一个基于Agent的轿车市场自动协商模型

该文提出了一个针对轿车市场中交易协商的双边多议题自动协商模型，该模型具有如下特点：用基于效用的相似度比较法实现Agent智能搜索；模型采用学习机制包括历史学习和Q-学习，历史学习机制用于Agent协商前初始信念的创建，对Agent在协商中策略的选择、执行具有指导作用。Q-学习机制用于生成协商提议，使得Agent能够在半竞争、信息不完全和不确定以及存在最大协商时间的情况下，更为有效地完成多议题协商。     

基于通信的MAS内多Agent自动协商

给出了一个通用的基于联合意图的多Agent系统内部Agent协商模型，详细分析了Agent间的异步通信机制以及基于语言行为学的Agent自动协商语义，并在该协商语义的基础上给出了MAS内部基于联合意图的Agent自动协商通信协议，最后利用通信顺序进程验证了该协议的安全性和活性．     

基于协作度的分布式自动协商联盟形成机制

现有联盟形成的研究中大都没有考虑到不同Agent的协作资源和协作态度不同的异质性,而是假定所有Agent具有相同的协作资源和协作态度.为此提出一种基于协作度的分布式自动协商联盟形成机制(collaborative degree-based distributed automatic negotiation coalition formation mechanism,CDBDN),通过对处在网络拓扑结构中Agent的协作资源和协作态度的描述建立Agent协作度的概念.以分布式的应用环境为背景,建立分布式协商协议(distributed negotiation protocal,DNP)来实现分布式自动协商方式构建联盟.该机制建立了分布式协商协议和引入了Agent协作度,提出基于Agent 协作度的协商策略.实验结果表明,该机制在联盟形成的效率、Agent协商效率和个体效用方面都表现出有较好的性能.     

基于多Agent系统的自动协商机制及通用协商框架

自动协商是多Agent系统实现协作的关键环节。目前,对协商模型的研究大部分是在特定的应用系统中针对具体协商背景进行研究,协商模型的通用性较差。本文分析了多Agent系统协商机制的三个方面:Agent通信语言、通信方式和交互协议。在此基础上,给出了基于多Agent的通用协商框架GNF,该协商框架包括抽象协商过程、协商规则分类和协商协议。最后,给出了一个基于通用协商框架GNF的原型系统——采用Jess规则引擎实现的多Agent的商品交易系统。     

基于博弈分析的电子商务自动协商系统

为提高基于拍卖机制的电子商务自动协商系统效率，该文以非合作博弈论为基础提出了基于博弈分析的自动协商Agent模型及基于拍卖机制和博弈分析的自动投标协商算法，实现了一个基于拍卖机制和博弈分析的电子商务自动协商原型系统，并应用在一个企业敏捷供应链管理系统中实现自动协商交易。     

一种劝说式多Agent供应链协商模型研究

好的协商模型对提高供应链协商效率有着重要的意义。提出了一种基于劝说式的多Agent供应链协商模型。对供应链协商模型框架和协商Agent的状态信息进行了形式化的定义,阐述了协商中的劝说方法、让步原则和提议交互过程。实践表明利用该模型建立起供应链协商支持系统能提高供应链伙伴协商效率和协商成功率。     

基于线性时序逻辑的多Agent协商推理模型

在多智能体系统中,协商是Agent交互的主要形式.用形式化方法构建了基于线性时序逻辑的协商推理模型,该模型用线性时序逻辑描述在协商过程中Agent所处环境,自身能力、权力、知识、思维等随时间的变化,以及在系统运行时Agent采取异步行为.进一步完善了多Agent系统中自主的协商机制.     

多Agent自动协商的公平性研究

为了能够快速、高效地进行Agent协商,构建一个优化的多Agent协商模型。在这个模型的基础上,提出了一个基于协商各方公平性的协商学习算法。算法采用基于满意度的思想评估协商对手的提议,根据对方Agent协商历史及本次协商交互信息,通过在线学习机制预测对方Agent协商策略,动态得出协商妥协度并向对方提出还价提议。最后,通过买卖协商仿真实验验证了该算法的收敛性,表明基于该算法的模型工作的高效性、公平性。     

基于SOA的多Agent协商服务及其应用

在简述一种融合了面向服务架构和多Agent协商系统特点的新的协商模型——基于面向服务架构的多Agent协商模型的基础上，设计了该协商模型的多Agent协商服务端，阐述了Agent中协商推理机在协商中的基本过程。面向服务架构的协商服务端与协商Agent管理平台组合起来，搭建起支持开放环境并开展协商的软件应用环境，实现了基于面向服务架构的多Agent协商模型在电子商务中的 应用。     

多Agent自动协商中机器学习的应用研究

目前将机器学习理论应用到多Agent自动协商系统中已成为电子商务领域的最新研究课题。本文即是利用贝叶斯法则来更新协商中的环境信息（即信念），利用强化学习中的Q学习算法生成协商中的提议，建立了一个具有学习机制的多Agent自动协商模型。并且封传统Q学习算法追行了扩充，设计了基于Agent的当前信念和最近探索盈余的动态Q学习算法。实验验证了算法的收敛性。     

Communication infrastructure in distributed scheduling

The emergence of distributed artificial intelligent (DAI) introduced a new approach to solve scheduling problems by a set of scheduling systems that interact with each other in the problem-solving process. In this paper, we describe a communication infrastructure to handle connection and communication between distributed Internet scheduling systems for distributed applications. First, we present an agent model of distributed scheduling systems where agents can communicate and coordinate activities with each other via an agent communication language. Then, we define the syntax and semantics for the agent communication languages, and negotiation mechanism. Following that, we discuss the design and development of the prototype for the multi-agent scheduling systems. We conclude with a discussion of communication issues for heterogeneous agent-based scheduling systems to solve distributed scheduling problems.     

基于移动agent的异构网络PBD任务库搜索技术研究

从PBD可以扩展为基于异构网络的DPBD模型,使得网络中的机器可以共享任务库因而达到无需网络中的每台机器都安装完整的PBD系统的目的,而共享的任务库必然会导致搜索问题,普通的搜索技术很难达到DPBD任务库的搜索,而使用移动agent则可以提高DPBD包装器的搜索效率,同时可以大大减少网络负担。而且在移动agent内部增加安全机制,可以独立于开发平台增加搜索的可靠性。     

基于Agent的网络安全系统协同控制研究

提出一种基于代理的协同控制架构,并且描述了该协同控制架构、代理与系统之间的通信协议、系统之间的报文交换协议、加密认证策略、控制中心的保护、协同响应等。该框架不仅能从底层提供了智能协同控制的功能,而且有利于采用统一的加密认证策略,使系统的安全性得到加强。同时系统的消息定义和协同控制具有可扩充性特点,增强了框架的适应能力。     

A Secure Agent-based Framework for Internet Trading in Mobile Computing Environments

Most of the current Internet trading frameworks, in particular their negotiation and payment phases, are intended for customers frequently connected to the Internet during an entire transaction. This requirement cannot be easily met in the high communication cost and/or low bandwidth settings, typically found in mobile computing environments. Based on the software agent paradigm, a new secure agent-based framework for Internet trading in mobile computing environments is proposed in this paper. The framework is composed of two new protocols. One is the agent-based auction-like negotiation protocol, another is the agent-based payment protocol. Both of them are dedicated to solve the trade problems of Internet trading in mobile computing environments and ensured to be safe by cryptographic technologies. The combination of the two secure protocols constitutes an integrative solution for Internet trading in mobile computing environments.     

Proactive meeting management for distributed collaborative design

This paper presents the CAIRO (Collaborative Agent Interaction control and synchROnization) system which is a distributed design negotiation environment that allows individuals to interact over computer networks without the physical and temporal constraints experienced in a traditional meeting environment. Requirements for a collaborative design negotiation environment are identified based on background research in meeting and negotiation processes as well as distributed artificial intelligence concepts. Furthermore, the paper describes an agent-based coordination and facilitation mechanism to support the design negotiation process, and a framework for effective documentation of meeting proceedings. These mechanisms are built on top of the CAIRO distributed communication infrastructure.     

Applications of agent-based systems in intelligent manufacturing: An updated review

Agent technology has been recognized as a promising paradigm for next generation manufacturing systems. Researchers have attempted to apply agent technology to manufacturing enterprise integration, enterprise collaboration (including supply chain management and virtual enterprises), manufacturing process planning and scheduling, shop floor control, and to holonic manufacturing as an implementation methodology. This paper provides an update review on the recent achievements in these areas, and discusses some key issues in implementing agent-based manufacturing systems such as agent encapsulation, agent organization, agent coordination and negotiation, system dynamics, learning, optimization, security and privacy, tools and standards.     

基于移动Agent的安全电子拍卖系统的构建

随着电子商务技术的日益发展，移动Agent技术可以用来进行市场调查，商品买卖及离线拍卖等。事实证明只有当用移动Agent构建的系统的安全性得到确切的保证后，才能被大众用户所接受。该文提出了一个基于移动Agent的电子拍卖协议，并以此协议构建了一个实际的系统。系统中采用了主从结构，在认证过程中要求Agent向拍卖服务器出示许可证等方法来保证系统的安全性。最后，对协议设计的正确性和效率进行了详尽的分析。     

A learning-enabled infrastructure for electronic contracting agents

With the vigorous development of electronic commerce these years, many experts and scholars have devoted themselves to various fields of research and application. Of these fields, electronic contracting is a new research topic in great demand. In spite of its promise, electronic contracting involves the standardization of ontology and automation of negotiation, which renders the implementation of electronic contracting difficult. In view of the necessity of electronic contracting, we present a learning-enabled agent-based infrastructure and claim that it will be a solution to the problems encountered during the process of electronic contracting by a variety of evaluations. In this infrastructure, the applications of an agent are viewed as a set of application ontologies, each of which is a combination of a context ontology and a object ontology so that the negotiation context and automation of negotiation can be flexibly integrated in this infrastructure. The infrastructure enables the automation of electronic contracting through a general and automatic communication protocol and provides reusability by the componentization of agents. The infrastructure provides personalized multiattribute evaluation and proposal generation by a mechanism, which is a combination of neural networks and genetic algorithms, in order to enable the automatic negotiation ability at agents.     

无线传感器网络中基于Agent的QoS管理机制

针对无线传感器网络的节能特性和网络应用对服务质量(QoS)要求的不断提高,提出了一种节能高效的服务质量管理机制,运用Agent技术实现传感器节点的信息采集和QoS预约,当网络环境变化时进行QoS协商与再协商.与传统QoS机制相比,基于Agent实现的QoS管理机制能够最大限度对支持网络应用,更适合传感器网络的节能要求,延长网络的生命期.