模糊逻辑的买方应价策略在电子商贸中的应用

提出了一种基于模糊逻辑能够适用于电子商贸活动中的买方Agent的应价策略。     

一种基于协商和Agent的电子交易框架

固定的商品价格已经限制了传统电子商务的发展,文章提出了一种基于协商和Agent的电子交易框架,使用购买代理和销售代理代替现实生活中的买卖双方,来解决企业对消费者(B-C)的零售商务活动。这种多Agent的电子交易框架应用谈判模式提取和移动Agent技术,很好地模拟了现实生活中的商务活动。     

电子商务智能Agent的自适应模糊推理

电子市场中的买卖双方达成交易的过程可以看作是一个连续双向拍卖(CDA)协议。面向电子商务实际应用,给出了CDA协议下买卖双方参与竟标的模糊规则及模糊推理方法。在推理过程中,交易Agent可以根据市场需求状况和自身特性对模糊规则的某些参数进行合理优化,从而自动适应市场变化。     

一种基于模糊规则的Multi-agent自动谈判策略

针对当前电子商务中基于Agent的谈判系统的谈判策略的静态性问题,提出基于模糊规则的动态谈判策略。Agent在谈判中能根据对方心理因素和动态确定自己的谈判策略后,产生新一轮的提议,帮助用户做出最优的交易决策,且自动地选择合适的策略。分析表明,采用基于模糊规则的策略比采用固定的策略的谈判结果更让用户感到满意。     

支持需求聚合的C2B旅游电子商务自动谈判系统研究

为了更好地撮合旅游服务供需双方的交易活动,将C2B电子商务模式和自动谈判系统相结合,提出一种新的支持需求聚合的C2B旅游电子商务自动谈判系统。引入Agent技术自动聚合大量分散的旅游服务需求,再由C2B电子商务自动谈判系统通过谈判代理Agent和旅游服务企业方的谈判Agent进行自动谈判,撮合旅游服务供需双方交易。阐述系统的总体框架和运行机制;研究需求聚合的策略和方法;基于FIPA规范设计相应的自动谈判协议和自动谈判过程控制算法。基于JADE开发了一套原型系统,验证了相关设计的可行性。     

移动Agent定位机制与迁移技术研究

该文介绍了移动Agent的概念和特性,并针对移动Agent在迁移过程中的定位机制、路由规划、迁移策略等关键技术进行了研究与剖析。     

移动Agent定位机制与迁移技术研究

该文介绍了移动Agent的概念和特性,并针对移动Agent在迁移过程中的定位机制、路由规划、迁移策略等关键技术进行了研究与剖析。     

面向Agent的模糊评标软件模型研究

以电子竞标软件开发项目为背景,探讨了面向Agent的模糊评标软件模型的设计与优化问题.给出模糊评标的软件类构架,并且用设计模式和多Agent的技术进行优化设计;重点提出一种Agent内部的单元结构,并着重分析单元结构的组成原理;探讨了面向Agent的软件模型设计和实现方法,给出了4表相结合的Agent实现模板,并给出了模糊评标关键算法的实现.所提出的面向Agent的软件模型分析过程和实现方法具有一般的理论意义和工程实用价值.     

基于多Agent混合推理的故障诊断方法

提出了基于正反向混合推理的故障诊断疗法,运用基于动态模糊综合评判的正向推理生成候选故障集,作为反向推理的基础。基于诊断任务的多层次混合分解策略,提出了融合不同知识表达方式和推理机制的多Agent并行诊断结构,分析了管理Agent、诊断Agent和决策Agent的基本职能,给出了并行推理过程中的冲突消解算法。     

Agent在网格资源管理中的应用研究

由于网格资源的自治、分布、异构和动态变化等特性,如何有效地管理和调度资源是网格计算领域中的一个关键问题,至今仍未得到满意的解决。提出了一种基于Agent的网格资源管理模型,为各类Agent设计了动态模糊知识库,并研究了基于动态模糊知识的模糊Q学习算法。算法较好地满足了网格资源管理中的智能适应性、扩展性及调度优化的需要。通过模拟实验验证了所研究模型和算法的有效性和效率。     

A fuzzy-logic based bidding strategy for autonomous agents in continuous double auctions

Increasingly, many systems are being conceptualized, designed, and implemented as marketplaces in which autonomous software entities (agents) trade services. These services can be commodities in e-commerce applications or data and knowledge services in information economies. In many of these cases, there are both multiple agents that are looking to procure services and multiple agents that are looking to sell services at any one time. Such marketplaces are termed continuous double auctions (CDAs). Against this background, this paper develops new algorithms that buyer and seller agents can use to participate in CDAs. These algorithms employ heuristic fuzzy rules and fuzzy reasoning mechanisms in order to determine the best bid to make given the state of the marketplace. Moreover, we show how an agent can dynamically adjust its bidding behavior to respond effectively to changes in the supply and demand in the marketplace. We then show, by empirical evaluations, how our agents outperform four of the most prominent algorithms previously developed for CDAs (several of which have been shown to outperform human bidders in experimental studies).     

Negotiation Agents that Make Prudent Compromises and are Slightly Flexible in Reaching Consensus

The contribution of this work is designing and developing enhanced market-driven agents with the flexibility to (1) respond to changing market conditions, and (2) raise and relax trade aspirations. Previous theoretical analyses have shown that market-driven agents ( MDA s) make prudent compromises by reacting to changing market situations by taking into account factors such as competition, deadlines, and trading options. This work augments the design of an MDA with three fuzzy decision controllers that guide the agent in (i) relaxing trade aspiration in face of intense negotiation pressure, and (ii) raising trade aspiration in extremely favorable markets. Results from extensive simulations conducted using an implemented testbed suggest that when compared to MDA s, agents in this work achieved (1) higher success rates in reaching deals, (2) higher average utilities, and (3) higher expected utility.     

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。     

遗传算法在电液伺服系统分层模糊控制中的应用

针对模糊控制中规则数和可调参数多的问题,对遗传算法在分层模糊控制系统中的应用进行了研究,考虑遗传算法具有强大的全局搜索能力,提出了基于遗传算法的分层模糊控制的设计方案。该方案采用2个模糊控制器分层连接,即第一层采用基于遗传算法优化的模糊控制器,第二层采用典型的模糊控制器,从而大大减少了模糊规则和可调参数的个数,便于实时控制。电液伺服系统的实际仿真结果验证了该方案的有效性。     

Computational intelligence approaches and linear models in case studies of forecasting exchange rates

Artificial neural networks and fuzzy systems, have gradually established themselves as a popular tool in approximating complicated nonlinear systems and time series forecasting. This paper investigates the hypothesis that the nonlinear mathematical models of multilayer perceptron and radial basis function neural networks and the Takagi–Sugeno (TS) fuzzy system are able to provide a more accurate out-of-sample forecast than the traditional auto regressive moving average (ARMA) and ARMA generalized auto regressive conditional heteroskedasticity (ARMA-GARCH) linear models. Using series of Brazilian exchange rate (R$/US$) returns with 15 min, 60 min and 120 min, daily and weekly basis, the one-step-ahead forecast performance is compared. Results indicate that forecast performance is strongly related to the series’ frequency and the forecasting evaluation shows that nonlinear models perform better than their linear counterparts. In the trade strategy based on forecasts, nonlinear models achieve higher returns when compared to a buy-and-hold strategy and to the linear models.     

An intelligent short term stock trading fuzzy system for assisting investors in portfolio management

Financial markets are complex systems influenced by many interrelated economic, political and psychological factors and characterised by inherent nonlinearities. Recently, there have been many efforts towards stock market prediction, applying various fuzzy logic techniques and using technical analysis methods.This paper presents a short term trading fuzzy system using a novel trading strategy and an “amalgam” between altered commonly used technical indicators and rarely used ones, in order to assist investors in their portfolio management. The sample consists of daily data from the general index of the Athens Stock Exchange over a period of more than 15 years (15/11/1996 to 5/6/2012), which was also divided into distinctive groups of bull and bear market periods.The results suggest that, with or without taking into consideration transaction costs, the return of the proposed fuzzy model is superior to the returns of the buy and hold strategy. Τhe proposed system can be characterised as conservative, since it produces smaller losses during bear market periods and smaller gains during bull market periods compared with the buy and hold strategy.     

Software development: science,craft or racket?

In the past, software development has been variously described as a science, art, craft, trade, racket, etc. Even today opinions vary considerably about how software should he developed and what qualifications are most appropriate for software developers.In the article the problematic state of affairs in the field of software development today is illustrated. The spectrum of possible software worlds of the future is characterized by its three extremes: an audacious (reckless), a backward (reactionary) and a celestial radical) software future.It is argued that the detailed specification, design and development of computer software is by nature an engineering field. In practice, however, software development is too often treated today as patchwork, conducted by underqualified personnel instead of by professionally educated engineers. This is the major cause of many problems and disappointments that we have been and still are experiencing in applying computer systems.     

基于模糊偏好关系的多智能主体决策

多智能主体决策在决策支持系统中的应用越来越广泛,但也带来了各智能主体决策一致性,以及选择最优决策方案的问题,为解决以上问题,该文提出了基于模糊偏好关系的多智能主体决策方法,该方法利用模糊聚合算子对多智能主体的决策结果进行聚合,并利用模糊偏好关系对决策方案进行排序,从而选择最优决策方案。     

电子印章法律问题初探

电子印章是电子签名的方式之一，对其所签合同的效力、电子印章的认证效力等法律问题进行研讨，对满足电子商务发展需求，减少交易成本、提高交易效率、保障交易安全具有理论和实践双重意义。     

电子印章法律问题初探

电子印章是电子签名的方式之一,对其所签合同的效力、电子印章的认证效力等法律问题进行研讨,对满足电子商务发展需求,减少交易成本、提高交易效率、保障交易安全具有理论和实践双重意义。