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  “视觉决策”译为未确定词的双语例句
     The diesis discusses about an approach to deal with the problems above based on the predictive memory model by Peter Stone and presents an effective decision-tree growing algorithm.
     本文在Peter Stone的预言性记忆模型的基础上,对智能体的感知系统及相关决策进行了研究,并从信息论的角度运用以距离为基础的属性选择法构造视觉决策树,实现偏置归纳学习。
  相似匹配句对
     Vision
     视觉
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     Beyond Vision
     视觉之上
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     Shared Decision Making
     共同决策
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     ON DECISION OF MACROSYSTEMS
     宏观系统的决策
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     The major content of tHSI paper is to reseach MiroSot vision subsystem and decision-making subsystem.
     本论文主要研究MiroSot系统中的视觉子系统和决策子系统。
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A centralized soccer robot system composed of such subsystems as vision,decision-making,wireless communication,robot car and console is constructed.This paper summarizes the control problems of the centralized soccer robot system with central vision,decision-making and control system,and designs a soccer robot decision-making subsystem based on the hierarchical control structure.The robot car controller is a "brainless" executor,the motion controller includes all kinds of action functions,and different decision...

A centralized soccer robot system composed of such subsystems as vision,decision-making,wireless communication,robot car and console is constructed.This paper summarizes the control problems of the centralized soccer robot system with central vision,decision-making and control system,and designs a soccer robot decision-making subsystem based on the hierarchical control structure.The robot car controller is a "brainless" executor,the motion controller includes all kinds of action functions,and different decision schemes are collected in the organizing level.Longtime development practices and competition achievements prove that the system has good structure and high performance.

构建了由视觉子系统、决策子系统、无线通信子系统、机器人小车子系统和总控子系统组成的集控式足球机器人系统.总结了具有集中视觉、决策与控制的集控式足球机器人系统的控制问题.设计了基于分层递阶控制结构的足球机器人决策子系统.小车控制器构成“无脑”的执行器,运动控制器中集成了各种各样的动作函数,组织层则融合了不同的决策方案.长期的开发实践和实战成绩都表明,该系统具有良好的结构和优异的性能.

Soccer robot system provides a standard platform for evaluation of AI theories and algorithms, as has caused great attention of scientists all over the world. It includes many research fields, such as artificial intelligence, automation, robot vision, radio communication, machine learning and multi-agent cooperation. Centralized control soccer robot system (CCSRS) can be usually divided into four subsystems: vision subsystem, decision-making subsystem, communication subsystem and robot subsystem. According to...

Soccer robot system provides a standard platform for evaluation of AI theories and algorithms, as has caused great attention of scientists all over the world. It includes many research fields, such as artificial intelligence, automation, robot vision, radio communication, machine learning and multi-agent cooperation. Centralized control soccer robot system (CCSRS) can be usually divided into four subsystems: vision subsystem, decision-making subsystem, communication subsystem and robot subsystem. According to the experiences, the key technologies of all subsystems of CCSRS are discussed.

足球机器人比赛是机器人研究的一个新热点,它为人工智能理论和算法的研究提供了一个实验平台,其研究的领域涵盖了人工智能、自动控制、机器人视觉、无线通信、机器学习和多智能体合作与协调等。集控式足球机器人系统通常可以划分为4个子系统,即视觉、决策、通信和车型机器人。结合研究经验,介绍了集控式足球机器人各个子系统的关键技术。

>=There are two comfused problems in the robocup simulation field involving the unaccessible external environment and the uncertain self-behavior. And the key to these depends on the perception module and related decisions, which refer to the process and the acquisition of original data. The diesis discusses about an approach to deal with the problems above based on the predictive memory model by Peter Stone and presents an effective decision-tree growing algorithm. In conclusion, the experiment results well...

>=There are two comfused problems in the robocup simulation field involving the unaccessible external environment and the uncertain self-behavior. And the key to these depends on the perception module and related decisions, which refer to the process and the acquisition of original data. The diesis discusses about an approach to deal with the problems above based on the predictive memory model by Peter Stone and presents an effective decision-tree growing algorithm. In conclusion, the experiment results well validate the viewpoint of the thesis.

在机器人足球仿真组的比赛中,存在两个复杂的问题,其一是不可知的外部环境,其二是不确定的智能体动作。解决问题的关键就在于原始数据的“获取”和“加工”,即对应于智能体的感知决策和感知系统。本文在Peter Stone的预言性记忆模型的基础上,对智能体的感知系统及相关决策进行了研究,并从信息论的角度运用以距离为基础的属性选择法构造视觉决策树,实现偏置归纳学习。实验的结果较好的验证了本文的观点。

 
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