基于ZEUS的智能电子商务交易系统设计

传统电子商务系统无法让多个买卖双方就价格、性能、折扣等问题进行即时协商.利用智能体技术实现采购和交易过程的智能化是电子商务系统的发展趋势.ZEUS是基于Java语言的多智能体开发平台和运行环境,并提供了对智能体的管理及通信控制.将ZEUS与电子商务结合,可以构建智能电子商务系统,实现多个买方和卖方的交易协商.描述了ZEUS的工作原理,介绍了基于ZEUS平台设计并实现智能电子商务系统的基本方法,为智能电子商务的实现提供了一种技术途径.     

基于多代理的分布式智能电子商务系统设计

传统电子商务系统结构比较单一,一般是由若干个固定的服务器组成,每个服务器提供固定功能的服务,这样就限制了系统的安全性和鲁棒性的提高。同时,系统的交易形式不够灵活,无法让交易双方在任意时间就商品的价格、折扣和交易时间等问题进行即时协调和协商,以达到尽最大努力促使交易成功,从而达到双赢的目的。针对以上问题,本文提出了基于多代理的分布式智能电子商务系统设计,即利用多代理技术实现系统结构的分布式设计和交易过程的智能化,让智能代理按照客户的意愿自动地帮助客户进行交易商品的查询、谈判和交易。本方法不仅有效地提高了系统的鲁棒性、安全性和健壮性,而且促进了系统向智能化方向发展。最后利用JADE平台实现系统,从而证明了实现方案的可行性。     

基于JADE平台的Multi-Agent协商的设计与实现

Multi-Agent协商是目前研究的一个热点,而从底层开发出一个Multi-Agent协商系统是非常复杂和困难的。该文在研究JADE仿真平台技术的基础上,对基于JADE仿真平台的Multi-Agent协商进行了设计与实现,为研究Multi-Agent协商有着重要的意义。     

基于JADE平台的Multi-Agent协商的设计与实现

Multi—Agent协商是目前研究的一个热点,而从底层开发出一个Multi—Agent协商系统是非常复杂和困难的。该文在研究JADE仿真平台技术的基础上,对基于JADE仿真平台的Multi—Agent协商进行了设计与实现,为研究Multi—Agent协商有着重要的意义。     

基于多智能体的信息融合系统

论文概述了智能体理论及其在信息融合方面的研究情况,总结了多智能体信息融合的基本方法,基于JADE平台,设计并实现了一种多智能体信息融合系统.     

高层体系结构与多智能体仿真集成研究

对于复杂大系统的建模与仿真,多智能体系统可以提供并行逻辑的支持,而高层体系结构(HLA)则可以提供公共的技术框架.两者的结合能有效地提高系统仿真与建模的效果,但是HLA/RTI的规范对多智能体系统的灵活性与开放性有一定的限制,不能充分发挥智能体在推理交互和协商合作等高层次通信方面的优秀特性.在高层体系结构下利用JADE平台工具对多智能体仿真环境进行了研究,提出了集成系统的总体架构和具体方法,并建立了原型系统,通过实验验证了集成方案的可行性,为进一步的研究奠定了基础.     

基于多agent的电子商务应用

agent技术具有智能和异步计算等特点,已经被广泛应用于电子商务系统.本文详述了agent的基本概念,并给出了利用agent实现的一个网上销售实例.     

电子商务中的自动协商

描述电子商务中基于智能体的自动协商，给出基于智能体的自动协商模型和协商智能体的体系结构，描述了一组构成协商协议的通信原语。通过约束满足机制、协商策略和提议评估算法实现自动协商。并实现了一个供应链管理中买卖自动协商的原型系统。     

一种基于多代理技术实现的虚拟企业中的敏捷调度

提出了一种用多代理技术和基于协商的策略解决虚拟企业调度冲突的方法。首先介绍了虚拟企业中敏捷调度的特性及调度冲突的产生,分类及解决方法,并描述了调度、计划、协商、监督执行之间的互操作,通过代理的智能,自治等特性可以较好地实现调度的敏捷性,最后给出了在一个面向虚拟企业的信息集成系统ViaSopc中基于多代理技术实现的基于协商的敏捷调度模型。     

基于移动Agent的电子商务模型研究

在分析电子商务中应用移动代理技术的原因和优势的基础上,设计并实现了一个基于移动代理的电子商务系统模型.描述了一种用以设计和开发电子商务系统的移动Agent技术的概要性实现框架.在电子商务中采用Agent技术的目的主要是为了解决用户在使用电子商务中遇到的相关问题,并且以较低的代价增强商家为用户提供商品和服务.移动代理技术的引入将进一步增强电子商务的吸引力及其服务的能力,有效地解决目前电子商务发展中出现的诸多问题,如资源发现、交易协商,以及交易自动化等.     

Developing multi‐agent systems with a FIPA‐compliant agent framework

To ease large‐scale realization of agent applications there is an urgent need for frameworks, methodologies and toolkits that support the effective development of agent systems. Moreover, since one of the main tasks for which agent systems were invented is the integration between heterogeneous software, independently developed agents should be able to interact successfully. In this paper, we present JADE (Java Agent Development Environment), a software framework to build agent systems for the management of networked information resources in compliance with the FIPA specifications for inter‐operable intelligent multi‐agent systems. The goal of JADE is to simplify development while ensuring standard compliance through a comprehensive set of system services and agents. JADE can then be considered to be an agent middle‐ware that implements an efficient agent platform and supports the development of multi‐agent systems. It deals with all the aspects that are not peculiar to agent internals and that are independent of the applications, such as message transport, encoding and parsing, or agent life‐cycle management. Copyright © 2001 John Wiley & Sons, Ltd.     

MVC模式在JADE系统开发中的应用

针对由于JADE(Java Agent Development Environment)对带图形界面的代理的支持程度不够,从而造成开发出来的系统结构混乱,维护困难等问题,采用MVC(Model-View-Control)设计模式进行开发,提出了一种新的图形界面Agent开发架构,即采用模型、界面和控制等功能模块相分离的方式来构造系统,以实现对多代理系统开发和维护的简化。该架构除了加强JADE系统对图形界面代理的支持外,新增了对多种消息并行处理的支持;并且结构灵活,易于扩展,可对现有的多代理系统进行少量改造来实现结构调整。     

Intelligent Travel Planning: A MultiAgent Planning System to Solve Web Problems in the e-Tourism Domain

This paper presents Intelligent Travel Planning (ITP), a multiagent planning system to solve Web electronic problems in the Web, whose main goal is to search for useful solutions in the electronic-Tourism domain to system users. The system uses different types of intelligent autonomous agents whose main characteristics are cooperation, negotiation, learning, planning and knowledge sharing. Obviously the information used by the intelligent agents is heterogeneous and geographically distributed, since the main information source of the system is Internet. Other information sources are agent knowledge bases in the distributed system. The process to obtain, filter, and store the information is performed automatically by agents. This information is translated into a homogeneous format for high-level reasoning in order to obtain different partial solutions. Partial solutions are reconstructed into a general solution (or solutions) to be presented to the user. The system will show a set of solutions to the users that can be evaluated by them.     

Towards a web services and intelligent agents-based negotiation system for B2B eCommerce

With the explosive growth of the number of transactions conducted via electronic channels, there is a pressing need for the development of intelligent support tools to improve the degree and sophistication of automation for eCommerce. With reference to the BBT business model, negotiation is one of key steps for B2B eCommerce. Nevertheless, classical negotiation models are ineffective for supporting multi-agent multi-issue negotiations often encountered in eBusiness environment. The first contribution of this paper is the exploitation of Web services and intelligent agent techniques for the design and development of a distributed service discovery and negotiation system to streamline B2B eCommerce. In addition, an effective and efficient integrative negotiation mechanism is developed to conduct multi-party multi-issue negotiations for B2B eCommerce. Finally, an empirical study is conducted to evaluate our intelligent agents-based negotiation mechanism and to compare the negotiation performance of our software agents with that of their human counterparts. Our research work opens the door to the development of the next generation of intelligent system solutions to support B2B eCommerce.     

污水处理智能化系统的Multi-Agent通信技术与实现

Agent通信是Multi-Agent系统能否高效运行的关键技术之一。FIPA-ACL是最新的Agent通信语言。为实现基于Multi-Agent的污水处理智能化系统中各Agent间的交互、协商与合作,解决污水处理这一复杂工业过程的控制问题,通过分析FIPA-ACL规范集合的系统组成、通信机制等,提出了一种基于FIPA-ACL的污水处理智能化系统的Multi-Agent通信技术,确定了其通信方式、通信策略与通信协议,并给出了具本实现方法。     

面向Agent软件工程在企业素质诊断系统中的应用

在企业素质诊断系统的开发中引入AOSE,分析了AOSE方法在实际工作中的不足.在开发过程中以软件智能体系统工程方法学(MESSAGE)建模语言为一致性规则,采用愿望-意图-信念(D-I-B)次序的建模方法进行Agent设计.以JADE和Jadex为开发平台,给出了BDI Agent等关键技术的实现,总结出一个完整和系统的面向Agent软件开发过程.     

基于模糊约束规划的自动协商

给出了一个基于模糊约束规划模型的自动协商系统。建立了模糊约束规划模型并利用模糊模拟、神经网络和遗传算法给出了求解Pareto最优解的混合智能算法;协商过程中卖方智能体根据神经网络拟合的效用函数并运行混合智能体算法得到当前协商步的Pareto最优解,避免了对大型商品数据库的反复搜索,为系统推向实际应用奠定了基础;协商模型仿真实验表明了协商系统返回的解与实际调查得到的用户偏好相一致。     

An agent-oriented approach to resolve scheduling optimization in intelligent manufacturing

Agent technology is considered as a promising approach for developing optimizing process plans in intelligent manufacturing. As a bridge between computer aided design (CAD) and computer aided manufacturing (CAM), the computer aided scheduling optimization (CASO) plays an important role in the computer integrated manufacturing (CIM) environment. In order to develop a multi-agent-based scheduling system for intelligent manufacturing, it is necessary to build various functional agents for all the resources and an agent manager to improve the scheduling agility. Identifying the shortcomings of traditional scheduling algorithm in intelligent manufacturing, the architecture of intelligent manufacturing system based on multi-agent is put forward, among which agent represents the basic processing entity. Multi-agent-based scheduling is a new intelligent scheduling method based on the theories of multi-agent system (MAS) and distributed artificial intelligence (DAI). It views intelligent manufacturing as composed of a set of intelligent agents, who are responsible for one or more activities and interacting with other related agents in planning and executing their responsibilities. In this paper, the proposed architecture consists of various autonomous agents that are capable of communicating with each other and making decisions based on their knowledge. The architecture of intelligent manufacturing, the scheduling optimization algorithm, the negotiation processes and protocols among the agents are described in detail. A prototype system is built and validated in an illustrative example, which demonstrates the feasibility of the proposed approach. The experiments prove that the implementation of multi-agent technology in intelligent manufacturing system makes the operations much more flexible, economical and energy efficient.     

一种具有回溯机制的智能代理协商模型

近年来,智能代理技术被引入帮助人们处理互联网上的海量商务数据。然而在网上商务自动协商时,智能代理技术仍存在着一些问题。网上商务对话需要智能商务代理具备一套完善的交互模型以应付各种特殊情况。论文通过改进已有的交互模型使其具备协商回溯功能,以提高商务协商的成功率。此外,论文还将讨论如何提高该模型的效率。