考虑公平关切的工期优化收益共享谈判

针对工程建设中工期优化问题,构建了立足于工程全生命周期角度的业主与承包商的收益共享谈判模型.设置了谈判双方均具有公平关切、仅业主具有公平关切、 仅承包商具有公平关切三种实验情景,研究了主体公平关切程度对谈判可行域、谈判成功结果、谈判效率等方面的影响.实验结果表明:谈判双方的公平关切程度越高, 谈判成功的可行域越小;主体适度提高公平关切程度,会导致工期优化幅度较大,但过度关注公平会导致双方成本大幅增长,不利于系统利润增长; 主体不同的公平关切程度会对自身收益产生不同影响;双方保持适度公平关切能够提高谈判成功率,缩短谈判周期.     

A Multiple Negotiations Model Considering Interdependence between Discrete Issues Across Negotiations

The research of multiple negotiations considering issue interdependence across negotiations is considered as a complex research topic in agent negotiation.In th...     

A Machine Learning Approach for Mechanism Selection in Complex Negotiations

Automated negotiation mechanisms can be helpful in contexts where users want to reach mutually satisfactory agreements about issues of shared interest, especially for complex problems with many interdependent issues. A variety of automated negotiation mechanisms have been proposed in the literature. The effectiveness of those mechanisms, however, may depend on the characteristics of the underlying negotiation problem (e.g. on the complexity of participant’s utility functions, as well as the degree of conflict between participants). While one mechanism may be a good choice for a negotiation problem, it may be a poor choice for another. In this paper, we pursue the problem of selecting the most effective negotiation mechanism given a particular problem by (1) defining a set of scenario metrics to capture the relevant features of negotiation problems, (2) evaluating the performance of a range of negotiation mechanisms on a diverse test suite of negotiation scenarios, (3) applying machine learning techniques to identify which mechanisms work best with which scenarios, and (4) demonstrating that using these classification rules for mechanism selection enables significantly better negotiation performance than any single mechanism alone.     

A multiple intelligent agent system for credit risk prediction via an optimization of localized generalization error with diversity

Company bankruptcies cost billions of dollars in losses to banks each year. Thus credit risk prediction is a critical part of a bank＇s loan approval decision process. Traditional financial models for credit risk prediction are no longer adequate for describing today＇s complex relationship between the financial health and potential bankruptcy of a company. In this work, a multiple classifier system （embedded in a multiple intelligent agent system） is proposed to predict the financial health of a company. In our model, each individual agent （classifier） makes a prediction on the likelihood of credit risk based on only partial information of the company. Each of the agents is an expert, but has limited knowledge （represented by features） about the company. The decisions of all agents are combined together to form a final credit risk prediction. Experiments show that our model out-performs other existing methods using the benchmarking Compustat American Corporations dataset.     

A Priority-Based Negotiations Approach for Handling Inconsistencies in Multi-Perspective Software Requirements

Inconsistency of multi-perspective requirements specifications is a pervasive issue during the requirements process. However, managing inconsistency is not just a pure technical problem. It is always associated with a process of interactions and competitions among corresponding stakeholders. The main contribution of this paper is to present a negotiations approach to handling inconsistencies in multi-perspective software requirements. In particular, the priority of requirements relative to each perspective plays an important role in proceeding negotiation over resolving inconsistencies among different stakeholders. An algorithm of generating negotiation proposals and an approach to evaluating proposals are also presented in this paper, respectively.     

基于Agent 的电子商务自动谈判系统研究

通过对现有自动谈判系统的深入分析,指出面向电子商务的自动谈判系统的研究与开发是目前各类电子商务应用系统研究中最为薄弱的环节.文章依据电子商务谈判的需求和分布式人工智能迅速发展,提出了一种基于Agent电子商务自动谈判系统,着重对这种新型的谈判系统的自动谈判协议、谈判策略和系统构架进行了探讨,并对今后的研究方向进行了展望.     

社会偏好对工程工期优化谈判的影响

针对业主与承包商的工期优化问题,基于计算实验方法构建了两者基于收益共享契约的谈判模型,将行为经济学中的社会偏好理论引入其中.分别考虑了承包商具有自利偏好、竞争性偏好、不公平厌恶偏好以及社会福利偏好等类型,研究了不同社会偏好类型对谈判可行域、利润分配、谈判成功率以及效率等方面的影响.研究结果表明:不同的社会偏好类型以及偏好不同程度对于谈判过程与结果均会产生差异性影响,并将呈现出不同的演化趋势.这对于明晰谈判结果成因,继而科学合理地进行工期优化决策均具有重要的意义.     

基于合作博弈协商机制的分布式资源受限多项目调度

分布式资源受限多项目调度问题涉及多个项目的独立调度以及项目之间共享资源的协调分配,因此,解决该问题的关键是设计有效的机制获取协调全局资源所需的调度信息并据此配置全局资源.考虑每个单项目延期的影响程度不同,以最小化多项目总拖期成本为全局目标建立分层决策模型:考虑分布式多项目调度问题的信息不对称性和各单项目决策者的自利性,设计基于合作博弈协商机制的分阶段进化算法对问题求解.以MPSPLIB问题集开展实验研究,结果表明:采用合作博弈协商机制可以有效降低多项目的总延期成本,并且该求解机制对问题规模和资源冲突强度的变化有很好的适应性;自主Agent参与合作博弈并选择诚信策略可获得更高的单项目收益,同时多项目获得高质量的调度方案.     

Complexity,Democracy and Sustainability: Promoting Water Security Through Systemic Online Negotiations

Water conflicts constitute an important example of some of the most complex and critical environmental issues the 21st century is facing. Recently, much research effort has been put into managing the various dimensions of water issues in a more holistic way through Integrated Water Management approaches. In parallel, numerous water conflicts have arisen and isolated methods and institutional responses have been developed to deal with them. In this paper, I explain why integrating issues of water security within water management considerations is important, in order to prevent water conflicts from arising. I also advocate the use of Information and Communication Technologies as inclusive, democratic systems of water governance. After exploring how and why systems methods and ICTs could contribute to taking the complexity of water issues into account as well as promoting a democratic and sustainable mode of water management, the paper presents an online systemic water conflict management method. This is the initial result of a joint research project between the systems department of the Open University and the PCCP-IHE programme of UNESCO. It shows that working with systems methods and ICTs can help transform traditionally linear modes of negotiation into collaborative learning, holistic, interest-based modes of negotiations. Without using such an approach, that enables the integration of water management, hydropolitics and online governance, the management of (complex and systemic) water conflicts, despite the development of alternative dispute resolution methods, is at risk of remaining linear, mostly based on hard data, un-participatory and non-systemic in nature.

动态时间帕累托最优电子采购多属性谈判模型

基于谈判的电子采购是企业达成供应链交易的重要方式.为了解决采购人员在面对多个谈判属性时决策的困难,本文将多属性谈判问题转化为一个多目标优化模型,采用具有快速非支配排序和精英策略的遗传算法,求解得到帕累托边界,然后设计动态时间依赖策略(DTD),使Agent根据对手出价情况,动态调整让步幅度,在帕累托边界上快速与对手达成...     

A Fuzzy Negotiation Model of E-commerce

We usually decide to accept or reject the offer based on the utility function in the traditional automatic negotiation of E-commerce so that we reject the offers whose utility is lower than a specified value. Here we evaluate the acceptability based on the fuzzy set theory and the membership function. Since different issues have different effect on the negotiators, we state the combined concession in the multi-issue negotiation for the negotiators. We put forward a more practical negotiation model than the traditional negotiation model and give an example of its application in E-commerce.     

考虑双方主体心理行为的稳定双边匹配方法

在双边匹配中, 双方主体的心理感知是不可忽视的重要因素, 如何依据行为决策理论描述双方主体的心理行为并将其引入到双边匹配模型中, 以往这方面的研究很少被关注. 在本文中, 针对双方主体给出偏好序值信息的双边匹配问题, 给出了一种考虑双方主体心理行为的稳定双边匹配方法. 首先将双方主体给出的偏好序值转化为偏好效用; 然后依据失望理论, 将主体的偏好效用转化为用以描述主体对与对方主体相匹配的满意程度的感知效用; 进而在稳定匹配约束条件下, 以每方主体感知效用之和最大为目标, 构建了双边匹配的多目标优化模型, 并使用基于隶属函数的加权和方法将多目标优化模型转换为单目标优化模型, 通过模型求解可得到最优双边匹配结果. 最后, 通过一个算例说明了提出方法的实用性和有效性.     

基于MAS的分布式卫星系统任务规划研究

针对分布式卫星系统的规划与调度问题,提出了一种基于多Agent协商机制的分布式规划与调度方法.首先建立了分布式卫星系统的分层分布式多Agent控制结构,并详细设计了各个层次Agent的功能.其次,给出了卫星Agent之间基于合同网的交互协议,设计了基于优先级的招标任务选择策略以及基于任务动态插入的投标方法,并给出了实现全局优化的评标策略和目标函数.针对观测环境的动态情形,给出了相应的动态任务处理流程.最后通过一个卫星编队实例进行了验证.     

基于多Agent 系统的分布式知识管理研究

根据第二代知识管理的思想,以及现在企业、组织的分散式管理特点,提出一种基于多Agent系统的分布式知识管理模型.以企业知识管理为范例,该模型利用Ontology为每个企业,或者企业内各部门构建各自知识库.为了实现各个异构Ontology知识库之间的知识共享和交换,模型采用多Agent系统进行各个企业或企业内部各部门之间的知识管理.系统包含Ontology知识库的构建、知识库之间的知识检索、知识交换和共享,以及Ontology协商和映射等功能模块.实践表明该模型能有效地在异构环境下实现分布式企业之间的知识管理,而且该分布式模型具有快速开发,易于维护的优点.     

Group Argumentation and Its Analysis on a Highlighted Social Event — Practice of Qualitative Meta-synthesis

In social life, some highlighted issues are regarded as unstructured or wicked problems, the solving of which is actually a problem-structuring and problem-solving process including the detection and discovery of some problem structures and relevant solutions, which are finally synthesized into an integrative solution toward the whole issue. In this study, a group argumentation test about a social highlighted event is introduced based on our designed group argumentation environment (GAE). With versatile analyses of the test results, it is addressed how GAE support people to become aware of or to acquire some threads or structures, which lead to in-depth research or quantitative modeling during unstructured problem-solving process.     

设计智能决策支持系统的认知工程方法

基于作者近年研制我国宏观经济智能决策支持系统的经验,本文提出一种设计智能决策支持系统(IDSS)的认知工程方法。并强调智能决策支持系统这一辅助决策工具的使用旨在提高最终用户(决策者)的认知决策能力。为此,对系统功能设计和适用技术实现作了相应的探讨。     

电子商务协商模型综述

电子商务协商是电子商务领域的研究热点之一。主要从协商协议模型、协商策略模型、协商模型的求解算法等方面综述了电子商务协商模型和算法的相关研究进展。首先针对电子商务服务商提供支持的协商、买方或卖方自行协商和电子商务第三方参与的协商这三种典型协商模式,综述了协商协议模型的研究进展;随后对基于效用和基于偏好的两种典型的协商策略模型进行了评述,并综述了协商模型的求解算法。最后展望了进一步的研究方向。     

QoS-aware multicast routing protocol for Ad hoc networks

1 .INTRODUCTIONA mobile ad hoc network ( MANET) is a multi-hopwireless network formed by a collection of mobilenodes without the intervention of fixedinfrastructure.Because an Ad hoc network is infrastructure-less andself-organized,it is used to provide i mpromptu com-munication facilities in harsh environments . Typicalapplication areas of mobile ad hoc networkinclude bat-tlefields ,emergency search,rescue sites and data ac-quisitionin remote areas . A mobile Ad hoc networkisalso usef…     

Video segmentation using multiple features based on EM algorithm

Object-based video segmentation is an important issue for many multimedia applications. A video segmentation method based on EM algorithm is proposed. We consider video segmentation as an unsupervised classification problem and apply EM algorithm to obtain the maximum-likelihood estimation of the Gaussian model parameters for model-based segmentation. We simultaneously combine multiple features (motion, color) within a maximum likelihood framework to obtain accurate segment results. We also use the temporal consistency among video frames to improve the speed of EM algorithm. Experimental results on typical MPEG-4 sequences and real scene sequences show that our method has an attractive accuracy and robustness.     

Multi-agent cooperative intrusion response in mobile adhoc networks

The nature of adhoc networks makes them vulnerable to security attacks. Many security technologies such as intrusion prevention and intrusion detection are passive in response to intrusions in that their countermeasures are only to protect the networks, and there is no automated network-wide counteraction against detected intrusions. the architecture of cooperation intrusion response based multi-agent is propose. The architecture is composed of mobile agents. Monitor agent resides on every node and monitors its neighbor nodes. Decision agent collects information from monitor nodes and detects an intrusion by security policies. When an intruder is found in the architecture, the block agents will get to the neighbor nodes of the intruder and form the mobile firewall to isolate the intruder. In the end, we evaluate it by simulation.