一种用于多Agent系统的领域工程方法

现有的面向Agent的软件工程方法没有考虑多Agent系统中的横切关切并且存在Agent概念过于抽象,不能有效地指导详细设计和实现的问题。该文提出一个基于多Agent领域元模型MBGDE,开发多Agent领域的领域特定语言MASDSL和多Agent框架GMAF,集成面向方面的软件开发技术以捕捉横切关切,使用产生器将Agent概念映射成具体设计和实现,提高了多Agent系统的开发效率和质量。     

变电站智能诊断和维护系统体系结构研究

采用多Agent技术对变电站智能诊断和维护系统的体系结构进行了研究。在此基础上给出了基于多Agent的变电站智能诊断和维护系统体系结构模型,构建了该模型下各层Agent的体系结构,并对各层Agent的功能、协调控制机制和系统工作原理进行了说明,最后在研究结果的基础上,提出后续研究需要考虑的问题,为变电站智能诊断和维护系统的研究和开发提供了参考和思路。     

Agent协作中的一种选择算法的实现

多Agent系统是一种协同工作系统,多Agent系统在完成任务时所选择的任务组织者对任务完成质量的成坏至关重要。在给出一个多Agent系统组织模型的基础上,提出了一种选择算法,该算法在选择合作时既考虑了Agent完成任务的历史情况,又考虑了Agent能力的变化,从而保证了完成任务的成功率和系统灵活性。     

通用的移动Agent系统快速集成开发环境

在研究多种Agent系统的体系结构的基础上给出通用的多Agent系统平台和移动Agent的体系结构,并在开源的JADE上实现了一个通用的移动Agent系统快速集成开发环境原型,采用“Framework-plugin”和分层的设计模式,通过对配置文件的动态加载可以快速灵活地建造适用不同要求和具有不同属性的移动Agent系统。     

自适应多Agent系统的面向Agent软件开发方法学ODAM

面向Agent软件工程被视为是一种可有效支持复杂系统开发的新颖软件开发范型.为支持复杂多Agent系统的开发,面向Agent软件工程的研究需发挥Agent技术的潜力和灵活性,借鉴软件工程领域已取得的成果,提出了一个面向Agent软件开发方法学ODAM以支持自适应多Agent系统的开发.ODAM以动态绑定机制作为自适应多Agent系统的核心机制,借助于组织学的概念和思想对自适应多Agent系统进行高层抽象和自然建模,以管理和控制系统的复杂度;集成了迭代开发和MDA方法以适应Agent技术平台的多样性,简化复杂自适应系统的开发.介绍了ODAM的方法学框架和具体的技术细节,包括动态绑定机制、基于组织抽象的元模型和建模语言、基于迭代开发和MDA的软件开发过程,并进行了案例分析.     

基于多Agent的分布式故障智能诊断原型系统研究

近年来，基于多Agent的分布式故障系统已成功地应用于众多领域，本文将多Agent技术应用于故障诊断领域研究，以开发故障智能诊断的多Agent系统，提出了基于原型系统 的基本框架和系统实现途径及方法，其中着重研究了基于多Agent理论的诊断问题分布式任务分解与控制问题，以及诊断Agent之间的协调合作问题，原型系统的研究，为实际应用系统的研制开发提供了理论指导和方法依据。     

基于Agent的分布式专家系统的协作过程中学习问题的研究

本文介绍了分布式人工智能领域中一种多 Agent系统 ( MAS)体系结构 ,在此基础上研究了各个 Agent在招投标过程中关于标价的学习问题 ,并在选标时考虑了多个动态因素 ,使得系统总体任务高效 ,高质量地完成     

基于复用的多Agent系统开发及支持工具设计

基于软件复用的思想,提出了一个层次式多Agent系统开发方法。多Agent系统按抽象级别由低到高可分为遗留构件层、行为层、Agent层和Agent社会层,依次实现了功能级、能力级、自主级和社会级抽象。该方法的优点是可利用现有复用资源快速开发实现多Agent系统,提高多Agent系统的开发速度和效率。开发了一个工具集VAStudio来支持上述方法。在电力系统、电子拍卖等领域的初步应用表明该方法在效率和速度方面有显著优势。     

强弱例外下的交互时态逻辑

非单调推理是众多人工智能应用系统都可能面对的问题,多Agent系统也不例外。在前期关于Agent BDI逻辑、多Agent合作逻辑、多Agent合作问题求解过程建模等研究工作的基础上,借鉴Baral等人开发非单调线性时态逻辑N-LTL的技术,利用强弱例外对多Agent合作逻辑的开创性工作交互时态逻辑(ATL)进行拓展,建立非单调交互时态逻辑NATL,给出其语法和语义。是对ATL进行非单调拓展的首次有益尝试。可以考虑以之为理论工具对多Agent思维状态及其动态修正机制进行妥善刻画。     

基于MaSE和JADE的智能会议系统研究与设计

研究了Agent技术在处理分布式系统中的问题,说明了应用MaSE(multi-agent systems engineering)方法、JADE(java agent development framework)架构和开发工具Agent Tool构建多Agent系统的优点,并与原有方法进行了比较,开发了应用面向对象方法分析与设计的智能会议日程安排系统,阐述了系统的执行过程.该系统具有自治性,可自动地确定会议日程,并为多噜Agent系统的研究提供了基础.     

基于多Agent的分布式虚拟设计/制造系统研究

文章首先分析了在分布式虚拟设计/制造系统中结合多Agent技术的必要性,然后给出了一种基于多Agent的分布式虚拟设计/制造系统的实现方案,并详细地描述了部分组成和功能。     

Distributed Computation Multi-agent System

This article addresses a formal model of a distributed computation multi-agent system. This model has evolved from the experimental research on using multi-agent systems as a ground for developing fuzzy cognitive maps. The main paper contribution is a distributed computation multi-agent system definition and mathematical formalization based on automata theory. This mathematical formalization is tested by developing distributed computation multi-agent systems for fuzzy cognitive maps and artificial neural networks – two typical distributed computation systems. Fuzzy cognitive maps are distributed computation systems used for qualitative modeling and behavior simulation, while artificial neural networks are used for modeling and simulating complex systems by creating a non-linear statistical data model. An artificial neural network encapsulates in its structure data patterns that are hidden in the data used to create the network. Both of these systems are well suited for formal model testing. We have used evolutionary incremental development as an agent design method which has shown to be a good approach to develop multi-agent systems according to the formal model of a distributed computation multi-agent system.     

多智能体系统安全性问题及防御机制综述

多智能体系统作为分布式人工智能的重要分支,已成为解决大型、复杂、分布式及难预测问题的重要手段。在开放网络中,多智能体系统仍面临许多安全问题,潜在的安全威胁很可能影响其实际应用的稳定性、快速性和准确性。基于目前已知的多智能体系统通用模型,介绍了多智能体系统通信协议、访问控制和协调机制中潜在的安全问题,规范了多智能体系统安全性问题的研究体系,总结了系统设计过程中可行的防御技术和隐私保护技术,最后展望了多智能体系统安全研究的发展方向。     

Development of a multi-agent-based distributed simulation platform for semiconductor manufacturing

Since the semiconductor manufacturing system is a large-scale complex system, it is difficult to solve complex problems in semiconductor manufacturing by the mathematical modeling method. This paper presents a multi-agent-based distributed simulation platform to support the extremely complex semiconductor manufacturing analysis. A multi-agent-based distributed simulation platform framework and a multi-agent collaborative control model are proposed to provide a flexible infrastructure and a multi-agent coordination mechanism in distributed environment for semiconductor manufacturing simulation. A multi-agent time synchronization model for distributed simulation is designed to keep events in the correct logical time order in simulation and steps of time synchronization are given. An interaction model and message formats are presented to describe how agents communicate with each other in simulation. The platform development and the design of graphical user interface are also exploited in this paper. Finally, evaluation of this multi-agent-based platform was illustrated with a case study. It indicates that the platform is effective in modeling and simulating the complex semiconductor manufacturing and provides the insights about how to improve the semiconductor manufacturing process with well targeted measures.     

基于Agent分布式仪表产品造型协同设计应用研究

基于Agent代理,提出将Web技术和Multi-Agent技术融合的分布式协同设计系统,为产品设计过程中设计人员之间的信息共享和资源共享提供了更有效的方法.在分析系统体系结构的基础上,着重阐述了Multi-Agent代理模型和工作原理,并将其应用于仪表产品造型设计系统中,实现基于Agent的分布式仪表产品造型设计原型系统.     

Distributed event-triggered output regulation of multi-agent systems

Motivated by the future use of embedded microprocessors with limited resources and limited computational resources, the distributed output regulation with event-driven strategies problem of linear multi-agent systems is considered in this paper. The main task is to design distributed feedback by employing event-triggered technique for multi-agent systems such that all agents can track an active leader, and/or distributed disturbance rejection. Both leader and disturbance are generated by some external system (exosystem). Both distributed static and dynamic feedback with event-triggered strategy are constructed here. Then, the input-to-state stability of the closed-loop multi-agent system is analysed. Finally, a numerical example is given to validate the proposed control.     

基于切换拓扑的多智能体协作控制研究综述

多智能体系统一直是众多学科领域研究的主要研究对象,基于切换拓扑的多智能体协作控制理论研究作为多智能体系统研究的重要部分,一直是近年来的热点。为了推进基于切换拓扑的多智能体协作控制理论研究,在广泛调研现有文献和最新成果的基础上,从一致性问题、分布式优化问题和分布式估计问题三个方面对该领域的发展现状进行了总结;探讨了诸如一致性协议的设计、一致性协议的性能分析方法及其优缺点、分布式优化的实现方式和分布式估计的实际应用。最后指出当前该领域尚未解决的问题和未来的研究方向。     

Agent co-ordination aided distributed computational engineering design

Co-ordination is a key research area in engineering design and distributed artificial intelligence, as well as a number of other disciplines. This paper highlights the need for co-ordination within distributed computational design environments. The key characteristics of co-ordination identified are coherence, communication, task management, resource management, schedule management, and real-time support. These key characteristics are integrated within a methodology, which is realised in a multi-agent system aimed at co-ordinating distributed computational design. Co-ordination in real-time is responsive and adaptive to changes in the distributed environment, such that the computational design analysis can be performed in an efficient manner. The agent-based co-ordination system has been applied to two case studies. Firstly, to a theoretical research-based case study related to an aspect of structural analysis involved in conceptual aircraft wing design. Secondly, the system is applied to a practical industrial-based case study involving turbine blade design. In both case studies the multi-agent system enables the respective computational design analysis to be conducted in a coherent and organised fashion making more efficient use of time and resources.     

基于多Agent的会议制订系统MSS/MAS

MSS/MAS系统是一种基于多Agent的分布式会议自动制订系统。它的协商方式是基于非终止主动合作计算模型,具有良好的理论背景。我们利用多Agent间的合作关系设计系统并实现高效的会议制定功能,因此MSS/MAS系统是一种具有较强应用价值的多Agent系统。     

Agent co-ordination aided distributed computational engineering design

Co-ordination is a key research area in engineering design and distributed artificial intelligence, as well as a number of other disciplines. This paper highlights the need for co-ordination within distributed computational design environments. The key characteristics of co-ordination identified are coherence, communication, task management, resource management, schedule management, and real-time support. These key characteristics are integrated within a methodology, which is realised in a multi-agent system aimed at co-ordinating distributed computational design. Co-ordination in real-time is responsive and adaptive to changes in the distributed environment, such that the computational design analysis can be performed in an efficient manner. The agent-based co-ordination system has been applied to two case studies. Firstly, to a theoretical research-based case study related to an aspect of structural analysis involved in conceptual aircraft wing design. Secondly, the system is applied to a practical industrial-based case study involving turbine blade design. In both case studies the multi-agent system enables the respective computational design analysis to be conducted in a coherent and organised fashion making more efficient use of time and resources.