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1.
目前MAS信任模型研究关注的焦点是信任管理的微观机制设计,而从这些微观机制到系统的宏观特性,并不是显而易见的.因此,这些研究都采用了仿真分析.但是这些仿真实验的设计大多缺乏理论指导,往往不能正确反映系统的宏观特性.引入系统科学中的涌现视角来审视MAS,探讨基于涌现视角的MAS信任模型仿真分析方法.这一方法从相对清晰的微观层面入手,建立仿真运行模型;在充分考虑的相关宏观约束下,研究系统宏观层面的问题以及微观和宏观之间的联系.总结分析了信任模型微观机制的设计图式,在此基础上探讨了仿真Agent的设计框架;讨论了信任模型仿真分析中应考虑的宏观问题,包括宏观约束、威胁模型、评价指标以及仿真执行中的问题,最后实例验证了此方法的有效性.  相似文献   

2.
基于复杂性科学基本概念的MAS涌现性量化研究   总被引:1,自引:0,他引:1  
在MAS(Multi-Agent System)领域,面向涌现的MAS研究将MAS看成一类特殊的复杂系统,其关注点是MAS宏观层面的涌现性问题.这类研究需要借用复杂性科学研究中的一些基本概念描述、阐述MAS涌现性研究中的问题.文中着重对几个常用的基本概念及其量化研究做一概览,以深化对它们的认识,并结合这些概念及其量化研究在MAS涌现性研究中的应用特点,阐明它们对面向涌现的MAS研究的作用,以促进进一步的研究.这些概念包括复杂性、混沌边缘、自组织、涌现、适应和进化等.  相似文献   

3.
多智能体的分布式智能故障诊断   总被引:14,自引:0,他引:14       下载免费PDF全文
基于分布式人工智能的思想 ,将多Agent技术引入复杂故障诊断领域 ,分析了基于MAS的分布式智能故障诊断方法和过程 ;讨论了基于模式聚类的故障求解机制及对诊断问题任务辨识、分解 ;研究了多Agent宏观上的约束和关联 ;设计了应用Agent工作状态的表达机制 ;确定了应用Agent间的工作状态影响关系及多Agent间的交互、协作和通讯 ;构建了多Agent模糊关联模型 ;给出了多Agent诊断系统局部诊断决策与全局诊断决策的集成描述结构 ;建立了一种分布式Agent诊断系统结构及其原型系统 .在某电力企  相似文献   

4.
面向Agent的分析设计方法在大型系统研究开发中的应用   总被引:4,自引:0,他引:4  
本文通过对Agent模型及多Agent系统体系结构 的研究,分析了面向Agent的分析设计方法的特点,总结了面向Agent的分析设计方法在大型 工程系统研究与开发中的主要应用,包括在先进制造领域的应用系统设计、机器人的协作控 制以及在INTERNET上的应用,指出了面向Agent的分析设计方法的意义.  相似文献   

5.
针对传统方法缺少涌现性判断和涌现性度量不全面的问题,将自组织、复杂网络等复杂性科学理论与基于仿真的系统宏观分析方法相结合,提出了一种多角度CAS合作涌现量化分析方法.分析复杂适应系统网络拓扑特性,建立其合作涌现评估指标参数集;借助仿真实时捕获网络拓扑的动态演化特征,通过自组织临界判断,界定合作涌现的发生;从网络复杂性、涌现结构和涌现价值3个角度考虑,建立合作涌现效能评估模型,探究涌现性结论;通过DDoS协同防御涌现研究实例验证了方法的有效性.  相似文献   

6.
为解决传统工作流管理系统中存在的问题,Agent技术被越来越多地引入到工作流管理系统中.针对面向系统的工作流程,结合多Agent的设计概念,从实现角度提出以多Agent为基础的工作流管理系统架构.首先介绍了模型的工作机制,并采用面向Agent的软件工程方法--Gaia建模方法进行分析与设计,依据需求定义了系统运作中的Agent管理本体与Agent设计基本架构,最后以会议论文管理系统为例在JADE平台下进行实现,该架构为设计人员开发基于Agent的工作流管理系统提供了参考依据.  相似文献   

7.
复杂系统涌现与基于整体论的多智能体分析   总被引:1,自引:0,他引:1       下载免费PDF全文
研究复杂系统整体性,尤其整体性的涌现是现代科学技术研究的重要课题和难题。企图用多智能体的办法,甚至用自适应多智能体的办法来剖析系统的整体性,从系统方法学上来讲,显然是偏面的,不恰当的。本文从复杂系统整体性和涌现的基本概念出发,指出必须采用微观到宏观,再从宏观到微观相结合的整体论分析方法;提出了基于整体论的多智能体分析总体框架;通过系统整体性和涌现的区别与联系的探讨,又明确提出了在整体性分析中可采用数学、逻辑和实验(仿真)等三种不同的方法;最后,给出了适用于分析复杂系统整体性及其涌现的基于整体论的多智能体参考体系结构[1]。  相似文献   

8.
自适应多Agent系统的面向Agent软件开发方法学ODAM   总被引:3,自引:0,他引:3  
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.  相似文献   

9.
多Agent系统的技术研究   总被引:6,自引:2,他引:4  
多Agent系统是由多个智能Agent组成的有机系统,这使得它具有比单个Agent更强大的处理能力.它表现出自组织性、鲁棒性、分布性以及很强的复杂行为.文中论述了Agent和多Agent系统的有关理论、方法和技术.主要包括智能Agent的特性、结构和推理;介绍多Agent系统的体系结构分类和常见的几种通信机制;以及面向Agent的程序设计的现状和发展.  相似文献   

10.
胡翠云  毛新军  陈寅 《软件学报》2012,23(11):2923-2936
当前,面向Agent程序设计在支持动态开放多Agent系统开发方面存在一系列的不足,如缺乏高层抽象、底层实现模型与高层设计模型相脱节、在支持系统动态性方面缺乏有效的运行机制和语言设施等.针对这些问题,提出一种基于组织的面向Agent程序设计方法.该方法将组织、Group、角色和Agent等高层抽象作为一阶实体,缩小了多Agent系统的设计模型与实现模型之间的概念鸿沟;借助于组织学中的机制——角色扮演机制、基于角色的交互——支持系统动态性的规约和实现,如Agent行为的动态组合、动态的交互等,基于该程序设计思想,设计了基于组织的面向Agent程序设计语言——Oragent,定义了其抽象语法和形式语义,并通过案例分析说明了如何基于该程序设计思想和Oragent语言来构造和实现动态而灵活的多Agent系统.  相似文献   

11.
In distributed and open environments, MASs (multiagent systems) generally have no mechanisms for prior coordination and self‐organization has been believed to be the necessary selection to achieve the coordination of agents. This paper first presents a values‐driven model for self‐organization in which the expected emergent properties of a system are specified as the social values while the social values are realized via implicitly inducing members to regulate their individual values and adjust their behaviors to fit the expectations of the system. Based on the values‐driven self‐organization, this paper proposes an automated coordination mechanism for decentralized MASs. In this mechanism, by indirectly changing the difficulties in acquiring resources (which may be delegated to some special agents since MASs generally do not have substantial bodies), MASs can lead agents to regulate their values to be consistent with the social values of MASs so that the coordination of MASs can spontaneously emerge from the local behaviors of agents. Finally, this paper implements a simulation traffic system using the coordination mechanism based on values‐driven self‐organization to validate the emergence of coordination among multiple agents.  相似文献   

12.
Multi-agent Systems (MASs) are one of the main fields of distributed systems. MASs are based on autonomous entities that cooperate obtaining emergent behaviors, and can be useful for integrating open systems. However, the great diversity of agent-oriented modeling languages (AOMLs) hinders the understanding and interchange of MAS models. Most MAS concepts are shared among the AOMLs. However, these concepts have certain peculiarities in each AOML, such as the expected behavior and concrete syntax. This paper presents a metamodeling solution for the integration of the AOML diversity that uses the powertype pattern. In this pattern, the clabjects represent concept subtypes and are instantiated in models. MAS designers can change the clabject properties to indicate the peculiarities of each concept subtype, depending on the particular needs. Each designer can understand models of other experts by consulting the peculiarities of concepts in models. This solution is the Inter-methodology AOML, which is supported with a graphical modeling tool. This tool is created with a model-driven development approach. This work presents this AOML as a first step of a potential standardization process in the modeling of MASs. In addition, the Ingenias Development Kit tool, an existing agent-oriented software engineering tool, is adapted to export models to the presented AOML. The proposed Inter-methodology AOML is quantitatively compared with other AOMLs in nine different problem domains, and this comparison shows that the proposed Inter-methodology AOML can determine a higher proportion of concepts in these domains than other AOMLs. The presented AOML is also evaluated and validated with its mapping to FAML.  相似文献   

13.
Collective behaviour in nature provides a source of inspiration for engineering artificial systems (e.g. robotics, ecosystems of services), due to their inherent mechanisms favouring adaptation to environmental changes and enabling complex emergent behaviour to arise from a relatively simple behaviour of individual entities. The first-order emergence, also referred to as swarm intelligence, is well studied, while higher order levels of emergent behaviour have not received much attention yet. Second-order emergent behaviour arises from the interactions of individuals, which are themselves the result of first-order emergent behaviour. Dictyostelium discoideum provides a compelling case for studying both first- and second-order emergence. Individual cells move around on their own when there is plenty of food. When food is scarce, cells self-aggregate towards a leading center cell (first-order emergent behaviour) to build a super-organism, similar to a slug. The slug displays properties that none of the cells has on its own (e.g. sensitivity to light and heat). It moves as a whole (second-order emergent behaviour) looking for a suitable place to transform into a fruiting body (also known as sporocarp), where later the cells resume their individual behaviour. This paper focuses specifically on the aggregation and migration phases of Dictyostelium discoideum. We present two agent-based models, implemented in Matlab for first order and Python for second order. They display a series of emergent properties, among others homogeneous aggregation territories size (first order) and merging of slugs or new property as sensitivity to light (second order). Future works involve implementing and experimenting both first- and second-order emergence in swarm robotics, and identification of design patterns for engineering higher order emergent behaviour in artificial systems.  相似文献   

14.
信息系统的动态进化是其适应IT发展、组织业务和环境变化需求的一种重要能力,特别是在实时系统和分布式系统当中,正引起学者的广泛关注和深入研究。综述了相关领域的研究成果,并提出用系统化的建模方法,从信息系统动态进化的行为连续性、触发机制、系统化的抽象层次三个角度来研究信息系统的动态进化。这一系列的信息系统动态进化理论和提出的系统建模方法、建议的工具、系统构架构成了一定的动态进化导向的信息系统分析和设计的方法论,推动当前相关领域的理论研究和实践探索。  相似文献   

15.
Currently engineering analysis is regarded as an integrated part of design process and medial axis (MA) is often utilized. However, the generation of MA of complicated models is computation intensive since it is always generated from scratch even if a tiny modification is imposed. A novel local adaptation-based approach to generating the MA for efficient engineering analysis is proposed in this study. With this method, the MA of a resultant model constructed from two other models via a Boolean operation or parameter modification is generated by adapting the MAs of the operand models in a certain way, instead of regenerating the MA from scratch. First, several new properties of the MA which are the fundamental basis of the proposed method are investigated. Then, the boundaries that will vanish from or be added into the resultant model during the Boolean operation or parameter modification are found, and the region in which the MA segments (MASs) need to be regenerated is determined. Finally, the new MASs are generated for the region using an improved tracing method. The final MA of the resultant model is thus constructed by combining the newly generated MASs with the reserved MASs of the operated model(s). Some examples are given to illustrate the high computational efficiency of the proposed method for engineering analysis.  相似文献   

16.
生物神经内分泌和免疫系统通过复杂的调节,构成了一个智能的生物网络.本文借鉴系统突现的自组织、自聚集和自协作特性及复杂的双向调节机制,提出了Web服务突现的研究方法.基于移动Agent设计具有免疫行为的生物实体并代理Web服务,服务请求是由突现形成的生物实体网络提供,生物实体通过自组织协作完成服务的动态合成和自主管理管理等一系列工作.Web服务突现模型由Java开发的功能模块和平台组成,并利用Linear Logic设计了实体的协商.  相似文献   

17.
Software engineers of multi‐agent systems (MASs) are faced with different concerns such as autonomy, adaptation, interaction, collaboration, learning, and mobility, which are essentially different from classical concerns addressed in object‐oriented software engineering. MAS developers, however, have relied mostly on object‐oriented design techniques and programming languages, such as Java. This often leads to a poor separation of MAS concerns and in turn to the production of MASs that are difficult to maintain and reuse. This paper discusses software engineering approaches for MASs, and presents a new method for integrating agents into object‐oriented software engineering from an early stage of design. The proposed approach encourages the separate handling of MAS concerns, and provides a disciplined scheme for their composition. Our proposal explores the benefits of aspect‐oriented software development for the incorporation of agents into object‐oriented systems. We also illustrate our aspect‐oriented approach through the Portalware multi‐agent system, a Web‐based environment for the development of e‐commerce portals. Copyright © 2004 John Wiley & Sons, Ltd.  相似文献   

18.
ABSTRACT

In existing researches on containment control of heterogeneous multi-agent systems (MASs), the solution is usually dependent on the solvability of regulator equations. However, the closed-form solution of many nonlinear regulator equations of systems is rarely obtained. Towards this end, in this paper the containment control problem of heterogeneous discrete-time nonlinear MASs subject to parameter uncertainties is considered, and the power series approach is adopted to solve complex regulator equations by decomposing them into a series of solvable linear equations. Then, a distributed robust control law based on internal model principle is presented by utilising the solution of the linear equations. Theoretical analysis shows that under certain assumptions asymptotic containment control is achieved for the heterogeneous discrete-time nonlinear MASs with sufficiently small parameter perturbations. Finally, a numerical simulation is implemented to verify the proposed control law.  相似文献   

19.
A multi-agent system (MAS) is a distributed system that consists of multiple agents working together to solve mutual problems. Even though MASs are well suited for the development of complex distributed systems, the number of real-world usages is still small. One of the main reasons for this is that MASs are very fragile. In a typical, large-scale MAS, the rate of failure grows with the number of hosts, the number of deployed agents, and the duration of the agent’s task execution. For this reason, numerous approaches have been introduced to deal with aspects of failure handling. However, the absence of centralized control and a large number of individual intelligent components makes it difficult to detect and treat errors. The risk of uncontrollable fault propagation is high and can seriously impact on system performance. There are two important factors that limit the usage of MASs: (1) existing fault tolerance (FT) approaches are not generic, as they focus on and improve specific issues of FT; and (2) despite the plethora of available FT approaches and theories, there is a remarkable lack of general metrics, tools, benchmarks, and experimental methods for formal validation and comparison of existing or newly developed FT approaches. As FT approaches in MASs become a well-established field, the need for generalized, standardized evaluation of FT approaches emerges as imperative. In this paper, we first present a detailed overview of existing FT solutions, approaches, and techniques in agent platform hosted MASs. From that overview, we derive the commonalities in existing research. Next, we present the main contribution of our paper: an evaluation methodology, with a set of metrics, for comparing FT approaches in MASs. We adopt an engineering perspective on the problem, defining a methodology and metrics that are both implementation- and domain-independent. The metrics are formalized with an acyclic directed graph. By using our methodology, evaluators can select an appropriate FT approach for targeted MAS application, thus improving MAS usability, stability, and development speed. In order to show the viability of our approach, a case study that compares two FT approaches for a targeted MAS is presented. The case study results show that our methodology can be used for selecting an appropriate FT approach for the targeted MAS.  相似文献   

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