期刊文献+

基于BDI的足球agent和TH-soccer平台 被引量:9

SOCCER AGENT BASED ON BDI AND TH SOCCER GAME PLATFORM
下载PDF
导出
摘要 机器人足球赛是典型的 MAS问题 .建造了 TH- soccer比赛平台 ,利用 BDI实现了足球 agent模型和比赛算法 ,并在模型上实现了 team work方法 ,可解决个体与 team行为选择矛盾的问题 ,还给出了个体对抗 ,局部战术和全局战术等协商、协作和对抗方法 .改进了 Milind Robot soccer game is a typical MAS problem. For a more thorough study, a TH soccer game platform is constructed in this paper. A soccer agent model and an algorithm for the game are implemented by using BDI and the team work method is applied on the model successfully, thus solving the dilemma of making decision when individual and team have different goals. Individual competition, local strategy, global strategy are also studied as ways of negotiation, co operation or conflict. This paper improves the research done by Milind Tambe.
作者 李毅 石纯一
出处 《计算机研究与发展》 EI CSCD 北大核心 2001年第8期911-915,共5页 Journal of Computer Research and Development
基金 国家自然科学基金资助 (6 9973 0 2 3 6 973 3 0 2 0 )
关键词 机器人足球赛 TH-soccer平台 人工智能 群体活动 robot soccer game, MAS, agent, BDI, team work, conflict
  • 相关文献

参考文献1

  • 1Rao Anands,Workshop Distributed Artificial Intelligence,1994年,283页

同被引文献39

  • 1庄晓东,孟庆春,魏天滨,王旭柱,谭锐,李筱菁.Robot path planning in dynamic environment based on reinforcement learning[J].Journal of Harbin Institute of Technology(New Series),2001,8(3):253-255. 被引量:3
  • 2范辉,李晋江,张晖.Agent计算的理论[J].系统仿真学报,2001,13(S2):250-252. 被引量:4
  • 3史忠植.智能主体及其应用[M].北京:科学出版社,2001.7-11.
  • 4[6]KIM D H, KIM J H. A real-time limit-cycle navigation method for fast mobile robots and its application to robot soccer [ J ]. Robotics and Autonomous Systems, 2003,42:17 -30.
  • 5[7]KIM S H, CHOI J S, KIM J K, et al. A cooperative micro- robot system playing soccer: Design and implementation [ J ]. Robotics and Autonomous Systems, 1 997,21:177 - 189.
  • 6Kitano H, Tambe M, Stone P, etal. The RoboCup Synthetic Agent Challenge 97[J]. In Proceedings of Fifteenth International Joint Conference on Artificial Intelligence( UCAI -97),1997, (1) :24 - 29.
  • 7Findler, Elder. Multi-agent coordination and cooperation in a dynamic environment with limited resources[J]. Artificial Intelligence in Engineering, 1995, 9: 229-238.
  • 8Milind Tambe. Agent Architectures for Flexible, Practical Teamwork Ec3. Proceedings of the Fourteenth National Conference on Artificial Intelligence, Providence: AAAI Press, 1997. 22-28.
  • 9Zhuang Xiaodong, Meng Qingchun. Mobile Robot Control in Multi-Obstacle Environment Based on Reinforcement ant Learning [C]. Proceedings of the 2002 International Conference on Control and Automation, Xiamen: IEEE Press, 2002. 856-860.
  • 10Alessandro Ricco,rea omicini.Virtual enterprises and workflow management as Agent coordination issues[J].International Journal of Cooperative Information Systems,11(3):355~379.

引证文献9

二级引证文献22

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