期刊文献+

PMBC及其在Robocup中的应用

A Plan Model Based on Cooperation(PMBC) and Its Application in Robocup
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摘要 智能体间的协作能够提高多智能体系统的智能度,而规划作为一种重要的问题求解技术,能够有效地实现多智能体间的协作。该文介绍了一种基于协作的规划模型及此模型的前提、动作和终止条件三要素,通过对特定状态和局部协作的提前规划,有效地实现了多智能体系统中智能体间的协作。通过把此规划模型运用到典型的多智能体系统—机器人足球比赛中,证明了在多智能体系统中应用此规划模型不仅能够提高单个智能体的反应速度,还可以提高整个系统的运行效率。 Cooperation can enhance the intelligence of Multi -Agent System (MAS), and plan as an .important question solution technique can realize Multi - Agent cooperation effectively. A Plan Model Based on Cooperation (PMBC) and its three elements including precondition, action and ending condition are introduced in this paper, Multi- Agent cooperation is implemented by preplanning the specifical state and local cooperation. This model is used in Robocup which is the typical MAS. Simulation results indicate that with PMBC the reaction velocity of single Agent is enhanced, at the same time it can improve the efficiency of MAS.
出处 《计算机仿真》 CSCD 2006年第3期120-122,176,共4页 Computer Simulation
基金 国家863计划项目(2001AA422200)
关键词 基于协作的规划模型 足球机器人比赛 多智能体系统 多智能体的协作 PMBC Robocup MAS Multi - agent cooperation
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参考文献6

  • 1Peter Stone and Manuela.Towards collaborative and Adversial Learning A Case Study in Robotic Soccer[C].PH.D.Thesis.Carnegie Mellon University,CMU-CS-98-187,1998.
  • 2E H Durfee and V R Lesser.Partial global planning:A coordination framework for distributed hypothesis formation[J].IEEE Transactions on System,Man,and Cybernetics,September 1991,21(5):1167-1183.
  • 3K Decker,V Lesser.Designing a family of coordination algorithms[C].Proceedings of the First International Conference on Multiagent Systems,73~80 San Francisco,CA,June 1995.
  • 4E H Durfee,V Lesser.Negotiating task decomposition and application using partial global planning[J].Distributed Artificial Intelligence:1989,2:229-244.
  • 5钟碧良,张祺,杨宜民.足球机器人多智能体协作策略[J].计算机工程与应用,2003,39(24):60-63. 被引量:12
  • 6Huang H Bui,Svetha Venkatesh,and Dorota Kieronska.A Framework for Coordination and Learning among Team of Agents[M].Morgan Kaufmann,1998.

二级参考文献7

  • 1Rodney A Brook.A Robost Layered Control System For A Mobile Robot[J].IEEE Joural of Robotics and Automation, 1986 ;RA-2 ( 1 ) : 14-23.
  • 2Ronald C Arkin.Motor schema-based momile robot navigation[J].Internation Journal of Robotics Research, 1987:92-112.
  • 3Ronald C Arkin,Douglas Mackenzie.Teemporal Coordination of Perceptual Algorithms for Mobile Robot Navigation[J].IEEE Trans on Robotics and Automation, 1994; 10(3) : 276-286.
  • 4Young D Kwon,Jin S Lee.An Obstacle Avoidance Algorithm For Monile Robot:The Improved Weighted Safety Vector Field Method[C]. In:proceeding of the IEEE 10th International Symposium on Intelligent control, 1995 :441-446.
  • 5Maja J Mataric.Integration of Representation Into Goal-Driven Behavior-Based Robots[J].IEEE Trans on Robotics and Automation,1992: 8(3) :304-312.
  • 6J Borenstein,Y koren.The vector field histogram fast obstacle avoidance for mobile robot[J].IEEE Transaction on Robotics and Automation, 1992; 27 ( 3 ) : 278-288.
  • 7Dong Min Shin.Trajectory Generation Using Bezier Curve and Quaternion Descriptor.MS PoSTECH, 1996.

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