期刊文献+

虚拟企业环境下多智能体协同决策机制研究

Research on the Collaborative Decision-making of Multi-agent in Virtual Enterprise Environment
在线阅读 下载PDF
导出
摘要 异地合作环境下,组织决策需要合作伙伴的共同参与。文章提出了虚拟企业环境下各节点协同决策挑选伙伴的模型及机制,在保证各节点利益的前提下实现整体的协同效益。把多智能体理论与协同决策相结合,实现了各节点的交互和协商,保证了协同决策的实现。 The cooperate organization in different places need all partners to make decisions together. This paper purposes a collaborative model and mechanism for virtual enterprise (VE) decision-making. The model can bring the VE synergic profit, multi-agent System theory has applied to the collaborative mechanism, which realized the VE's decision-making.
作者 夏静 巢来春
出处 《华东经济管理》 2007年第12期93-95,103,共4页 East China Economic Management
关键词 虚拟企业 协同决策 多智能体 virtual enterprise collaborative decision-making multi-agent system
  • 相关文献

参考文献9

  • 1Wooldridge M, Jennings N R. Intelligent Agents [C]. Berlin. Springer-Verlag, 1995:252-278.
  • 2Durffee E H, Lesser V R, Corkill D. Trends in cooperative distributed problem solving [J ]. IEEE Trans. On Knowledge and Data Engineering, 1989, ( 1 ) : 63 - 83.
  • 3Divis R, Smith R G. Negotiation as a metaphor for distributed problem mlving[J]. Artificial Intelligence, 1983, (20) : 63 - 109.
  • 4Lan Berkere, Davad C. Brown. Conflicts and negotiation in single function agent based system [J]. Concurrent Engineering, 1996, (4): 17-33.
  • 5Jennings N R, Parsons S, Sierra C et al. Automated negotiation [C]. Manchester : Proc. of 5th Int. Conf. on the Practical Application of Intelligent Agents and Multi - Agent Systems, 2000 : 23 - 30.
  • 6王汝传,徐小龙,黄海平.智能agent及其在网络信息中的应用[M].北京:北京邮电大学出版社,2005:43-69.
  • 7张人千,李艳艳.基于Agent与分解协调的综合生产计划研究[J].数学的实践与认识,2007,37(3):40-50. 被引量:1
  • 8Labrou Y, Finin T. A semantics approach for KQML-a general purpose communication language for software Agent. In: Third International Conference on Information and Knowledge Management, 1984, 9.
  • 9Finin T etal. Specification of the KQML Agent communication Language. DARPA knowledge sharing initiative external interfaces working group, 1993.

二级参考文献12

  • 1Holt C C F,Modigliani F F Muth,Simon H A.Planning Production,Inventories,and Work Force[M].Englewood Clifts,New Jersey,Prentice-Hall,1960.
  • 2Jones C H.Parametric production planning[J].Management Science,1967,4(1):115-135.
  • 3MASAO Y.The eclectic model for stochastic dynamic production cycling problem[J].International Journal of Production Economics,1999,60-61(4):359-367.
  • 4J ENNINGS N R,WOODRIDGE MJ.Applications of intelligent agents[A],Agent Technology:Foundations,Applications.and Markets[C],Germany:Springer,1998.3-28.
  • 5JIRI L,OLGA S,et al.Application of the multi-agent approach in production planning and modeling[J].Engineering Application of Artificial Intelligence,2001,14(3):369-376.
  • 6MARIK V,PECHOUCEK M,JIRI L,et a1.Pvs'98 Agents:Structure,models and production planning application[J].Robotics and Autonomous System,1999,27(1-2):29-43.
  • 7KARAGEORGOS A,MECHANDJIEV N,el a1.Agent-based optimization of logistic and production planning[J].Engineering Application of Artificial Intelligence,2003,16(4):335-348.
  • 8CHUN H W,WONG Y M.N-an agent-based negotiation algorithm for dynamic scheduling and rescheduling[J].Advanced Engineering Informatics,2003,17(1):1-22.
  • 9TALUKDAR S,RAMESH V C.A multi-agent technique for contingency constrained optimal power flows[J].IEEE Transactions on Power System.1994,9(2):855-861.
  • 10李靖霞,鞠平,沈祖诒.分解协调模拟进化方法研究[J].河海大学学报(自然科学版),1999,27(2):51-54. 被引量:2

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