摘要翻译：
Agent技术是一种允许实现大型复杂分布式应用程序的软件范例。为了帮助多Agent系统的分析、概念和开发或实现阶段，我们试图提出一种面向组件的体系结构和基于Agent的方法，允许MDA从给定的模型生成源代码的通用和可扩展的MAS方法的实际应用。我们在AUML上设计了类图，作为一个MAS的不同代理的类元模型。然后，我们生成使用名为AndroMDA的开源工具开发的模型的源代码。这种基于Agent和进化的方法增强了模块化和泛型开发，并提高了它们在未来开发中的可重用性。这种特性使我们的设计方法区别于现有的方法，因为它受到任何特定的基于代理的模型的约束，同时提供了一个通用模型库
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英文标题：
《A new approach of designing Multi-Agent Systems》
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作者：
Sara Maalal and Malika Addou
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最新提交年份：
2012
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分类信息：

一级分类：Computer Science        计算机科学
二级分类：Multiagent Systems        多智能体系统
分类描述：Covers multiagent systems, distributed artificial intelligence, intelligent agents, coordinated interactions. and practical applications. Roughly covers ACM Subject Class I.2.11.
涵盖多Agent系统、分布式人工智能、智能Agent、协调交互。和实际应用。大致涵盖ACM科目I.2.11类。
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一级分类：Computer Science        计算机科学
二级分类：Artificial Intelligence        人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
  Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist analyzing, conception and development or implementation phases of multi-agent systems, we've tried to present a practical application of a generic and scalable method of a MAS with a component-oriented architecture and agent-based approach that allows MDA to generate source code from a given model. We've designed on AUML the class diagrams as a class meta-model of different agents of a MAS. Then we generated the source code of the models developed using an open source tool called AndroMDA. This agent-based and evolutive approach enhances the modularity and genericity developments and promotes their reusability in future developments. This property distinguishes our design methodology of existing methodologies in that it is constrained by any particular agent-based model while providing a library of generic models
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PDF链接：
https://arxiv.org/pdf/1204.1581