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第1行：
第1行： − + − 单纯反射剂+ − + − 学习代理+ 第21行：
第21行： − 多智能体系统系统是一个由多个相互作用的智能代理组成的计算机系统。多智能体系统可以解决单个智能体或单层系统难以解决或不可能解决的问题。智能可能包括有条理的、功能性的、程序性的方法、算法搜索或者强化学习。+ 第29行：
第29行： − 尽管有相当多的重叠部分，多智能体系统并不总是和个体为本模型一样。反弹道模型的目标是寻找解释性的洞察力，以了解遵守简单规则(通常在自然系统中)的行为体(这些行为体不一定是“智能的”)的集体行为，而不是解决具体的实际或工程问题。作业成本管理的术语在科学领域和工程技术领域的应用越来越广泛。多智能体系统研究可能提供适当方法的应用包括在线交易、灾害反应和社会结构建模。+ +
无编辑摘要
此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。
此词条暂由彩云小译翻译，未经人工整理和审校，带来阅读不便，请见谅。
[[Image:IntelligentAgent-SimpleReflex.png|thumb|right|Simple reflex agent]]
[[Image:IntelligentAgent-SimpleReflex.png|thumb|right|简单反射主体 Simple reflex agent]]
Simple reflex agent
Simple reflex agent
简单反射主体
[[Image:IntelligentAgent-Learning.png|thumb|right|Learning agent]]
[[Image:IntelligentAgent-Learning.png|thumb|right|学习主体 Learning agent]]
Learning agent
Learning agent
学习主体
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
A multi-agent system (MAS or "self-organized system") is a computerized system composed of multiple interacting intelligent agents. Multi-agent systems can solve problems that are difficult or impossible for an individual agent or a monolithic system to solve. Intelligence may include methodic, functional, procedural approaches, algorithmic search or reinforcement learning.
'''多主体系统'''（Self-organized System 或 Multi-agent System，简称MAS）是一种由多个相互作用的智能体组成的计算系统。多主体系统可以解决一些单个主体或单一性系统难以解决的问题。其智能可能体现在条理性、功能性、程序性的行为方式，以及搜索算法和强化学习上。
Despite considerable overlap, a multi-agent system is not always the same as an agent-based model (ABM). The goal of an ABM is to search for explanatory insight into the collective behavior of agents (which don't necessarily need to be "intelligent") obeying simple rules, typically in natural systems, rather than in solving specific practical or engineering problems. The terminology of ABM tends to be used more often in the science, and MAS in engineering and technology. Applications where multi-agent systems research may deliver an appropriate approach include online trading, disaster response and social structure modelling.
Despite considerable overlap, a multi-agent system is not always the same as an agent-based model (ABM). The goal of an ABM is to search for explanatory insight into the collective behavior of agents (which don't necessarily need to be "intelligent") obeying simple rules, typically in natural systems, rather than in solving specific practical or engineering problems. The terminology of ABM tends to be used more often in the science, and MAS in engineering and technology. Applications where multi-agent systems research may deliver an appropriate approach include online trading, disaster response and social structure modelling.
尽管多主体系统和“基于主体的模型”（Agent-based Model，简称ABM）有着很多的重叠，但是他们并不总是相同的。“基于主体的模型”目标在于解释那些遵循简单规则、可能并不是很“智能”的主体表现出的集群行为，一般被用于自然系统的研究中，而不是在实践中解决工程问题。因此“基于主体的模型”这个词更多地用在科学研究中，而“多主体系统”则更多地用于工程和技术。有关多主体系统的研究可能会对在线交易、灾害应急、社会结构建模等领域有着良好的应用价值。