期刊文献+

一种基于辩论的协作型CGF分层协商模型 被引量:2

An Argumentation-based Collaborative CGF Hierarchy Negotiation Model
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摘要 针对作战仿真对人类行为表示(HBR)的准确性要求,建立真实反映战场行为的冲突消解模型是非常重要的。根据已有研究的不足和冲突行为分析,提出了基于辩论的协作型计算机生成兵力(CGF)分层协商模型,在给出相关定义的基础上,研究了冲突下的协商行为过程,实现了基于效用理论的论据强度定量评估算法,算法用于实现首选议题的选取和共同信念的确定。实验结果表明,该模型能够准确地反映冲突下的实际人类战场行为,且能够保证协同过程中的协商一致性。 In the combat simulation of human behavior representation(HBR) preciseness,it is all-important to build the conflict resolution model that can really reflect battlefield behaviors.According to shortages of existing research and analysis of conflict behaviors,this research presents an argumentation-based collaborative CGF hierarchy negotiation model,defines some related concepts,based on which the negotiation process in conflictions was studied and the Utility Theory-based arguments strength qualified evaluation algorithms was implemented,which is used for the selection of optimal proposal and confirmation of common belief.As is testified in fact,it can reflect the real battlefield behaviors under conflicts and ensure the consistency of negotiation during the collaboration process.
出处 《国防科技大学学报》 EI CAS CSCD 北大核心 2011年第5期78-82,共5页 Journal of National University of Defense Technology
基金 国家自然科学基金资助项目(60904055) 国家省部基金资助项目(9140A04010110KG0110)
关键词 作战仿真 计算机生成兵力 人类行为表示 冲突消解 辩论理论 协作型协商 combat simulation computer generated forces human behavior representation conflict resolution argumentation theory collaborative negotiation
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参考文献11

  • 1Rahwan I, Amgoud L. An Argumentation-Based Approach for Practical Reasoning[ C ]//Proc. ArgMAS 2006, LNAI 4766, 2007, 74 -90.
  • 2姜丽,刘大有,白岩,金弟.多Agent协商研究[J].计算机研究与发展,2006,43(z1):1-5. 被引量:3
  • 3Parsons S, Jennings N R. Negotiation Through Argumentation--A Preliminary Report[C]//Proc. ICMAS, 1996, 267 -274.
  • 4Freeman K, Farley A. Towards Formalizing Dialectical Argumentation [ C]//Proc. 15th Conference on Cognitive Science Society, 1993, 440 -445.
  • 5Chu-Carroll J, Carberry S. Conflict Detection and Resolution in Collaborative Planning[ C]//Proc. LNAI 1037, 1996, 1243- 1250.
  • 6Tambe M, Jung H. The Benefits of Arguing in aTeam[J]. AI Magazine, 1999, 20(4) : 25 -35.
  • 7Tambe M. Towards Flexible Teamwork [ J ]. Journal of Artificial Intelligence Research (JAIR), 1997, 7:83 - 124.
  • 8Laird J E, Congdon C B. The Soar User's Manual, Version 9. 0 [ EB/OL]. (2008 - 08 - 28) laird@ umich, edu.
  • 9Tambe M. Teameore Project Control of Agent Based Systems (COABS) Program[ R]. AFRL-IF-RS-TR-2002-253, 2002.
  • 10Feng L, Yin Q J, Hu J W, et al. IBblSE: An Integrated Behavior Modeling and Simulation Environment [ C ]//Proc. ICCblS, 2010:401 -406.

二级参考文献34

  • 1Prasithsangaree P, Manojlovich J M, Chen J, Lewis M. UTSAF: A Simulation Bridge between OneSAF and the Unreal Game Engine [C]// Systems, Man and Cybernetics, IEEE International Conference. USA: IEEE, 2003, 2: 1333-1338.
  • 2Manojlovieh J, Prasithsangaree P, Hughes S, Chen J, Lewis M. UTSAF: A Multi-Agent-Based Framework for Supporting Military- Based Distributed Interactive Simulations in 3D Virtual Environments [C]// Proceedings of the 2003 Winter Simulation Conference, Dec 7-10, New Orleans, LA, USA. USA: ACM, 2003: 960-968.
  • 3Wang J, Lewis M, Gennari J. A Game Engine Based Simulation of the NIST Urban Search & Rescue Arenas [C]// To appear in Proceedings of the 2003 Winter Simulation Conference, Dec 7-10, New Orleans, LA, USA. USA : ACM, 2003: 1039-1045.
  • 4Laird J E, Assanie M, Bachelor B, Benninghoff N, Enam S, Jones B, Kerfoot A, Lauver C, Magerko B, Sheiman J, Stokes D, Wallace S. A Test Bed for Developing Intelligent Synthetic Characters [C]// Artificial Intelligence and Interactive Entertainment: Papers from the 2002 AAAI Spring Symposium. Menlo Park, Calif. USA: AAAI Press, 2002.
  • 5Laird J E. Using a Computer Game to Develop Advanced AI [J]. Computer (S0018-9162), 2001, 34(7): 70-75.
  • 6Jones R M, Tambe M, Laird J E, Rosenbloom P. Intelligent automated agents for flight training simulators [C]// Proceedings of the Third Conference on Computer Generated Forces and Behavioral Representation. Orlando, Florida, USA: Institute for Simulation and Training, University of Central Florida, March 1993.
  • 7MeGrath D, Hill D. UnrealTriage: A Game-Based Simulation for Emergency Response [C]// Proceedings of the 2004 Huntsville Simulation Conference, Huntsville, AL, October 2004.
  • 8Deaton J E, Barba C, Santarelli T, Rosenzweig L, Souders V, et al.. Virtual environment cultural training for operational readiness (VECTOR) [J]. Virtual Reality (S1434-9957), 2005, 8(3): 156-167.
  • 9McDowell P, Darken R, Sullivan J, Johnson E. Delta3D: A Complete Open Source Game and Simulation Engine for Building Military Training Systems [C]// Proceedings of the 2005 Interservice/Industry Training, Simulation and Education Conference (I/ITSEC). Orlando, Florida, USA: National Defense Industrial Association. November 28-December 1, 2005: 3-11.
  • 10Game engine-Wikipedia, the free encyclopaedia. [EB/OL]. (2008-9-10). http://en.wikipedia, org/wiki/Game engine

共引文献11

同被引文献33

  • 1杨佩,高阳,陈兆乾.一种劝说式多Agent多议题协商方法[J].计算机研究与发展,2006,43(7):1149-1154. 被引量:21
  • 2陶海军,王亚东,郭茂祖,王翰伦.基于熟人联盟及扩充合同网协议的多智能体协商模型[J].计算机研究与发展,2006,43(7):1155-1160. 被引量:20
  • 3耿兰芹,王平.复合熟人模型——一种多Agent合作组织方法[J].华北电力大学学报(自然科学版),2007,34(1):123-127. 被引量:3
  • 4廖沫,陈宗基,周锐.基于MAS的多UAV协同任务分配设计与仿真[J].系统仿真学报,2007,19(10):2313-2317. 被引量:24
  • 5JENNINGS N R,FARATIN P,LOMUSCIO A R. Automated negotiation:prospects,methods and challenges[J].Group Decision and Negociation,2001,(02):199-215.
  • 6RAHWAN I,RAMCHURN S D,JENNINGS N R. Argumentation-based negotiation[J].The Knowledge Engineering Reviews,2003,(04):343-375.
  • 7WU Jing-hua,JIANG Guo-rui,HUANG Ti-yun. Using two main arguments in agent negotiation[A].Beilin:Springer-Verlag,2006.578-583.
  • 8FATIMA S S,WOOLDRIDGE M,JENNINGS N R. A comparative study of game theoretic and evolutionary models of bargaining for software agents[J].Artificial Irtelligence Review,2005,(02):187-205.
  • 9NGUYEN T D,JENNINGS N R. A heuristic model of concurrent bilateral negotiations in incomplete information settings[A].San Francisco:Morgan Kaufmann Publishers,2003.1467-1469.
  • 10SARVPALI D R. Multi-agent negotiation using trust and persuasion[D].Southampton:University of Southampton,2005.1-126.

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