基于Agent的个性化智能信息检索系统

Internet空问中的信息资源是异构的．人们要想从Internet中发现、收集和维护自己需要的信息则要花费大量的时间和精力。虽然目前Internet上有很多的搜索引擎,如Yahoo、搜狐等,但这些引擎还存在着不少缺陷,如在适应用户兴趣、交互方式等方面均存在着不足。人们迫切需要一种工具以有效地利用Internet信息空间中的各种信息资源。本文是针对当前Internet检索系统中存在的不足,开发设计了一个“基于Agent个性化智能信息检索系统”。该系统的研究内容属目前智能信息检索领域的重要课题。     

基于多智能体的无人作战多武器防御系统体系结构研究

重点以无人作战武器防御系统为背景,深入研究交互式智能体体系结构的应用,并对智能体的协调机制、通信机制、不完全全局规划方法,协进化方法等作了较深入的阐述。     

基于HLA的多代理环境

由于对智能代理应用需求的不断增长,代理间合作与相互通信变得越来越重要。代理很少孤立存在,它需要一个环境来作为其宿主以支持通信与信息发布。该文介绍了利用HLA／RTI作为多代理环境的优点,以及设计实现代理行为体系结构的方法。最后文章给出了一个海军战斗想定的实例。     

Extensible soft semantic web services agent

Web services technology is critical for the success of business integration and other application fields such as bioinformatics. However, there are two challenges facing the practicality of Web services: (a) efficient location of the Web service registries that contain the requested Web services and (b) efficient retrieval of the requested services from these registries with high quality of service (QoS). The main reason for this problem is that current Web services technology is not semantic-oriented. Several proposals have been made to add semantics to Web services to facilitate discovery and composition of relevant Web services. Such proposals are being referred to as semantic Web services (SWS). However, most of these proposals do not address the second problem of retrieval of web services with high QoS. In this paper, we propose a framework called soft semantic Web services agent (soft SWS agent) for providing high QoS Semantic Web services using soft computing methodology. Since different application domains have different requirement for QoS, it is impractical to use classical mathematical modeling methods to evaluate the QoS of semantic Web services. We use fuzzy neural networks with Genetic Algorithms (GA) as our study case. Simulation results show that the soft computing methodology is practicable to handle fuzzy and uncertain QoS metrics effectively.     

Context-aware agents for user-oriented web services discovery and execution

Service-oriented computing (SOC) suggests that the Internet will be an open repository of many modular capabilities realized as web services. Organizations may be able to leverage this SOC paradigm if their employees are able to ubiquitously incorporate such capabilities and their resulting information into their daily practices. It is impractical to assume that human users will be able to manually search vast distributed repositories at real-time. This paper presents an architecture, Software Agent-Based Groupware using E-services (SAGE), that incorporates the use of intelligent agents to integrate human users with web services. SAGE provides background search and discovery approaches, thus enabling human users to exploit service-based capabilities that were previously too time-consuming to locate and integrate. We present a multi-agent system where each agent learns the rule-based preferences of a human user with regards to their current operational “context” and manages the incorporation of relevant web services. Recommended by: Djamal Benslimane and Zakaria Maamar     

An infrastructure to support cooperation of knowledge-level agents on the semantic Grid

Can a Knowledge-Level layer be located in the Semantic Grid infrastructure? Is it possible to design an Agent Communication Language (ACL) which enables Knowledge-Level agents to cooperate in a geographically distributed Semantic Grid despite nodes’ failures or malfunctions? This paper tries to address the above Semantic Grid challenges presenting an agent-based Open Service Architecture which integrates geographically distributed agents in a Semantic Grid. The architecture is well integrated with standard Internet components and technologies and supports communication among Knowledge-Level agents. The role of agents is to retrieve, execute and compose available services providing more sophisticated instances of them. Inter-agent communication is realized by exploiting an advanced Agent Communication Language which supports a fault-tolerant anonymous interaction protocol and satisfies a set of well defined Knowledge-Level programming requirements. Here, we present the design of the architecture and of the Agent Communication Language as well as their implementation. The architecture is evaluated by means of several case studies which highlight the main feature of our proposal. The main advantage of our approach is to demonstrate that different issues, such as high level inter-agent communication and fault tolerance, can be successfully integrated in Grid infrastructures which provide Web Services maintaining a clean design of the architecture and a Knowledge-Level characterization.     

一个基于Agent的个性化推荐系统

目前的推荐系统有基于文本过滤、基于协同过滤、基于Web挖掘等多种类型,但都只适用于某个应用领域,难以满足推荐应用的多种推荐需求。引入网络智能的思想,利用多Agent（智能代理）技术提出了一个基于Agent的个性化推荐系统架构——ABPRS。该推荐系统能满足多种推荐需求,在用户看来网络具有一定智能。     

基于XML的异构环境的Mobile Agents架构

移动Agent技术是集软件Agent技术、移动代码技术、分布式对象技术于一体的技术.移动Agent的编程语言限制了Agent平台的执行环境.然而由于java虚拟机的出现,Java的程序可以不需重新编译,就进行迁移.但是java的移动代理也需要架设平台上有java虚拟机的环境.为了实现一个真正的异构环境的系统,使用基于XML的移动Agent架构,即使用基于XML的移动Agent代码、使用UDDI技术来为Agent注册和查询、Web Services技术来进行通信.它更容易在异构的系统环境中相互通信和操作并更容易实现和在各种环境中得到运用.     

智能服务--Web服务和语义Web集成研究

现有Web主要是为人使用Web上的内容设计,如何自动发现、执行、组合及互操作Web上的信息,提供智能服务,是Web服务努力的方向,Web服务虽然也制定了发现、描述、信息交换的标准,但这些标准不支持智能服务,其原因是现有Web服务缺乏清楚的语义标记,该文提出将语义Web技术和Web服务结合来实现智能服务的思想,即为Web服务增加语义标记以实现Web服务的智能性,并就其可行性进行了阐述,最后给出了具体实现的方法。     

软件构架及其评估方法的研究

软件构架是软件工程中的重要研究领域,对软件大型复杂系统具有重要意义。采用恰当的构架是项目成功的第1步,所以好的软件构架及其评估是系统开发的关键所在。对软件构架的基本原理和结构进行了探讨,并对评估及评估方法做出了详细评析。在软件开发过程中采用软件构架,会为提高软件质量以及降低软件成本提供有力保障。     

Web挖掘在公务员个性化在线学习系统中的应用

如何挖掘学习者学习特征是公务员个性化学习系统设计的核心和重点,Web挖掘技术是解决这一问题的有力工具.通过分析和研究Web挖掘的分类和过程,给出了基于Web挖掘的个性化在线学习的系统架构及算法思想.     

基于Agent技术的智能软件协同开发研究

结合协同开发和Agent技术,构造了一个基于Agent组件的智能软件协同开发模型CMISA,对模型的组成元素进行了语义定义,并阐述了模型的设计思想。实现从传统软件结构到智能软件结构的转变,从实体单元的被动性到主动自主性的转变,使开发出来的软件具有典型的智能特征。     

一种面向大型网络的网络管理框架

对于大型网络管理系统而言,高度的扩展性是一个重要的指标,但传统的网络管理系统不能够满足这方面的需求。该文提出了一种框架结构,该结构采用了分层次的思想,使用了包括LDAP、Web、智能代理等在内的一些新技术,可以很好地解决扩展性问题。     

Intelligent agents for the management of complexity in multimodal biometrics

Current approaches to personal identity authentication using a single biometric technology are limited, principally because no single biometric is generally considered both sufficiently accurate and user-acceptable for universal application. Multimodal biometrics can provide a more adaptable solution to the security and convenience requirements of many applications. However, such an approach can also lead to additional complexity in the design and management of authentication systems. Additionally, complex hierarchies of security levels and interacting user/provider requirements demand that authentication systems are adaptive and flexible in configuration. In this paper we consider the integration of multimodal biometrics using intelligent agents to address issues of complexity management. The work reported here is part of a major project designated IAMBIC (Intelligent Agents for Multimodal Biometric Identification and Control), aimed at exploring the application of the intelligent agent metaphor to the field of biometric authentication. The paper provides an introduction to a first-level architecture for such a system, and demonstrates how this architecture can provide a framework for the effective control and management of access to data and systems where issues of privacy, confidentiality and trust are of primary concern. Novel approaches to software agent design and agent implementation strategies required for this architecture are also highlighted. The paper further shows how such a structure can define a fundamental paradigm to support the realisation of universal access in situations where data integrity and confidentiality must be robustly and reliably protected .     

基于Web的分布式数据仓库体系结构的研究*

随着数据仓库技术的发展,人们对数据仓库体系结构研究的兴趣越来越浓厚,数据仓库体系结构选取是否合理,将直接关系到整个数据仓库的成败。在分析客户机、服务器数据仓库体系结构的基础上,将XML、智能Agent技术引入到数据仓库中,提出了一种基于Web的分布式数据仓库体系结构。     

智能代理语言系统研究

本文主要了智能代理语言系统的基本概念以及智能代理理论的关系,提出了智能代理语言系类型划分方法、智能代理语言系统的特性和智能肛理语言系统设计方法,并把智能代理编程与面向对象编程、结构化编程方法进行了比较。     

智能互联网

Intelligent Web functions essentially as an autonomic entity. The Web automatically regulates the func-tions and cooperation of related Web sites and available application services. In the paper we will discuss the key is-sues related to the intelligent Web, such as semantic representation, Agent, resource management, service manage-ment, Web mininlz and so on.