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。
Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文在详细了解和研究多智能体系统的基础之上讨论并实现了一个多智能体机器人系统。
After detailed understanding and long-term study of multi-agent system, this thesis discussed and realized a multi-agent robot system.
本文基于多智能体系统理论，研究了多智能体机器人系统的底层实时调度问题。
This paper will study under layered real-time scheduling problem, which is based on the theory of MAS (Multi-agent System).
多智能体系统的智能体大都处在复杂、时变、信息动态不完备的环境中。
Agents in multi-agent system are always in complex, dynamic and not self-contained.
由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。
Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.
复杂适应系统理论和基于多智能体的建模仿真方法，为通信作战指挥模拟的研究提供了新的思路。
Complex adaptive system theory and modeling and emulating method based on multi-agent provide a new way for the study of communication campaign commanding simulation.
本文针对流程制造企业的管理模式和相应的供应链特点，采用多智能体技术建立基于预测的流程供应链模型。
Firstly this paper analyzes the features of enterprise management and supply chain in process industry, then a forecast based process supply chain model is proposed by multi-agent technology.
建立了多智能体机器人系统模型，从逻辑学的角度对系统模型的各部分进行了定义和描述。
The system model of MAS (Multi-Agent Systems) robot is established in this paper and each part of the model is defined and described from the logic point.
自主微小型移动机器人的协作学习研究是多智能体机器人系统理论的主要研究方向。
The issue of cooperation learning for autonomous micro-mobile robot is the main problem of multi-agent robot system theory.
研究了基于多智能体的作战模型的建模工作流程，确定了各个步骤中的主要工作；
The modeling process of the multi-agent based combat model is discussed, and the main task of every step is ascertained.
第二，提出了一种基于多智能体的作战模型。
Secondly, a kind of multi-agent based combat model is proposed.
提出了一种新的基于多智能体的分布式化工过程故障诊断方法。
A new kind of distributed fault diagnosis method of chemical process based on multi-agent system was provided.
在对智能体的内涵及基本特性进行详细探讨的基础上，提出一种新的、动态的基于多智能体的制造系统建模方法。
Based on a detailed discussion about the connotation and basic properties of multi-agent, a new dynamic multi-agent-based modeling approach for manufacturing system is proposed.
本文提出并实现了一种并行环境下的多智能体模型，该模型中的各智能体采用多层混合推理策略进行冲突协商。
This paper brings forward and realizes a multi agents model in concurrent environment. Agent in the model adopts a multi tier hybrid reasoning strategy to negotiate with each other.
首先探讨了基于多智能体的分布式智能控制在工业控制应用中的意义和特点。
First, the significance and characteristics of the application of multi-agent based distributed intelligent control to industry control are discussed.
轴孔装配作业实验结果表明，本文提出的体系结构是可行的，采用CORBA技术和多智能体技术能有效地实现预定的装配任务。
The peg in hole assembly experiment shows that the proposed architecture is practicable and the given assembly tasks can be efficiently finished by applying CORBA and multi agent technology.
最后，通过与一种典型的整体重调度方法(基于多智能体的调度方法)的比较，验证了该方法的可行性和有效性。
Finally, the proposed method was proven to be feasible and effective through the comparison with a kind of typical whole rescheduling method (scheduling method based on multi-Agent).
将多智能体技术应用于交互式进化计算领域，提出一种新的交互式多智能体进化算法。
By introducing multi-agent technique into the domain of interactive evolutionary computation, a new interactive multi-agent evolutionary algorithm (IMAGA) was developed.
文章对智能体的特性进行了全面阐述，提出了一种新的、动态的基于多智能体的制造系统建模方法。
In this paper the primitive properties of agents are discussed and a new dynamic multi-agent based modeling approach for manufacturing system is proposed.
基于电力系统计算所用的节点编号，开发了一种新型的多智能体电网操作票专家系统。
The paper develops a new multi-agent operation order expert system based on node number of power system counting.
多智能体的协作是现代分布式多智能体系统的关键技术。
Multi-agent cooperation is a key technology in distributed Multi-agent system.
文章提出了利用协作协进化来实现多智能体机器人之间协作的一种机制。
This paper proposes a mechanism which realizes the cooperation of multi-agent by cooperative co-evolution.
机器人足球比赛主要解决分散存在的多智能体，在复杂的动态环境下，通过相互通信和协作，以实时方式进行的知识处理问题。
The Robot Soccer Tournament must solve real-time knowledge processing of some dispersive multi-agent via communication and cooperation one another in complicated dynamic environment.
MAXQ分层多智能体学习方法是近年来被提出的一种新方法。
MAXQ, a hierarchical reinforcement learning method for multi-agent system, is proposed in recent years.
本文实现了一个基于多智能体结构的车间调度原型系统。
A shop scheduling prototype system based on multi agent architecture is implemented.
研究表明，多智能体技术非常适合于实现集合保护。
Research results show that multi-agent system (MAS) is suitable to implement aggregate protection.
本文提出了一种基于多智能体结构的车间层动态调度方法。
An approach to realize shop dynamic scheduling system based on multi agent architecture is proposed in this paper.
对于多传感器协作问题的研究思路，目前主要存在基于资源有效分配、基于多智能体和基于协进化机制三种研究思路。
Many of research thinking to multi-sensor cooperation problem have existed such as resource effective allocation, agent theory and co-evolution mechanism.
对于多传感器协作问题的研究思路，目前主要存在基于资源有效分配、基于多智能体和基于协进化机制三种研究思路。
Many of research thinking to multi-sensor cooperation problem have existed such as resource effective allocation, agent theory and co-evolution mechanism.
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