Robot soccer match system is a typical multi-agent cooperation system; therefore it is a standard platform for researching multi-agent cooperation problem.
机器人足球比赛系统是典型的多智能体协作系统，是研究多智能体协作问题的标准平台。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
It's an ideal testing platform for the research of multi-agent systems and distributed artificial intelligence theory.
是研究多智能体系统和分布式人工智能理论的良好实验平台。
Robot soccer match system is a typical multi-agent cooperation system; therefore it is a standard platform for researching in multi-agent cooperation problems.
机器人足球比赛系统是典型的多智能体协作系统，是研究多智能体协作问题的标准平台。
Applied computational experiment, took the bottom-up modeling method and used multi-agent modeling (ABM) to build a supply chain simulation platform.
应用计算实验思想，采取自下而上的建模方法，采用多主体建模方式(abm)构建出供应链实验平台。
A multi agent architecture of enterprise supply chain system was presented. Based on it, MA SCSP, a development platform for enterprise supply chain systems was designed and implemented.
将多主体技术应用于供应链系统的开发，提出了一种基于多智能体的供应链系统结构，设计实现了基于多智能主体的企业供应链系统开发平台MASCSP。
Robot soccer competitions combined the simulation of decision-making and response, path planning, genetic algorithms and intelligent control subjects, which is a good platform for multi-agent study.
机器人足球仿真比赛融合了决策与对策、路径规划、遗传算法与智能控制等学科内容，是研究多智能体的一个很好的平台。
Robot soccer competitions combined the simulation of decision-making and response, path planning, genetic algorithms and intelligent control subjects, which is a good platform for multi-agent study.
机器人足球仿真比赛融合了决策与对策、路径规划、遗传算法与智能控制等学科内容，是研究多智能体的一个很好的平台。
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