基于MAS的电子商务谈判支持系统

随着Internet技术的发展,网上电子商务谈判方式正在兴起。为了提高谈判效率,并增加谈判的智能辅助机制,该文引入Agent技术,重点介绍了以多Agent系统为基础的谈判支持系统(NSS)设计框架。在此系统中,建立了一个结合多目标决策理论和基于偏好理论的决策模型。     

基于Web的谈判支持系统的研究与开发

论述了谈判支持系统的有关理论、应用现状以及存在问题,并通过对一个基于Web的谈判支持系统的分析提出了一种解决问题的新思路。     

洽谈支持系统(NSS)及其成功的关键

本文讨论了NSS与DSS和GDSS间的区别,描述了NSS 的一般特征和设计NSS时所应注意的几个关键问题,并对这些问题逐一进行了分析,指出了应采取的措施。     

基于多Agent的谈判支持系统研究

为提高谈判效率,简化其操作,并增加谈判的智能辅助机制,将分布式人工智能中的Agent技术引入谈判过程,提出了以多Agent系统代替谈判人与对手协商的谈判支持系统框架,研究了有关的Agent理论与方法,为新一代高效、快捷的商务谈判支持系统研究提供了新的思路。     

一种适用于网上谈判支持系统的改进遗传算法

为谈判问题建立便于遗传算法处理的数学模型,利用遗传算法的全局收敛性快速寻优,可并行性寻优以及模拟自然进化过程解决最优问题等优点,引入新的局部元启发搜索机制,加速搜索速度,提高搜索效率,克服传统遗传算法在处理永远难忘该类问题时出现的过早收敛,解缺乏多样性等缺陷,以便于在合理时间内产生协调解。最后,举例说明了该方法的可行性和特殊的优越性。     

谈判支持系统（NSS）研究

冲突决策是一类复杂的多人决策问题，它涉及到许多非结构化因素。本文对于复杂冲突问题分析的计算机系统－谈判支持系统进行了研究，分析了谈判支持系统的需求，工作机制和技术实现等问题。     

Developing Negotiation Decision Support Systems that Support Mediators: A Case Study of the Family_Winner System

Negotiation Support Systems have traditionally modelled the process of negotiation. They often rely on mathematical optimisation techniques and ignore heuristics and other methods derived from practice. Our goal is to develop systems capable of decision support to help resolve a given dispute. A system we have constructed, Family_Winner, uses empirical evidence to dynamically modify initial preferences throughout the negotiation process. It sequentially allocates issues using trade-offs and compensation opportunities inherent in the dispute.     

基于Web的谈判支持系统合同数字签名的设计

以几种常用的数字签名技术为基础,并结合WNSS中合同签名应具备特点,设计了一种使用非对称密钥算法、散列函数的促裁者的全新的数字签名方案,分析了方案的可行性,并讨论了它在WNSS的具体实现。     

Using a Benchmark in Case-Based Multiple-Criteria Ranking

A benchmark-based method is proposed for multiple-criteria ranking, and a case study is presented to demonstrate that the procedure can be efficient and effective in practice. Multiple-criteria ranking aims to help a decision maker (DM) assess a finite set of alternatives according to several criteria, usually conflicting, in order to rank the full set. The relation of benchmarks to multiple-criteria decision analysis is investigated systematically, and then, an approach based on distance from a benchmark is designed to incorporate information about a DM's judgements so as to produce a full ranking. The procedure is applied to rank 81 U.S. brownfield redevelopment projects based on available data and an accepted benchmark.      

基于SNAP的协商过程支持协议设计与实现

资源共享是解决资源短缺、提高整体生产力的有效方法.基于服务水平合同(Service Level Agreement,SLA)的资源买卖属于以市场经济为基础的资源共享环境.由于目前基于SLA的网上买卖协议(Protocol)没有SLA交易条件协商过程支持.所以系统无法有效地对交易过程提供协商功能.SNAP(Service Negotiation and Acquisition Protocol)是基于SLA的信息协议方案,本文对原来SNAP方案基础上增加交易条件协商过程的描写,并提供具体系统建设使用的方法,最后以全国贵重与优质教育资源共享项目为背景进行了的使用验证.     

Compositional Verification of a Multi-Agent System for One-to-Many Negotiation

Verification of multi-agent systems hardly occurs in design practice. One of the difficulties is that required properties for a multi-agent system usually refer to multi-agent behaviour which has nontrivial dynamics. To constrain these multi-agent behavioural dynamics, often a form of organisational structure is used, for example, for negotiating agents, by following strict protocols. The claim is that these negotiation protocols entail a structured process that is manageable with respect to analysis, design and execution of such a multi-agent system. In this paper this is shown by a case study: verification of a multi-agent system for one-to-many negotiation in the domain of load balancing of electricity use. A compositional verification method for multi-agent systems is applied that allows to (1) logically relate dynamic properties of the multi-agent system as a whole to dynamic properties of agents, and (2) logically relate dynamic properties of agents to properties of their subcomponents. Given that properties of these subcomponents can be verified by more standard methods, these logical relationships provide proofs of the dynamic properties of the multi-agent system as a whole.     

Building a Medical Decision Support System for Colon Polyp Screening by Using Fuzzy Classification Trees

To deal with highly uncertain and noisy data, for example, biochemical laboratory examinations, a classifier is required to be able to classify an instance into all possible classes and each class is associated with a degree which shows how possible an instance is in that class. According to these degrees, we can discriminate the more possible classes from the less possible classes. The classifier or an expert can pick the most possible one to be the instance class. However, if their discrimination is not distinguishable, it is better that the classifier should not make any prediction, especially when there is incomplete or inadequate data. A fuzzy classifier is proposed to classify the data with noise and uncertainties. Instead of determining a single class for a given instance, fuzzy classification predicts the degree of possibility for every class.Adenomatous polyps are widely accepted to be precancerous lesions and will degenerate into cancers ultimately. Therefore, it is important to generate a predictive method that can identify the patients who have obtained polyps and remove the lesions of them. Considering the uncertainties and noise in the biochemical laboratory examination data, fuzzy classification trees, which integrate decision tree techniques and fuzzy classifications, provide the efficient way to classify the data in order to generate the model for polyp screening.     

A Multiple-Criteria Approach to Ranking Computer Operating Systems

To select an operating system, an organization must consider several essential characteristics during its initial evaluation process. The analytic hierarchy process (AHP) offers an appropriate solution; the author illustrates it with a realistic case study in which an organization evaluates and ranks Windows XP, Linux, and Mac OS X 10.4.     

多智能体系统中的协商模型

目前,对多智能体系统的应用多是以开放的、复杂的、变化的网络为平台,为了更好地与环境相匹配,同对提高智能体之间协商的效率,从全局与单个智能体两方面着手,提出了一种新的MAS全局模型,并相应地提出了全局协调Agent的三维模型以及智能体之间的协商模型。通过这一系列模型的模拟实现,证明了此协商模型是正确的与接近自然的。从理论上基本上解决了与当前流行的基于网络的各种先进的智能系统,分布式问题求解等领域的衔接,因而有一定的指导意义并具有广阔的发展前景。     

Building a Large Expert System

A California human services agency's pioneering implementation of one of the largest expert systems in use today holds valuable lessons for organizations contemplating the adoption of evolving technologies.     

面向商务谈判的会议系统的设计和实现

多媒体会议系统作为CSCW典型系统具有重要的理论研究和使用价值．本文在分析会议系统需求和电子商务过程中的交易流程的基础上，设计并实现了一个面向商务谈判的多媒体会议系统TouchMe．     

面向资源共享系统的半自动化协商过程

在信息化技术支持下,资源共享系统允许资源提供者与资源请求者间通过软件界面进行资源服务交易;让协商双方透过软件界面进行协商的协商支持系统,帮助消除买卖双方对资源服务价格的分歧、提高交易成功率.传统协商支持系统的协商过程带有协商时间长和协商过程复杂问题,因此提出采用半自动化协商的方法缩短协商时间和简化协商过程.仿真实验证明,半自动化协商过程不会影响原来的协商成功率并大幅度提高协商效率.     

COTN:基于契约的信任协商系统

基于改进的信任管理和协商技术,通过属性信任证实现多种类型的权限委托,设计并实现了一个基于契约的信任协商（COntract-based Trust Negotiation,COTN）系统．在该系统中,引入了基于契约的信任协商方法,既在契约确立过程中预先终止无法进行的协商请求,又在契约约定下的协商过程中研究了对信任证和访问控制策略中隐私信息的保护,以高效、可靠地自动建立信任关系．目前,COTN系统已在网格中间件平台CROWN中得以应用,并采用信任票据和策略缓冲机制提高系统运行性能．通过相关实验表明该系统具有较好的稳定性和可用性．     

基于软件人的装备物流供应链协商模型

供应链成员之间的协商是智能供应链管理系统的关键部分,供应链成员只有通过协商才能进行有效的交互、合作。装备物流供应链中的一些运作功能定义成多个软件人模型,其中包括协调软件人、采购软件人、生产软件人、库存软件人、运输软件人、供应软件人。本文主要研究的是采购软件人与供应软件人之间的协商,提出一个软件人之间的协商模型。     

一种基于多Agent的多策略谈判框架

多Agent之间的谈判是DAI领域的重要研究课题.目前的谈判框架大多是采用单因素依赖的谈判策略,没有考虑复杂环境下多因素的综合影响,为解决这一问题,提出了一个多策略加权整合的多议题的谈判框架.本文从时间、资源、对方策略等多方面的因素来考虑整个谈判策略,从而提高了谈判框架的效率.