ACO algorithm is basically a multi agent system where low level interactions between single agents result in a complex behavior of the whole ant colony.
ACO算法本质上是一个多代理系统，在这个系统中单个代理之间的交互导致了整个蚁群的复杂行为。
Agents in multi-agent system are always in complex, dynamic and not self-contained.
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。
Therefore it is an inevitable request of multi-agent system to study the coordination work in agents.
所以研究多智体的协调工作是研究多智体系统的必然要求。
In this paper the primitive properties of agents are discussed and a new dynamic multi-agent based modeling approach for manufacturing system is proposed.
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。
And the relative knowledge on Water Engineering Theory is embedded in these Agents in the system, so it can do the flow-control for the Pipeline Network with the Multi-Agent system.
并且将给水工程理论的有关知识嵌入到这些主体中，从而实现了用多主体系统对自来水管网进行流量控制。
In multi-agent system, the links between agents effect the attributes and behavior of an agent.
多主体系统中，主体与主体之间的关联影响主体的属性和行为。
In a multi-agent system, consensus means that some of the agents'states reach at the same values, and consensus algorithm is a protocol for agents reach consensus based on local information.
在多智能体系统中，“一致性”是指智能体就某些状态量趋于相同，而一致性算法是指多个智能体基于局部信息采取的使得个体状态趋于一致的协议。
Complex System usually consists of a large number of interacting components; therefore multi-agents models can play a valuable role in exploring the dynamics.
复杂系统通常包括多个组分，因此多主体模型能够在探索它们之间的动态机制上发挥重要作用。
Applied agents were different in applied field, knowledge representation and manage style. Different meanings were familiar in the multi-applied system.
在多应用主体的系统中，由于各应用主体工作领域和知识表达、处理方式的不同在协作过程中易造成语义歧义等问题。
Applied agents were different in applied field, knowledge representation and manage style. Different meanings were familiar in the multi-applied system.
在多应用主体的系统中，由于各应用主体工作领域和知识表达、处理方式的不同在协作过程中易造成语义歧义等问题。
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