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。     

基于MaSE和JADE的智能会议系统研究与设计

研究了Agent技术在处理分布式系统中的问题,说明了应用MaSE(multi-agent systems engineering)方法、JADE(java agent development framework)架构和开发工具Agent Tool构建多Agent系统的优点,并与原有方法进行了比较,开发了应用面向对象方法分析与设计的智能会议日程安排系统,阐述了系统的执行过程.该系统具有自治性,可自动地确定会议日程,并为多噜Agent系统的研究提供了基础.     

数据建模工具及其在决策支持系统中的应用

随着数据建模工具的不断推新,开发决策支持系统所能选择的建模工具也越来越多。论文在介绍几种商品化系统建模工具的基础上,对它们的特点进行了较全面的比较,对它们基于应用的优缺点进行了分析。在选定数据建模工具ERWin后,详细论述了其在决策支持系统的具体应用。     

村庄布局优化DSS与GIS的系统集成

通过村庄布局优化决策支持系统案例着重讨论了ＧＩＳ与ＤＳＳ的系统集成。介绍了通过地理信息库与数据库和模型库的链接实现地图上村庄信息的显示和查询,以及村庄合并搬迁后在地图上的动态变化。使用户的决策活动更直观方便,具有较强的实用性和创新性。该系统不仅在实际应用中取得了良好的效果,而且具有一定的扩展前景。     

A Roadmap of Agent Research and Development

This paper provides an overview of research and development activities in the field of autonomous agents and multi-agent systems. It aims to identify key concepts and applications, and to indicate how they relate to one-another. Some historical context to the field of agent-based computing is given, and contemporary research directions are presented. Finally, a range of open issues and future challenges are highlighted.     

Factors influencing the Development and Adoption of Knowledge Based Decision Support Systems for Small,Owner-Operated Rural Business

This paper provides an analysis of existing literature and practical problems associated with the adoption of a developed knowledge-based decision support system (KBDSS) within small rural businesses. The rural small businesses selected for this study were individual farms within the Australian dairy industry and the developed KBDSS was called DairyPro. The object was to determine the factors that could help with future KBDSS development and improve adoption rates. These factors were tested against DairyPro to determine their effectiveness. This analysis indicates that system developers need to have a good working knowledge of the target industry and to understand the types of decisions that are made by managers in order to develop systems that will be used. A review of the literature also suggests that adoption rates can be influenced by cultural, political, educational and age factors as well as individual characteristics of information technology itself. Small business managers needed more ownership in the process of KBDSS development. The author suggests that the factors affecting KBDSS adoption by dairy farmers can be equally applicable to other small, owner-operated rural businesses. This approach advocates the use of domain experts to provide estimates of expected production levels rather than that of the traditional approach of using the results from mathematical or simulation models to make these estimates.     

Supporting decision making process with “ideal” software agents - What do business executives want?

According to Simon’s (1977) decision making theory, intelligence is the first and most important phase in the decision making process. With the escalation of information resources available to business executives, it is becoming imperative to explore the potential and challenges of using agent-based systems to support the intelligence phase of decision-making. This research examines UK executives’ perceptions of using agent-based support systems and the criteria for design and development of their “ideal” intelligent software agents. The study adopted an inductive approach using focus groups to generate a preliminary set of design criteria of “ideal” agents. It then followed a deductive approach using semi-structured interviews to validate and enhance the criteria. This qualitative research has generated unique insights into executives’ perceptions of the design and use of agent-based support systems. The systematic content analysis of qualitative data led to the proposal and validation of design criteria at three levels. The findings revealed the most desirable criteria for agent based support systems from the end users’ point view. The design criteria can be used not only to guide intelligent agent system design but also system evaluation.     

A DSS for integrated distribution of empty and full containers

A DSS integrating empty and full containers transshipment operations is presented, addressing the typically unbalanced export/import containers trading problem. The problem is modeled as a network, where nodes represent customers, leasing companies, harbors and warehouses, while arcs represent transportation routes. The underlying mathematical model operates in stages, first prioritizing and adjusting full containers demands considering available empty containers supplies, and then statically optimizing costs. Transportation routes are registered and dynamically controlled, cyclically, for a given time horizon. The DSS is flexible, allowing several parameters to be configured. Experimental examples using randomly generated parameters were conducted to evaluate the effectiveness of the system.     

软件项目知识管理平台的研究与实现

该文首先根据软件项目开发的特点构建了一个可供软件开发人员共享的知识管理平台的框架模型;然后,在此基础上,结合web2.0的技术优势,利用开源框架DotNetNuke设计了一个可以快速构建知识管理平台的解决方案,为软件项目企业构建知识管理平台提供了一种可行的方法。     

一种决策支持系统开发模式的研究与实现

决策支持系统(DSS)是主要面向企业的中高层领导，用于帮助领导者进行事件决策和趋势分析的应用。针对这些需求，文中将介绍一个用于银行业的决策支持系统的开发方法。本系统遵循J2EE标准，并在3一层结构的基础上再一次解耦，使每层的功能更加单一化。在系统的核心部分采用Java平台的组件技术，设计出一个可供决策者方便地构建、执行、存储、扩充模型并且可移植的模型系统。而数据访问接口则是整个中间层可移植的基础。实践证明这种开发方法具有开发周期性短、可维护性强等特点。     

Enabling run-time composition and support for heterogeneous pervasive multi-agent systems

User needs-driven and computer-supported development of pervasive heterogeneous and dynamic multi-agent systems remains a great challenge for agent research community. This paper presents an innovative approach to composing, validating and supporting multi-agent systems at run-time. Multi-agent systems (MASs) can and should be assembled quasi-automatically and dynamically based on high-level user specifications which are transformed into a shared and common goal–mission. Dynamically generating agents could also be supported as a pervasive service. Heterogeneity of MASs refers to diverse functionality and constituency of the system which include mobile as well as host associated software agents. This paper proposes and demonstrates on-demand and just-in-time agent composition approach which is combined with run-time support for MASs. Run-time support is based on mission cost-efficiency and shared objectives which enable termination, generation, injection and replacement of software agents as the mission evolves at run-time. We present the formal underpinning of our approach and describe the prototype tool – called eHermes, which has been implemented using available agent platforms. Analysis and results of evaluating eHermes are presented and discussed.     

基于可拓知识模型的决策评价系统的研究与实现

该文结合循环经济发展评价指标体系特征,以可拓学的物元模型和可拓集合、关联函数理论为基础,结合层次分析法,建立了研究复杂指标体系和评价模型的可拓知识表示方法和实现方法,并给出了面向对象的可拓知识表示框架和知识库的逻辑设计。     

分布式园艺作物智能系统平台的研究与开发

智能系统在园艺作物生产管理中的作用日益显著。文中实现了一个园艺作物智能系统的快速开发工具,该工具采用符合．NET标准的Browser／Server中间件,实现了分布式数据管理。基于加权模糊逻辑的推理机制,建立了应用框架模型,设计了知识检测和求精算法,确保了模糊规则的一致性、完整性和正确性。该工具在实际工作中得到了较好的应用。     

Implementation and evaluation of an Asbru-based decision support system for adjuvant treatment in breast cancer

The domain of cancer treatment is a promising field for the implementation and evaluation of a protocol-based clinical decision support system, because of the algorithmic nature of treatment recommendations. However, many factors can limit such systems’ potential to support the decision of clinicians: technical challenges related to the interoperability with existing electronic patient records and clinical challenges related to the inherent complexity of the decisions, often collectively taken by panels of different specialists. In this paper, we evaluate the performances of an Asbru-based decision support system implementing treatment protocols for breast cancer, which accesses data from an oncological electronic patient record. Focusing on the decision on the adjuvant pharmaceutical treatment for patients affected by early invasive breast cancer, we evaluate the matching of the system's recommendations with those issued by the multidisciplinary panel held weekly in a hospital.     

神经网络与专家系统结合的DSS模型智能构造

模型智能构造是目前IDSS发展的一个趋势.针对DSS模型构造中存在的问题,提出了一种神经网络与专家系统结合的DSS模型智能构造方案及其系统结构.在对文字描述和数据描述分离的基础上,应用专家系统实现模型类型的选择,应用神经网络实现模型结构的构造.以ARMA模型智能构造为例,说明了方法的可行性和有效性.     

DSS for computer security incident response applying CBR and collaborative response

Recently, as hacking attempts increase dramatically; most enterprises are forced to employ some safeguards for hacking proof. For example, firewall or IPS (Intrusion Prevention System) selectively accepts the incoming packets, and IDS (Intrusion Detection System) detects the attack attempts from network. The latest version of firewall works in cooperation with IDS to immediately response to hacking attempts. However, it may make false alarms that misjudge normal traffic as hacking traffic and cause network problems to block the normal IP address by false alarms. By these false alarms made by IDS, system administrators or CSOs make wrong decisions and important data may be exposed or the availability of network or server system may be exhausted. Therefore, it is important to minimize the false alarms.As a way of minimizing false alarms and supporting adequate decisions, we suggest the RFM (Recency, Frequency, Monetary) analysis methodology, which analyzes log files with incorporating three criteria of recency, frequency and monetary with statistical process control chart, and thus leads to an intuitive detection of anomaly and misuse events. Moreover, to cope with hacking attempts proactively, we apply CBR (case based reasoning) to find out similarities between already known hacking patterns and new hacking patterns. With the RFM analysis methodology and CBR, we develop DSS which can minimize false alarms and decrease the time to respond to hacking events. In case that RFM analysis module finds out unknown viruses or worms occurred, this CBR system matches the most similar incident case from case-based database. System administrators can easily get information about how to fix and how we fixed in similar cases. And CSOs can build a blacklist of frequently detected IP addresses and users. This blacklist can be used for incident handling.Finally, we propose collaborative incident response system with DSS, this distributed agent systems interactively exchange the suspicious users and source IP addresses data and decide who is true-anomalous users and which IP addresses is the most riskiest and then deny all connections from that users and IP addresses automatically with less false-positives.     

在DSS／EIS＆OLAP环境下构造FoodMark数据仓库的设计与实现

1 引言 DSS的全称是Decision Supply System,即决策支持系统,是分析数据环境的一种称呼,也是数据仓库存在的环境;EIS是Executive Information Processing的缩写,就是指高级管理员信息系统,说得更准确一点,EIS实现的功能是DSS中的一类功能子集;而OLPA的全称是Online AnalyticalProcessing,即联机分析处理,在Microsoft SQL2000中称为Analysis Services。FoodMark是Microsoft Corporation为了展示其Analysis Services而提供的一个数据库例库。本文实