智能代理技术在网络集成中的应用

目前,企业内部的各类信息之间不能实现共享已经成为了急待解决的问题。本文提出了一种利用智能代理进行网络集成的方法,较好的解决了上述问题。并以华北石油电网水网实时数据联网信息服务系统为背景,分析了智能代理在网络集成中的地位和作用,智能代理的逻辑结构各部分的实现技术。     

智能移动代理技术在未来电子商务中的应用

系统地研究一种基于智能移动代理技术的未来电子商务的实现模式,并详细探讨该模式所依赖的相关技术及方案.     

知识智能代理技术

知识智能体技术实现了人与知识的连接、知识与人的连接以及人与人之间的连接，同时保证了连接的有效性。知识智能体技术已经成为知识组织的核心技术。本文介绍了知识智能体技术的背景、组成、特点及实现技术，并给出了知识智能体在其典型应用领域——知识管理系统的应用。     

Agent技术研究现状及其在企业集成中的应用

1.引言分布式人工智能(DAI)的研究和网络化分布环境的普及推动了Agent的理论、技术,特别是多Agent的理论、技术的发展,因为它为分布开放系统的分析、设计和实现提供了一个崭新的途径。自从Minsky在1986年出版的“思维的社会”中提出Agent的概念后,智能代理技术随着计算机科学的发展     

论智能代理在网络教学中的应用

虽然网络教学方便了学习者到达世界的任何一个角落，但现有网络教学也有其限制和缺点。智能代理正好克服了当今网络教学的缺点。本文首先论述了国内外智能代理的教学应用研究动态，然后分析了网络教学系统的现状，最后阐述了智能代理在网络教学中的应用。     

移动代理在分布式网络管理中的应用研究

文章比较了集中式网络管理与基于移动代理的网络管理两中模式的优缺点，提出了基于移动代理的分布式网络管理方案，很好地解决了这些问题。     

一个智能代理体系结构模型

本文主要是从技术的角度阐述了智能代理构成,并最终通过对一个简单的智能代理范例中各类技术地位和相互关系的分析给出了代理的一个体系结构模型     

智能代理技术及其在售后服务中的应用

文章主要介绍了一种新的技术—智能代理技术。并在此基础上简要介绍了作者参与的某公司基于多代理的售后服务系统的开发工作,重点介绍了其中的故障技术支持子系统。     

基于智能移动Agent的网络管理思想模型的研究

高性能网络管理是近年来计算机网络领域中最活跃最前沿的研究领域之一。本文提出智能移动Agent思想模型,通过结合移动代码和分布式人工智能技术,克服现有网管模式所固有的弊端,达到网络管理分布化和智能化的目标,为庞大、复杂的网络提供有效的网管解决途径。     

SNMP协议及其在智能家庭网络中的应用研究

通过分析智能家庭网络技术中现存及正在发展的相关技术标准,对智能家庭网络模型的设计及实现方案进行了研究,并提出了运用SNMP管理智能家庭网络的技术实施方案。     

一种基于智能移动Agent的网络管理模型

1.引言网络已深入到社会的各个方面,网络的管理和维护也越来越重要。网络的规模日益庞大,结构也由过去的单一结构变为不同功能、不同协议、不同拓扑结构网络互联的复杂结构。而目前的网络管理体系结构仍以集中式为主,这种模式在管理大型复杂网络时暴露出种种缺陷,如:大量的数据传输和处理均集中在唯一的     

一种基于智能Agent的协同工作模型

计算机支持的协同工作（ＣＳＣＷ）需要研究出适应各种协同工作方式的灵活,开发,可扩充的模型结构,本文以分布式人工智能研究中的智能Ａｇｎｅｔ为系统基本单元,提出了一种基于智能Ａｇｅｎｔ的协同工作模型,给出了它的具体实现。     

基于移动Agent的分布式智能网络管理模型的研究

传统SNMP采取集中管理模式和功能固定的代理,不具有智能性,不易扩展升级,不能及时响应变化,无法适应网络的发展。分布式人工智能中的移动Agent技术给网管提供了新的实现方法。本文系统地研究了基于移动Agem的分布式智能网络管理模型系统,解决其关键技术,并提出完整的ABDINMM2002网管体系结构。     

Decentralized Network Management Using Distributed Artificial Intelligence

Centralized approaches to Network Management have demonstrated a clear inadequacy for efficient management of large and heterogeneous computer networks. Considerable research is being carried out on decentralized approaches for network management. This paper presents the work on a practical application of Distributed Artificial Intelligence for computer network management. The objective is to implement a software platform using only Intelligent Autonomous Agents, integrated with the SNMP environment.     

Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling

This paper introduces MULBS, a new DCOP (distributed constraint optimization problem) algorithm and also presents a DCOP formulation for scheduling of distributed meetings in collaborative environments. Scheduling in CSCWD can be seen as a DCOP where variables represent time slots and values are resources of a production system (machines, raw-materials, hardware components, etc.) or management system (meetings, project tasks, human resources, money, etc). Therefore, a DCOP algorithm must find a set of variable assignments that maximize an objective function taking constraints into account. However, it is well known that such problems are NP-complete and that more research must be done to obtain feasible and reliable computational approaches. Thus, DCOP emerges as a very promising technique: the search space is decomposed into smaller spaces and agents solve local problems, collaborating in order to achieve a global solution. We show with empirical experiments that MULBS outperforms some of the state-of-the-art algorithms for DCOP, guaranteeing high quality solutions using less computational resources for the distributed meeting scheduling task.     

Distributed monitoring and control of office buildings by embedded agents

We describe a decentralized system consisting of a collection of software agents that monitor and control an office building. It uses the existing power lines for communication between the agents and the electrical devices of the building, such as sensors and actuators for lights and heating. The objectives are both energy saving and increasing customer satisfaction through value added services. Results of qualitative simulations and quantitative analysis based on thermodynamical modeling of an office building and its staff using four different approaches for controlling the building indicate that significant energy savings can result from using the agent-based approach. The evaluation also shows that customer satisfaction can be increased in most situations. The approach here presented makes it possible to control the trade-off between energy saving and customer satisfaction (and actually increase both, in comparison with current approaches).     

基于DIA的分布式智能网络故障管理

介绍了网络故障管理的基本功能与方法,并针对故障管理过程中面临的问题与困难,在同已有技术相比较的基础上,引入多种人工智能技术来实现复杂的故障管理。同时,考虑到网络的分布性、动态性,提出了将智能Agent技术与故障诊断技术相结合,实现分布式基于智能Agent的网络故障管理。     

Conceptualizing a shared language subsystem for distributed decision support systems

Researchers have only recently begun to develop formal architectures for support systems that capitalize on advancements in distributed technologies. Conceptual models have been proposed for distributed versions of both DSS and GDSS. To date, however, these developments have largely been limited to techniques employing shared global data spaces. Research on other approaches to distributed support systems development, including that based on the shared language techniques of distributed artificial intelligence, is still lagging. To introduce this research area, this paper reviews architectural principles for distributed decision support and develops the notion of a shared language as an extension of the DSS language subsystem.     

Integration framework for intelligent manufacturing processes

In this article, we describe a new approach to applying distributed artificial intelligence techniques to manufacturing processes. The construction of intelligent systems is one of the most important techniques among artificial intelligence research. Our goal is to develop an integrated intelligent system for real time manufacturing processes. An integrated intelligent system is a large knowledge integration environment that consists of several symbolic reasoning systems (expert systems) and numerical computation packages. These software programs are controlled by a meta-system which manages the selection, operation and communication of these programs. A meta-system can be implemented in different language environments and applied to many disciplines. This new architecture can serve as a universal configuration to develop high performance intelligent systems for many complicated industrial applications in real world domains.To whom all correspondence should be addressed.