期刊文献+

一种改进的辩论协商模型及其算法 被引量:2

Improved Model of Argumentation-Based Negotiation and Its Algorithm
下载PDF
导出
摘要 为了解决现有辩论协商模型过于抽象的问题,提出了一种改进的辩论协商架构.在构架中定义了辩论协商模型的对手、自身和环境等模型,其中对手模型是以协商伙伴为对手,自身模型的内容包括信念、愿望、意图、信任和偏爱,环境模型主要由Agent通讯语言和内容语言、协商协议和信息库组成.同时,提出了相应的算法,它通过合理地组合模型,调整论证评估器的位置,建立协议推理、论证评估、论证产生和论证选取等过程,使得协商信息充分交互,协商过程更为有效.实验结果表明,所提模型和算法是有效、可行的,算法的复杂度与协商对话的轮回有关,若轮回数为n,则复杂度为O(n). Aiming at dealing with the problem that existing models of argumentation-based negotiation is too abstractive, an improved framework of argumentation-based negotiation was presented, in which the opponent model, self-model and environment model were defined in detail. In the opponent model, the negotiating partner was considered as an opponent. The self-model included belief, desire, intention, trust and preference. The environment model was composed of agent communication language and domain language, negotiation protocol, and information base. Meanwhile, the corresponding algorithm was also proposed. Through adjusting the location of argument evaluator and creating the process of protocol reasoning, evaluation demonstration, argument generation and argument selection, the algorithm made the exchange of negotiated information sufficiently and the negotiating procedure more effectively. Experimental results show that the proposed model and algorithm are valid and feasible. The complexity of the algorithm depends on the go-a-round of the negotiation. If the number of the go-a-round in negotiating is n, the complexity of algorithm is O(n).
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 2006年第2期129-132,156,共5页 Journal of Xi'an Jiaotong University
基金 国家重点基础研究发展规划资助项目(2004CB719401)
关键词 辩论协商 论证 协议推理 argumentation negotiation argument protocol reasoning
  • 相关文献

参考文献8

  • 1Wooldridge M J.Agent-based software engineering [J].IEE Proceedings on Software Engineering,1997,144(1):26-37. 被引量:1
  • 2Jennings N R,Faratin P,Lomuscio A R,et al.Automated negotiation:prospects,methods and challenges [J].International Journal of Group Decision and Negotiation,2001,10(2):199-215. 被引量:1
  • 3Rahwan I,Ramchurn S D,Jennings N R,et al.Argumentation-based negotiation [J].The Knowledge Engineering Review,2003,18(4):343-375. 被引量:1
  • 4van Eemeren F H,Grootendorst R F,Henkemans F S.Fundamentals of argumentation theory:a handbook of historical backgrounds and contemporary applications [M].Hillsdale,USA:Lawrence Erlbaum Associates,1996. 被引量:1
  • 5Parons S,Sierra C A,Jennings N R.Agents that reason and negotiation by arguing [J].Journal of Logic and Computation,1998,8(3):261-292. 被引量:1
  • 6李 毅,石纯一.基于BDI的对手Agent模型[J].软件学报,2002,13(4):643-648. 被引量:17
  • 7Wooldridge M.多Agent系统引论[M].石纯一,译.北京:电子工业出版社,2003. 被引量:27
  • 8Amgoud L,Prade H.Generation and evaluation of different types of arguments in negotiation [A].Tenth International Workshop on Non-Monotonic Reasoning,Whistler,Canada,2004. 被引量:1

二级参考文献7

  • 1Haddadi,A.,Sundermeyer,K.Belief-Desire-Intention agent architectures.In: O'Hare,G.M.P,Jennings,N.R.,eds.Foundations of Distributed Artifcial Intelligence.New York: John Wiley&Sons Inc.,1996.169~185. 被引量:1
  • 2Anand,S.,Rao.Multi-Agent mental-state recogition and its application to air-combat modellint.In: Proceedings of the Workshop on Distributed Artificial Inrtlligence.1994.283~304. 被引量:1
  • 3Milind,Tambe.RESC: an approach for real-time,dynamic agent tracking.In: Proceedings of the Joint Conference on Artificial Intrllifence.1995. 被引量:1
  • 4Milind,Tambe.Building agent teams using an explicit teamwork model and learning.Artificial Intelligence,1999,(110):215~239. 被引量:1
  • 5Hill,R.,Johnson,W.L.Situated plan attribution for intelligence tutoring.In: Proceedings of the National Conference on Artijicial Intelligence.Menlo Parl,CA: AAAI Press,1994. 被引量:1
  • 6Peter,Stone,Manuela,Veloso.Task decomposition,dynamic role assignment,and low-bandwidth communication for real-time strategic teamwork.Artificial Intelligence,1999,(110):241~273. 被引量:1
  • 7Kaminla,G.A.,Milind,Tambe.What is wrong with us? improving robustness through social diagnosis.In: American Association for Artificial Intelligence.1998.97~104. 被引量:1

共引文献42

同被引文献16

  • 1何汉明,李永强.多Agent社会的结构模型[J].计算机应用与软件,2005,22(4):58-59. 被引量:6
  • 2张宏,何华灿.多Agent自动协商策略和算法[J].计算机应用,2006,26(8):1935-1937. 被引量:13
  • 3伍京华,蒋国瑞,黄梯云.基于Agent辩论谈判的奖励模型研究[J].计算机工程与应用,2006,42(36):172-175. 被引量:3
  • 4Fatima S S,Wooldridge M,Jennings N R.An agenda based frame work for multi-issue negotiation[J].Artificial Intelligence Journal,2004,152(1):1-45. 被引量:1
  • 5Nguyen T D,Jennings N R.A heuristic model of concurrent bilateral negotiations in incomplete information settings[C]//Proc 18th Int Joint Conf on AI,Acapulco,Mexico,2003:1467-1469. 被引量:1
  • 6Kraus S,Sycara K,Evenchik A.Reaching agreements through argumentation:a logical model and implementation[J].Journal of Artificial Intelligence,1998:104. 被引量:1
  • 7Rahwan I,Ramchurn S D,Jennings N R,et al.Argumentation-based negotiation[J].The Knowledge Engineering Review,2004,18(4):343-375. 被引量:1
  • 8Weinberger Y B,Rosenschein J S.Passive threats among Agents in state oriented domains[C]//The Sixteenth European Conference on Artificial Intelligence,Valencia,Spain,August 2004,2004:89-93. 被引量:1
  • 9Leila Amgoud,Henri Prade.Formal handling of threats and rewards in a negotiation dialogue[C]//AAMAS'05,July 25-29,2005,Utrecht,Netherlands,2005:529-536. 被引量:1
  • 10Karunatillake N C,Jennings N R,Rahwan I,et al.Argument-based negotiation in a social context[C]//Proc of the second Int Workshop on Argumentation in Multi-Agent Systems (ArgMAS'05),Utrecht,Netherlands,2005:74-88. 被引量:1

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部