation,NPS,USA,2002.
[186]顾士熙.现代汉语常用词用法词典[M].中国书籍出版社,2004.
[187]Sang Mah etc.,A ConstraintBased Reasoning Framework for Behavioural Animation[J].Computer Graphics Forum,1994,13(5):pp.315-324.
[188]Bernie Roehl.Distributed Virtual Reality:An Overview[C].In Proceedings of the Is~Svmoosium on Virtual Reality Modeling Language,ACM,1995,pp.39-43.
[189]郑援.虚拟世界行为建模技术的研究、实现与应用[D].博士学位论文,国防科技大学,1998.
[190]Hanqiu Sun,Hujun Bao,etc.Interactive Task Planning in Virtual Assemebly[C].I Proceedings of the ACM VRST,1999.
[191]Michael Luck,P M Onn Shehory,Steven Willmott.Agent Technology Roadmap-A Roadmap for Agent Based Computing[J].AgentLink Ⅲ,2005.
[192]邓宏钟.基于多智能体的整体建模仿真方法及其应用研究[D].国防科技大学博士学位论文.2002.
[193]Bemdt Brehmer.The Dynamic OODA Loopp.Amalgamating Boyd's OODA Loop and the Cybernetic Approach to Command and Control[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[194]Richard Breton,Robert Rousseau.THE C-OODA:A Cognitive Version of The OODA Loop To Represent C2 Activities[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[195]Boyd J R.An Essay on Winning and Losing[EB/OL].httpp.//www.d-n-i.net/fcs/ppt/boyds_ooda_loop.ppt,1996.
[196]E.Clarke,J.W'mg.Formal Methods:State of the Art and Future Directions[R].CMU Computer Science Technical Report(CMU-CS-96-178),1996.
[197]S.Pope,and A.Jφsang.Analysis of competing hypotheses using subjective logic[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[198]Abbas K.Zaidi,Lee W.Wagenhals,Sajjad Haider.Assessment of Effects-Based Operations Using Temporal Logic[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[199]Gianpaolo Cugola,Elisabetta Pinitto,Alfonso Fuggetta,Calo.A Framework for Formalizing Inconsistencies and Deviations in Human Centered System[J].ACM Transactions on Software Engineering and Methodology,New York:ACM,1996,5(3):191- 230.
[200]Albert C Esterline,Toinette Rorie.Using the π-Calculus to Model Multi-agent Systems[C].FAABS 2000,Greenbelt,MD:IEEE,2000,164-179.
[201]Julian Padget,Russell Bradford.A π-Calculus Model of A Spanish Fish Market-Preliminary Report[R].AMET-98,Springer-Verlag,1998,pp.166-188.
[202]第一作者.基于π演算的指挥决策行为形式化建模研究[J].系统仿真学报,2007,19(15):3609-3613.
[203]第一作者.一种基于π演算的行为建模形式化方法[J].系统工程理论与实践,已录用.
[204]W3C.Extensible Markup Language(XML) 1.0(second edition)[EB/OL].http://www.w3.org/TR/REC-xml.html,2000.
[205]W3C.XML Schema,Part Ⅰ,Ⅱ,Ⅲ[EB/OL].W3C Recommendation,http://www.w3.org/TR/2004.
[206]严蔚敏,吴伟民.数据结构(第二版)[M].清华大学出版社,1992.
[207]H.Penny Nii.Blackboard Systems:The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures[J].AI Magazine,1986,7(2):pp.38 - 53.
[208]Keith Decker.Blackboard Systems[J].IEEE Expert,October 1991,pp 71-72.
[209]Bruce Eckel.Thinking in Java[M].Prentice Hall Press,1998.
[210]M Lewis,J Jacobson.Game Engines in Scientific Research[J].Communications of the ACM,2002.
[211]G D Porter,G M Finbow,C G Pemin,R J Hadji.Future Force Development Concept[C].In Proceedings of the 2004 CCRTS,DoD CCRP,2004.
[212]S J A Edwards Swarming on the Battlefield:Past,Present and Future[R].Report.MR- 1100-OSD of the RAND Corporation,2001.
[213]J Arquilla,D Ronfeldt.Swarming and the future of conflict[R].Report.BD-311-OSD of the RAND Corporation,2000.
[214]S J A Edwards.Swarming and the Future of War[D].Dissertation,Pardee RAND Graduate School,2005.
[215]David Galligan,George Galdorisi,Peter Marland.Net Centric Maritime Warfare-Countering a 'Swarm' of Fast Inshore Attack Craft[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[216]R C Rubel.War-gaming Network-Centric Warfare[j].Nav.War Coll.Rev.2001,54(2),pp.61-74.
[217]G Kasten.Building a Beehive--Observations on the Transition to Network- Centric Operations[j].Nav.War Coll.Rev.2000,53(4):124-37.
[218]D Inbody,C Chattier,D DiPippa,B McDonald(Eds).Conf.Proc.Swarming:Network Enabled C4ISR[C].Joint C4ISR Decision Support Center,2003.
[219]张野鹏.作战模拟基础[M].北京:解放军出版社,1994.
[220]第一作者.空间区域划分的战场空间建模研究[J].火力与指挥控制,2007,32(8):20-23.
[221]第二作者.面向战役仿真的正六边形地形环境建模研究[J],小型微型计算机系统,已录用.
[222]第一作者.作战单元战场空间感知建模研究[J].系统仿真学报,已录用(2007.10发表)
[223]第一作者.支持决策行为量化研究的一种个性分析方法[J].系统工程学报,2007,22(4):373-378.
[224]张永生.反舰导弹突击强敌水面作战舰艇时火力运用问题研究[R].海军指挥学院报告,2001.
[225]郑锐.XXX型护卫舰对海攻击问题研究[D].硕士学位论文,海军指挥学院,2001.
[226]赵建军.XXX导弹战法试验平台研究[D].硕士学位论文,海军指挥学院,2003.
[227]Mark Hewish,Charles Gilson.Cleared for Take Off[J].Jane's navy International,2001,34(10).
[228]杨峰,周少平,陈超.1128体系对抗仿真模型研究报告[R].国防科技大学系统工程研究所系统仿真实验室,2003.
[2]陆铭华.舰艇作战模拟理论与方法[M].海洋出版社,2000.
[3]DoD.Modeling and Simulation Master Plan[R].USA:DoD,Oct,1995.
[4]Defense Science Board(DSB).21th Century Strategic Technology Vectors Volume Ⅱ:Critical Capabilities and Enabling Technologies[R].Report of the DSB,Washington,D.C.,2007.
[5]W Pew,A S Mavor.Modeling Human and Organizational Behavior-Applications to Military Simulations[M].National Academy Press,Washington,DC.1998.
[6]Barry G Silverman,Jason Cornwel,Kevin O'Brien.Human Performance Simulation[A].In Ness J.W.,Ritzer D.R.,Tepe(Eds),Metrics and Methods in Human Performance Research toward Individual and Small Unit Simulation[C].Washington,DC:Human Systems Information Analysis Center,2003.
[7]James Moffat.Complexity Theory and Network Centric Warfare[M].Washington,DC:DoD CCRP,2003.
[8]Arthur K Cebrowski.Sea Change[J].Surface Warfare,USA:Navy,1997.
[9]Arthur K Cebrowski,John.l Garstka.Network Centric Warfare:Its Origin and Future[J].Proceedings of the Naval Institute,1998,124(1):232-235.
[10]DoD.FY2003:National Defense Reports[R].USA:DoD,2003.
[11]DoD.The Implementation of Network-Centric Warfare[R].The Report of DoD Office of Force Transformation,2005.
[12]D S Alberts.Information Age Transformation:Getting to a 21st Century Military[M].Washington,DC:CCRP,2002.
[13]D S Alberts,R E Hayes(Eds).Code of Best Practice Doe Experimentation[M].Washington,DC:CCRP Publications.2002.
[14]Richard E.Hayes.Network Centric Operations:Differences in Perspective[R].Report of MORS,2004.
[15]D S Alberts,John J Garstka,Richard E Hayes,D A Signori.Understanding Information Age Warfare[M].Washington,DC:DoD CCRP,2001.
[16]D S Alberts,John J Garstka,F P Stein.Network Centric Warfare:Developing and Leveraging Information Superiority(2nd Edition)[M].Washington,DC:DoD CCRP,1999.
[17]Office of Force Transformation,OSD,Network Centric Operations Conceptual Framework,Version 2.0(Draft)[R].Washington,DC:DoD OSD,2004,pp.24-25.
[18]M P Fewell,M G Hazen.Network-Centric Warfare:Its Nature and ModellIng[R].DSTO Report,Australia:DSTO,2003.
[19]M P Fewell,M G Hazen.Cognitive Issues in Modelling Network-Centric Command and Control[R].DSTO Report,Australia:DSTO,2005.
[20]Edward A Smith.Effects Based Operations:Applying Network Centric Warfare in Peace,Crisis,and War[M].Washington,DC:DoD CCRP,2002.
[21]Edward A Smith.Complexity,Networking,Effets-Based Approaches to Operations[M].Washington,DC:DoD CCRP,2006.
[22]Edward A.Smith,Anne-Marie Grisogono.Towards a Synthesis of Complex Adaptive Systems Theory and Effects Based Approaches to Operations Warfighters to Coalitions:A Case Study of Multi-level Adaptation in Effects-Based Operations[C].In Proceedings of the 11~(th) ICCRTS,DoD CCRP,2006.
[23]Anon.Force 2020,Vision statement of the Australian Defence Force[R].Australian DoD,2002.
[24]Y N Levchuk,K R Pattipati,D L Kleinman.Designing adaptive organizations to process a complex mission:algorithms and applications[C].In Proceedings of the 1998 CCRTS,DoD CCRP,1998.
[25]D S Alberts,R E Hayes.Power to the Edge:Command and Control in the Information Age[M].Washington,DC:DoD CCRP,2003.
[26]D S Alberts,R E Hayes.Understanding Command And Control[M].Washington,DC:DoD CCRP,2006.
[27]阳东升.C2组织的有效测度与设计研究[D].博士学位论文,国防科技大学,2004.
[28]修保欣.C2组织结构设计方法及其鲁棒性、适应性分析[D].博士学位论文,国防科技大学,2006.
[29]B J A van Bezooijen,P J M D Essens,A L W Vogelaar.Military Self-synchronization:An Exploration of the Concept[C].In Proceedings of the 11~(th) ICCRT,DoD CCRP,2006.
[30]David Lincourt,Hans Peukert.Towards Shared Awareness and Self-Synchronization in a Coalition Environment Coalition Interoperability[C].In Proceedings of the 11th ICCRTS,DoD CCRP,2006.
[31]K L Brandt,F R Richards.Joint Force Command & Control:Synchronization,Adaptation,and Coordination(SAC) Capability for Effects-Based Operations[C].In Proceedings of the 2002 CCRTS,DoD CCRP,2002.
[32]Robert Grossman-Vermaas.The Effects-based Concept,MNE 3 and NMOs:an Experimental Analysis[C].In Proceedings of the 9th ICCRTS,DoD CCRP,2004.
[33]David Noble.Knowledge Fotmdations of Effective Collaboration[C].In Proceedings of the 9~(th) ICCRTS,DoD CCRP,2004.
[34]刘杭军.联合机动编队指挥自动化系统结构及功能研究[D].硕士学位论文,海军指挥学院,1998.
[35]Vince Darley.Emergent Phenomena and Complexity[J].Artificial LIFE Ⅳ,1995.
[36]B Kean Sawhill.Self-Organized Criticality and Complexity Theory[Z].Lecture in Complex Systems,1993.
[37]A Ilachinski.Land Warfare and Complexity,Part Ⅰ[Z].CNA Memorandum CIM-461,1996.httpp.//www.can.org.
[38]A Ilachinski.Land Warfare and Complexity,Part Ⅱ[Z].CNA Memorandum CRM-68,1996.httpp.//www.can.org.
[39]Paul Bello,Mitch Mailman.Applications of Dynamic Systems Theory to Effects-Based Operations and Adversarial Modelling[C].In Proceedings of the 2004CCRTS,DoD CCRP,2004.
[40]Linda P.Beckerman.The Non-Linear Dynamics of War[EB/OL].Science Applications International Corporation,1999.httpp.//www.belisafius.com
[41]迟研.基于复杂适应系统理论的作战模型研究[D].博士学位论文,国防科技大学,2004.
[42]Georgiy M Levchuk,Michael Paley,Sarah Miescher,David Clark.Modeling,Simulation,and Experimentation for the Multi-sensor Command and Control Aircraft (MC2A)[C].In Proceedings of the 2004 CCRTS,DoD CCRP,2004.
[43]G Booth,J Rumbaugh,I Jacobson.The Unified Modeling Language User Guide[M].Addison-Wesley,1998.
[44]Jesfis Garcia-Molina,Ana Moreira,and Gustavo Rossi(Eds).UML and Model Engineering[M].The European Journal for the Informatics Professional,2004,5(2)
[45]J Rumbaugh,I Jacobson,G Booch.The Unified Modeling Language Reference Manual[M].Addison-Wesley,1999.
[46]吴晓华,余滨,陈洪辉.IDEF0与Petri网在C4ISR系统仿真建模中的应用[C].现代作战与军事运筹(军事运筹学学术会议论文集),2001,pp.470-477.
[47]陈禹六.IDEF建模分析与设计方法[M].北京:清华大学出版社,1998.
[48]F T Case,Nathan Koterba,Glenn Conrad,Jennifer Ockerman.An Instrumentation Capability for Dynamic Targeting[C].In Proceedings of the 2006 CCRTS,DoD CCRP,2006.
[49]John R Clymer.Optimizing Production Work Flow Using OPEMCSS[C].In Proceedings of the WSC 2000,IEEE,2000,pp.1305-1314.
[50]A E R.Woodcock,L Cobb,J T Dockery.Cellular Automata:A New Method for Battlefield Simulation[J].Signal,1988,pp.41-50.
[51]A E R Woodcock,L Cobb and J T Dockery.Models of Combat with Embedded C2:Cellular Automata[J].Int.CIS Journal,1989,3(3).
[52]John E.Hopcroft,Rajeev Motwani,Jeffrey D Ullman.Introduction to Automata Theory,Languages,and Computation(2rd Edition)[M].Boston MA:Addison Wesley,2000.
[53]Susan A Gugel,Dave R Pratt,Rafael A Smith.The Implementation of Multiple Behavioral Approaches in the CGF Test-bed[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[54]Lin Zhang,Brice Mitchell,Lucia Falzon,Mike Davies.Model-based Operational Planning Using Coloured Petri Nets[C].In Proceedings of the 6~(th) ICCRTS,DoD CCRP,2001.
[55]L W Wagenhals,I Shin,A H Levis.Creating Executable Models of Influence Nets with Colored Petri Nets[J].Intemationai Journal for Software Tools for Technology Transfer,Springer-Verlag,Berlin,1998,2(2):pp 168-181.
[56]Holly A.H.Handley and Alexander H.Levis.On Organizational Adaptation via Dynamic Process Selection[C].In Proceedings of the 5~(th) ICCRTS,DoD CCRP,2000.
[57]Juan de Lara,Hans Vangheluwe.Computer Aided Multi-Paradigm Modelling to Process Petri-Nets and Statecharts[C].In Proceedings of the First International Conference on Graph Transformation,2002:pp.239-253..
[58]朱雪阳,唐稚松.Statecharts的组合语义与求精[J].软件学报,Vol.17,No.4,April 2006,pp.670-681.
[59]L Schruben.Simulation Modeling with Event Graph[J].Communication ACM,1983,pp.957-963.
[60]Shengwei Ding,Jingang Yi.An Event Graph Based Simulation And Scheduling Analysis of Multi-Cluster Tools[C].In the Proceedings of the WSC 2004,IEEE,2004,pp.1915-1924.
[61]王维平.面向对象的多媒体仿真方法研究[D].博士学位论文,国防科技大学,1998.
[62]王维平,朱一凡,华雪倩,张汉江.离散事件系统建模与仿真[M].国防科技大学出版社.
[63]Paul A Fishwick.Simulation Model Design and Execution-Building Digital Worlds[M].Printice-Hall Press,1995.
[64]Wan Fokk/nk.Introduction to Process Algebra[M].Springer-Verlag,1999.
[65]R.Miiner.Communication and Concurrency[M].Prentice Hal1,1989.
[66]C A R Hoare,Communicating Sequential Processes[M].Prentice Ha11,1985.
[67]R Milner,J Parrow,D Walker.A calculus of mobile processes[J].Parts Ⅰ and Ⅱ,Journal of information and computation,1992,100:1-77.
[68]R Milner,The Polyadic n-Calculus:a Tutorial[J].in F.L.Bauer,W.Braueer,and H.Schwichtenberg(eds.),Logic and Algebra for Specification.Berlin: Springer-Verlag,1993,203-246.
[69]Jane Hillston,Marina Ribaudo.Stochastic Process Algebras a New Approach To Performance Modeling[A].In Jane Hillston,Marina Ribaudo,Stochastic Process Algebras[M],2000.
[70]Jane Hillston.A Compositional Approach to Performance Modeling[M].London:Cambridge University Press,1996.
[71]A S Rao,M P Georgeff.BDI Agents:From Theory to Practice[C].Proceedings of the 1~(st) International Conference on Multi-Agent Systems,San Francisco,1995.
[72]A S Rao,M P Georgeff.Formal Models and Decision Procedures for Multi-Agent Systens[R].Technical Report,Autralian Artificial Intelligence Institute,1995.
[73]史忠值.智能主体及其应用[M].北京:科学出版社,2000,pp.86-87.
[74]第二作者.基于PICS域划分的敏捷兵力行为分析、建模方法研究[J].系统仿真学报,已录用.
[75]第一作者.海军舰艇编队敏捷作战行为建模框架研究[J].舰船电子工程,已录用(2007.12发表).
[76]王维平,李群,朱一凡,杨峰.柔性仿真原理与应用[M].国防科技大学出版社,2003.
[77]Jeffrey A Joines,Stephen D Roberts.Fundamentals of Object-Oriented Simulation[C].In Proceedings of the WSC1998,IEEE,1998,pp.141-149.
[78]Jeffrey A Joines,Stephen D Roberts.An Introduction To Object-Oriented Simulation In C++[C].In Proceedings of the WSC 1997,IEEE,1997,pp.78-85.
[79]Franz Auinger,Markus Vorderwinkler,Georg Buchtela.Interface Driven Domain-Independent Modeling Architecture for "Soft-Commissioning" and "Reality In The Loop"[C].In Proceedings of the WSC 1999,IEEE,1999 pp.798-805.
[80]Manuel D.Rossetti,Ben Aylor,etc.SIMFONE:An Object-Oriented Simulation.Framework[C].In Proceedings of the WSC 2000,IEEE,2000,pp.1915-1924.
[81]Patie Maces.Designing Autonomous Agent,Theory and Practice From Biology to Engineering and Back[J].North-holland Robotic and Autonomous System,1990,4(6):56-65.
[82]C Hewitt,P Bishop,R Steiger.A Universal Modular Actor Formalism for Artificial Intelligence[C].Proc IJCAI'73,Stanford,California,1973,pp.235-245.
[83]M Wooldridge,N R Jennings.Intelligent agents:Theory and Practice[J].Knowledge Engineering,1995,10(2):115-152.
[84]M Wooldridge.An Introduction to MultiAgent Systems[M].John Wiley&Sons,Inc.2001.
[85]Lloyd P Brown.Agent Based Simulation as an Exploratory Tool in the Study of The Human Dimension of Combat[EB/OL].httpp.//www.can.org
[86]廖守亿,戴金海.复杂适应系统及基于Agem的建模与仿真方法[J].系统仿真学报,2004,16(1):113-117.
[87]P Marcenac.Emergence of Behaviors in Natural Phenomena Agent-Simulation[C].In Proceedings of the 3~(rd) ICCS,1996,pp.284-289.
[88]Joerg Wellbrink.Modeling Reduced Human Performance as a Complex Adaptive System[D].Dissertation,NPS,USA,2003.
[89]S French.Analyzing Projected Personnel Retention Utilizing Complex Adaptive Systems[D].Master's thesis,Naval Postgraduate School,Monterey,CA,2001.
[90]E Mert,E Jilson.Modeling Conventional Land Combat in a Multi-Agent System Using Generalization of the Different Combat Entities and Combat Operations[D].Master's thesis,NPS,USA,2001.
[91]1Lt Jason B.Honabarger.Modeling Network Centric Warfare(NCW) with the System Effectiveness Analysis Simulation(SEAS)[D].Master's thesis,Air Force Institutes,USA,2006.
[92]Anthony H.Dekker.Agility in Networked Military Systems:A Simulation Experiment[C].In Proceedings of the 1 lth ICCRT,DoD CCRP,2006.
[93]Ben P Wise,Mary McDonald,Lisa M Reuss,Jesse Aronson.ATM Human Behavior Modeling Approach Study[R].SAIC Reports,2001.
[94]John C Giordano,Paul F Reynolds,David C Brogan.Exploring The Constraints of Human Behavior Representation[C].In Proceedings of the WSC 2004,IEEE,2004,pp.912-920.
[95]Randolph M.Jones.An Introduction to Cognitive Architectures for Modeling and Simulation[C].In Proceedings of the I/ITSEC,2004.
[96]J E Laird,A Newell,P S Rosenbloom.Soar:An architecture for general intelligence[J].Artificial Intelligence,33(1),1-64.1987.
[97]Niels Taatgen,Christian Lebiere,John Anderson.Modeling Paradigms in ACT-R[A].in Ron Sun(Eds),Cognition and Multi-Agent Interaction From Cognitive Modeling to Social Simulation[M],Cambridge University Press,2006.
[98]Wayne W Zachary,Joan M Ryder,James H Hicinbothom.Cognitive Task Analysis and Modeling of Decision Making in Complex Environments[A].In J.Cannon-Bowers & E.Salas(Eds.),Decision making under stress:Implications for Training and Simulation[C].Washington,DC:American Psychological Association,1999.
[99]G Klein.A Recognition-Primed Decision(RPD) Model of Rapid Decision Making[A].In Klein,G,J.Orasanu,R.Calderwood,C.E.Zsambok(Eds),Decision Making in Action:Models and Methods[C].Ablex Publishing Corporation,Norwood,NJ,1993:pp 138-147.
[100]Maria Stropky,CMT Hogan,John Prince,etc.A Common Architecture for Behavior and Cognitive Modeling[C].In Proceedings of the 12~(th) BRIMS,SISO,2003.
[101]S M Hartzog,M R Salisbury.Command Sorces(CFOR) program status report[C].In Proceedings of the 6~(th) BRIMS,SISO,1996.
[102]Jonathan T.Beard.Cooperative Interface Agents for Networked Command,Control and Communications(CIANC3)[C].The 23~(rd) North American Soar Workshop.2003.
[103]Octavio Juarez-Espinosa,Cleotilde Gonzalez.Situation Awareness of Commanders:A Cognitive Model[C].In Proceedings of the 13~(th) BRIMS,SISO 2004.
[104]Karen Craig,Jeff Doyal,Bryan Brett.Development of a Hybrid Model of Tactical Fighter Pilot Behavior Using IMPRINT Task Network Modeling and the Adaptive Control of Thought-Rational(ACT-R)[C].In Proceedings of the 11~(th) ICCRT,DoD CCRP,2006.
[105]W Zachary,Ryder J Santarelli,M Weiland.Applications for Executable Cognitive Models:A Case Study Approach[C].In Proc.of the Human Factor & Ergonomics Soc 44~(th) Ann.Meeting,.Society:Santa Monica,CA.:HFES,2000.
[106]W Zachary.,J C Le Mentec,V Iordanov.CGF-COGNET:An Extended COGNET Framework for Human Performance Modeling and Computer Generated Force Behavioral Representation[R].Tech.Rpt 093000.9812.Springhouse,PA:CHI Systems,1998.
[107]Zsambok,C.E.Naturalistic Decision Making:Where are We now?[A]In Zsambok,C.E.and(2 Klein(Eds),Naturalistic Decision Making[M].Lawrence Erlbanm Associates,Publishers,Mahwah,N J,1997.pp 3-16.
[108]John Anthony Sokolowski.Modeling the Decision Process of A Joint Task Force Commander[D].Dr.Dissertation,Old Dominion University,2003.
[109]Keith O Hunter,William E Hart,Chris Forsythe.A Naturalistic Decision Making Model for Simulated Human Combatants[C].In Proceedings of the 9~(th) BRIMS,SISO,2000.
[110]John D Prince,Mafia E Stropky,H Rie Blacksten,etc.Developing an Agent-Based C2 Model for JWARS Air Planning[C].In Proceedings of the 13~(th) BRIMS,SISO,2004.
[111]D Kieras,S Wood,D Meyer.Predictive Engineering Models Based on EPIC Architecture for a Multimodal High-performance Human-computer Interaction Task[R].TR 95-NR-EPIC-4.Ann Arbor,MI:University of Michigan 1995.
[112]R B Calder,R L Carreiro,J N Panagos,etc.Architecture of a Command Forces Command Entity[C].In Proceedings of the 6~(th) BRIMS,SISO,1996.
[113]Deutsch S,et al.Operator Model Architecture[R].BBN Corporation:Cambridge,MA,1997.
[114]Robert J.Stemberg.Cognitive Psychology(3rd Edition)[M].Thomson Learning Press,2003.
[115]J Von Neumann,O Morgenstem.Theory of Games and Economic Behavior[M].Princeton University Press,Princeton,NJ,1953.
[116]Ralph L Keeney,Howard Raiffa.Decisions with Multiple Objectives:Preferences and Value Tradeoffs(2~(nd) Edition)[M].Cambridge,England:Cambridge University Press,1993.
[117]J M Bemardo,A F M Smith.Bayesian Theory[M].Chichester,UK:Wiley,1994.
[118]陈水利,李敬功,王向公.模糊集理论及其应用[M].科学出版社,2005.
[119]P Bross,J Prince,etc,Plan Building in JWARS[C].In Proceedings or the 11~(th) BRIMS,SISO,2002.
[120]John A Sokolowsld.Can a Composite Agent Be Used to Implement a Recognition-Primed Decision Model?[C]In Proceedings of the 11~(th) BRIMS,SISO,2002.
[121]Y Liang,F Robichaud,etc.Implementing a Naturalistic Command Agent Design[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[122]F F Ingrand,M P Georgeff,A S Rao.An Architecture for Real-time Reasoning and System Control[J].IEEE Expert,1992,7(6):33-44.
[123]D Leake.CBK in Context:The Present and Future[A].In Case-Based Reasoning:Experiences,Lessons,and Future Directions[C].Menlo Park:AAAT Press.1996.
[124]Judea Pearl.Probabilistic Reasoning in Intelligent Systems:Networks of Plausible Inference[M].Morgan Kauffrnan Publishers,San Mateo California,1988.
[125]Tolga Onel,Cem Ersoy.A Fuzzy Inference System For The Handoff Decision Algorithms in The Virtual Cell Layout Based Tactical Communication System.In Proceedings of the MILCOM,IEEE,2002..
[126]Lars Nodander.A Framework for Efficient Implementation of Context-Based Reasoning in Intelligent Simulation[D].Master's Thesis,ECE Dept.,University of Central Florida,Orlando,1999.
[127]E A Feigenbaum,J Feldman.(Eds.).Computers and Thought[M].New York:McGraw-Hill.1963.
[128]L G Valiant.A Theory of the Learnable[J].ACM Machine Learning,1984,27(11):1134-1142.
[129]L Brieman.Bagging Predicator[J].ACM Machine Learning,1996,24(2):123-140.
[130]Y Freund,R Schapire.A Short Introduction to Boosting[J].Japanese Society for Artificial Intelligence,1999,14(5):771-780.
[131]A.Newell,P S Rosenbloom.Mechanisms of Skill Acquisition and the Law of Practice[A].in J R Anderson,Eds.,Cognitive Skills and Their Acquisition[M],Erlbaum,Hillsdale,NJ,1981,pp.1-55.
[132]D Heckerman.A Tutorial on Learning with Bayesian Networks[A].In M.I.Jordan,Eds.Learning in Graphical Models[M],Kluwer,Dordrecht,1998.
[133]C M Bishop.Neural Networks for Pattern Recognition[M].New York:Oxford University Press,1995.
[134]R Sutton,A Barto.Reinforcement Learning:In Introduction[M].MIT Press,1998.
[135]R P Kern.A Conceptual Model of Behavior Under Stress With Implications for Combat Training Human Resources Research Office[R].Washington DC:George Washington University,1996.
[136]M K Lauren,R Y Stephen.Map-Aware Non-Uniform Automata(Mana)-A New Zealand Approach to Scenario Modelling[J].Journal of Battlefield Technology,2002,5(1).
[137]Deborah Vakas,John Prince,H.Ric Blacksten.Commander Behavior and Course of Action Selection in JWARS[C].In Proceedings of the WSC 2001,IEEE,2001,pp.697-705.
[138]Barry G.Silverman,Robert Might,etc.Toward A Human Behavior Models Anthology for Synthetic Agent Development[C].In Proceedings of the 10~(th) BRIMS,SISO,2001.
[139]Eva Hudlicka,Greg Zacharias,Jerry Schweitzer.Individual and Group Behavior Determinants:inventory,Inferencing,and Applications[C].In Proceedings of the 11~(th)BRIMS,2002.
[140]Karen A Harper,Greg L Zacharia.Modeling Attention Allocation and Multitasking in Computational Human Behavior Representations[C].In Proceedings of the 11~(th)BRIMS,2002.
[141]Stacy Marsella,Jonathan Gratch.Modeling the Influence of Emotion on Belief for Virtual Training Simulations[C].In Proceedings of the 11~(th) BRIMS,2002.
[142]Stuart Russell,Peter Norvig.Aritificial Intelligence-A Modern Approach(2~(nd)Edition)[M].Prentice Hall Press,2003.
[143]J R Searle.Speech Acts:An Essay in the Philosophy of Language[J].CLIP,Cambridge,1969.
[144]T Finin,R Fritzson,D McKay,R McEntire.KQML as an Agent Communication Language[C].The Proceedings of the 3~(rd) ICIKM,1994.
[145]D Fensel,M A Musen.The Semantic Web[J].IEEE Intelligent Systems,2001,16(2):24-25.
[146]Y Labrou,T Finin,Y Peng.Agent Communication Languages:the Current landscape[J].IEEE Intelligent Systems,14(2),45-52.
[147]高振宇.基于黑板结构的多Agent系统通讯与协作方法的研究[D].硕士学位论文,哈尔滨工业大学,2003.
[148]R G Simith.The Contract-net Protocol:High-level Communication and Control in a Distributed Problem Ssolver[J].IEEE Transaction on Computers,1980,19(2):1104-1113.
[149]T Sandholm,V Lesser.Issues in Automated Negotiation and Electronic Commerce:Extending the Contract Net Framework[C].In Proceedings of 1~(st)ICMAS,San Francisco,CA,1995,pp.328-335.
[150]W F Lawless.Adversarial collaboration decision-making:An overview of social quantum information processing[C].In Proceedings of the 2002 CCRTS,DoD CCRP,2002.
[151]N R Jennings.Coordination Techniques for Distributed Artificial Intelligence[A].In:O'Hare G M P,N R Jenings,(Eds.) Foundation of Distribution Artificial Intelligence[M],John Willey & Sons,1996,pp.505-526.
[152]刘芳.基于过程本体的异质Agem协作技术研究[D].博士学位论文,国防科技大 学,2006.
[153]李晓萌.基于对策与强化学习的多智能体协作机制研究[D].博士学位论文,上海交通大学,2002.
[154]Milind M Datar.Enterprise Simulation:Framework for a Strategic Application[C].In Proceedings of the WSC 2000,IEEE,2000,pp.2010-1014.
[155]第二作者.复杂系统仿真的可组合问题研究综述[J].系统仿真学报,2007,19(8):1819-1823.
[156]A J Courtemanche,S Von Der Lippe,J McCormack.Developing User-Composable Behaviors[C].In Proceedings of FSIW,SISO,1997,.
[157]S Von Der Lippe,A J Courtemanche.Advances in the Execution Engine for Composable Behaviors[C].In Proceedings of the 8~(th) BRIMS,SISO,1999.
[158]Douglas A Reece,Jenifer McCormack,Jaclde Zhang.A Case-Based Reasoning Tool for Composing Behaviors for Computer Generated Forces[C].In Proceedings of the 13~(th) BRIMS,SISO,2004.
[159]S Von Der Lippe,J McCormack,H M Kalphat.Embracing Temporal Relations and Command and Control in Composable Behavior Technologies[C].In Proceedings of the 9~(th) BRIMS,SISO,2000.
[160]Joshua D Summers,Bruce M McLaren,David W Aha.Towards Applying Case-Based Reasoning to Composable Behavior Modeling[C].In Proceedings of the 2004BRIMS,SISO,2004.
[161]C Henderson,A Rodriguez.Modeling in OneSAF[C].In Proceedings of the 11t~BRIMS,SISO,2002.
[162]JTLS 3.2 Executive Overview[Z].R&A Corporation,2007.
[163]Joint Warfighting Center.Joint Conflict and Tactical Simulation(JCATS).US JFCOM,http://www.jfcom.mil/about/fact_jcats.htm.
[164]George F Stone,Gregory A McIntyre.The Joint Warfare System(JWARS):A Modeling and Analysis Tool for the Defense of Department[C].In Proceedings of the WSC,2001,IEEE,2001,pp.691-696.
[165]Colleen M Gagnon,William K Stevens.Naval Simulation System(NSS) Support to Fleet Battle Experiments[C].In Proceedings of the 4~(th) ICCRTS,DoD CCRP,1999.
[166]SPARTA Whitepaper.NESTOR:Network Centric Warfare Environment for System Testing and Operational Research[Z].SPARTA Inc,2006.
[167]David Heddle,Ray C.Prouty,Kurt Kalbus.Peer-To-Peer Discovery:A Key To Enabling Robust,Interoperable C2 Architectures[C].In Proceedings of the 2005CCRTS,DoD CCRP,2005.
[168]Jason B Honabarger.Modeling Network Centric Warfare(NCW) with the SEAS[D].MS Thesis.Air Force Institute of Technology,USA,2006.
[169]Gregory V DeStefano.Agent Based Simulation SEAS Evaluation of DoDAF Architecture[D].MS Thesis,Air Force Institute of Technology,USA,2004.
[170]US Marine Corps,Project Albert Website[Z].www.projectalbert.org
[171]Anthony H Dekker.Social Network Analysis in Military Headquarters using CAVALIER[C].In Proceedings of the 5~(th) ICCRTS,DoD CCRP,2000.
[172]Anthony H Dekker.Centralisation vs Self-Synchronisation:An Agent-Based Investigation[C].In Proceedings of the 11~(th) ICCRTS,DoD CCRP,2006.
[173]Danielle Martin.An Application of Agent Based Modeling in the Analysis of Communication Links in Network Centric Operations[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[174]Smart H Starr,Sarah Johnson.Assessing Options to Enhance Force Protection for Mobile Forces[C].In Proceedings of the 2004 CCRTS,:DoD CCRP,2004.
[175]James Moffat,Josephine Smith,Susan Witty.Emergent BehaviourTheory and Experimentation Using the MANA Model[C].In Proceedings of the 9~(th) ICCRTS,DoD CCRP,2004.
[176]李群.柔性仿真的理论与实践[D].博士学位论文,国防科技大学,1999.
[177]第三作者.海军武器装备体系战术仿真系统总体设计方案[R].SimSmart设计报告,2006.
[178]Boyd J.R.A Discourse on Winning and Losing[Z].Maxwell Air Force Base,AL:Air University Library Document No.M-U 43947(Briefing slides),1987.
[179]R.B.Polk.A Critique of the Boyd Theory:is it relevant to the Army?[J].Def.Anal.2000,16(2):57-76.
[180]E.A.Smith Jr.Network-Centric Warfare:What is the Point?[J],Nav.War Coll.Rev.2001,54(1) 59-75.
[181]P Essens.Human Factors Issues for Future Command[R].In Human Factors in the 21st Century,NATO report RTO-MP-077 AC/323(HFM-062)TP/38,paper 11.2002.
[182]J Hiles,M VanPutte,B Osborn,M J Zyda.Innovations in Computer Generated Autonomy[R].Tech Report,Naval Postgraduate School,USA,2001.
[183]M L Minsky.The Society of Mind[M].Simon and Schuster,New York,1986.
[184]J Hiles,M VanPutte,B Osborn.A Composite Agent Architecture for Multi-Agent Simulations[C].In Proceedings ofthellth BRIMS,SISO,2002.
[185]M VanPutte.A Computational Model and Multi-Agent Simulation of Information Assurance[D].Dissertation,NPS,USA,2002.
[186]顾士熙.现代汉语常用词用法词典[M].中国书籍出版社,2004.
[187]Sang Mah etc.,A ConstraintBased Reasoning Framework for Behavioural Animation[J].Computer Graphics Forum,1994,13(5):pp.315-324.
[188]Bernie Roehl.Distributed Virtual Reality:An Overview[C].In Proceedings of the Is~Svmoosium on Virtual Reality Modeling Language,ACM,1995,pp.39-43.
[189]郑援.虚拟世界行为建模技术的研究、实现与应用[D].博士学位论文,国防科技大学,1998.
[190]Hanqiu Sun,Hujun Bao,etc.Interactive Task Planning in Virtual Assemebly[C].I Proceedings of the ACM VRST,1999.
[191]Michael Luck,P M Onn Shehory,Steven Willmott.Agent Technology Roadmap-A Roadmap for Agent Based Computing[J].AgentLink Ⅲ,2005.
[192]邓宏钟.基于多智能体的整体建模仿真方法及其应用研究[D].国防科技大学博士学位论文.2002.
[193]Bemdt Brehmer.The Dynamic OODA Loopp.Amalgamating Boyd's OODA Loop and the Cybernetic Approach to Command and Control[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[194]Richard Breton,Robert Rousseau.THE C-OODA:A Cognitive Version of The OODA Loop To Represent C2 Activities[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[195]Boyd J R.An Essay on Winning and Losing[EB/OL].httpp.//www.d-n-i.net/fcs/ppt/boyds_ooda_loop.ppt,1996.
[196]E.Clarke,J.W'mg.Formal Methods:State of the Art and Future Directions[R].CMU Computer Science Technical Report(CMU-CS-96-178),1996.
[197]S.Pope,and A.Jφsang.Analysis of competing hypotheses using subjective logic[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[198]Abbas K.Zaidi,Lee W.Wagenhals,Sajjad Haider.Assessment of Effects-Based Operations Using Temporal Logic[C].In Proceedings of the 10~(th) ICCRTS,DoD CCRP,2005.
[199]Gianpaolo Cugola,Elisabetta Pinitto,Alfonso Fuggetta,Calo.A Framework for Formalizing Inconsistencies and Deviations in Human Centered System[J].ACM Transactions on Software Engineering and Methodology,New York:ACM,1996,5(3):191- 230.
[200]Albert C Esterline,Toinette Rorie.Using the π-Calculus to Model Multi-agent Systems[C].FAABS 2000,Greenbelt,MD:IEEE,2000,164-179.
[201]Julian Padget,Russell Bradford.A π-Calculus Model of A Spanish Fish Market-Preliminary Report[R].AMET-98,Springer-Verlag,1998,pp.166-188.
[202]第一作者.基于π演算的指挥决策行为形式化建模研究[J].系统仿真学报,2007,19(15):3609-3613.
[203]第一作者.一种基于π演算的行为建模形式化方法[J].系统工程理论与实践,已录用.
[204]W3C.Extensible Markup Language(XML) 1.0(second edition)[EB/OL].http://www.w3.org/TR/REC-xml.html,2000.
[205]W3C.XML Schema,Part Ⅰ,Ⅱ,Ⅲ[EB/OL].W3C Recommendation,http://www.w3.org/TR/2004.
[206]严蔚敏,吴伟民.数据结构(第二版)[M].清华大学出版社,1992.
[207]H.Penny Nii.Blackboard Systems:The Blackboard Model of Problem Solving and the Evolution of Blackboard Architectures[J].AI Magazine,1986,7(2):pp.38 - 53.
[208]Keith Decker.Blackboard Systems[J].IEEE Expert,October 1991,pp 71-72.
[209]Bruce Eckel.Thinking in Java[M].Prentice Hall Press,1998.
[210]M Lewis,J Jacobson.Game Engines in Scientific Research[J].Communications of the ACM,2002.
[211]G D Porter,G M Finbow,C G Pemin,R J Hadji.Future Force Development Concept[C].In Proceedings of the 2004 CCRTS,DoD CCRP,2004.
[212]S J A Edwards Swarming on the Battlefield:Past,Present and Future[R].Report.MR- 1100-OSD of the RAND Corporation,2001.
[213]J Arquilla,D Ronfeldt.Swarming and the future of conflict[R].Report.BD-311-OSD of the RAND Corporation,2000.
[214]S J A Edwards.Swarming and the Future of War[D].Dissertation,Pardee RAND Graduate School,2005.
[215]David Galligan,George Galdorisi,Peter Marland.Net Centric Maritime Warfare-Countering a 'Swarm' of Fast Inshore Attack Craft[C].In Proceedings of the 10~(th)ICCRTS,DoD CCRP,2005.
[216]R C Rubel.War-gaming Network-Centric Warfare[j].Nav.War Coll.Rev.2001,54(2),pp.61-74.
[217]G Kasten.Building a Beehive--Observations on the Transition to Network- Centric Operations[j].Nav.War Coll.Rev.2000,53(4):124-37.
[218]D Inbody,C Chattier,D DiPippa,B McDonald(Eds).Conf.Proc.Swarming:Network Enabled C4ISR[C].Joint C4ISR Decision Support Center,2003.
[219]张野鹏.作战模拟基础[M].北京:解放军出版社,1994.
[220]第一作者.空间区域划分的战场空间建模研究[J].火力与指挥控制,2007,32(8):20-23.
[221]第二作者.面向战役仿真的正六边形地形环境建模研究[J],小型微型计算机系统,已录用.
[222]第一作者.作战单元战场空间感知建模研究[J].系统仿真学报,已录用(2007.10发表)
[223]第一作者.支持决策行为量化研究的一种个性分析方法[J].系统工程学报,2007,22(4):373-378.
[224]张永生.反舰导弹突击强敌水面作战舰艇时火力运用问题研究[R].海军指挥学院报告,2001.
[225]郑锐.XXX型护卫舰对海攻击问题研究[D].硕士学位论文,海军指挥学院,2001.
[226]赵建军.XXX导弹战法试验平台研究[D].硕士学位论文,海军指挥学院,2003.
[227]Mark Hewish,Charles Gilson.Cleared for Take Off[J].Jane's navy International,2001,34(10).
[228]杨峰,周少平,陈超.1128体系对抗仿真模型研究报告[R].国防科技大学系统工程研究所系统仿真实验室,2003.
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