基于MAS的网络坦克作战系统体系结构分析

网络坦克作战系统是一个复杂系统,对这一系统的研究实质上是一个复杂问题的求解过程.Agent技术为此提供了模块化及抽象化的问题求解方法.将网络坦克作战系统从功能结构的角度进行了模块化分割,提出了一种基于多Agent系统(MAS)的体系结构,将系统中的协作Agent分为5类:指挥决策Agent、局域协调控制Agent、分队级协调控制Agent,系统重构Agent和评价Agent,对这种体系结构进行了分析与研究.     

基于MAS的协作机制的网络坦克作战系统研究

提出了信息化条件下新型作战系统的模块化结构,对类似的作战系统-网络坦克作战系统的主要特征进行了总结概括;运用Agent技术对网络坦克作战系统建模,提出了具有主从层次结构的基于多Agent系统(MAS)的网络坦克作战系统,描述了其基本特征,并对系统基于MAS的协作机制-合同网机制和黑板机制及其多阶段协商过程进行了分析与研究.     

基于MAS的网络坦克作战系统重构机制与过程分析

动态重组能力是网络坦克作战系统经Agent技术强化后呈现出的重要能力和特征之一,是系统具有鲁棒性和灵活性的重要体现.作战系统重构需要有相应的机制和方法.提出了基于MAS(multi-agent system,多Agent系统)的系统重构机制,对重构过程进行了分析,并引用遗传算法进行重构过程的单元选择,以此对资源配置进行优化组合,提高作战效益,使系统尽可能快速地对适应战场情况变化.     

基于Agent的建模技术研究

基于Agent的建模技术是对复杂系统进行问题求解的一种新方法.在面向Agent方法的基础上提出了"基于Agent的建模技术"方法,并针对这一技术方法从系统组织的角度进行了系统性的研究,详细分析了用这一方法建模的主要流程,还首次将这一建模技术运用于"网络坦克作战系统-协作故障诊断与技术维护系统"进行实例分析,根据系统的组织结构和组织目标,构建了3类Agent:系统接口Agent,故障分析Agent和故障区域分析Agent,系统通过3类Agent间的交互协作实现问题求解.最后讨论了应用该技术应注意的主要问题.     

基于角色和CSCL的多Agent协作过程研究

网络环境下多Agent协作问题是当前MAS研究的主要方向。在一种新型的智能CSCL模型RICL的基础上,研究CSCL系统中基于角色的多Agent协作问题,给出基于角色的群体交互和协同规则,从而为协作问题求解提供一个新的模式。     

基于多Agent的复合模型求解自适应QoS机制

在基于网络的分布式系统应用基础上,分析了大型复杂问题复合模型协作求解的过程特征描述,提出基于多Agent 的领域问题协作求解的主动控制策略,探讨了用户交互Agent、系统主控Agent、协作Agent以及模型Agent和数据Agent等复合模型协作求解的4种Agent类型。应用多Agent层次结构,提出一种复合模型协作求解的自适应QoS体系结构,通过实现复合模型协作求解的主动调度规划算法对其进行了验证,支持分布式网络环境下实现模型资源和数据资源的共享,以提高协同计算环境分布式问题协作求解的运行效率和服务质量。     

多智能体的分布式智能故障诊断

基于分布式人工智能的思想 ,将多Agent技术引入复杂故障诊断领域 ,分析了基于MAS的分布式智能故障诊断方法和过程 ;讨论了基于模式聚类的故障求解机制及对诊断问题任务辨识、分解 ;研究了多Agent宏观上的约束和关联 ;设计了应用Agent工作状态的表达机制 ;确定了应用Agent间的工作状态影响关系及多Agent间的交互、协作和通讯 ;构建了多Agent模糊关联模型 ;给出了多Agent诊断系统局部诊断决策与全局诊断决策的集成描述结构 ;建立了一种分布式Agent诊断系统结构及其原型系统 .在某电力企     

联合战役决心方案自动生成系统中多Agent协作方法

在用MAS技术研制联合战役决心方案自动生成系统时，多Agent间的协作是一个必须解决的问题。通过分析该系统中Agent间协作的时机、特点，以及体系能力的量化和作战效能的计算，提出了基于综合作战效能和任务难度的定性定量相结合的多Agent协作方法，建立了合作模型，对解决战役自动决策问题起到了积极作用。     

基于角色和协作场景的MAS管理模型及应用

MAS协作管理是实现Multi-Agent协同工作的关键理论与技术。本文通过引入基于角色的策略和Agent协作场景ACS,提出了一种面向MAS的多Agent协作管理参考模型MACM^2（Multi-Agent Collaboration Management Model）,并给出它在基于智能体的网络文本信息检索系统中的具体应用。该模型在实际系统中解决了协作管理的复杂性问题,提高了Agent的协作能力,同时也降低了系统开销。     

MAS系统的问题求解能力分析

本文用状态空间搜索模型分析了多Agent系统(MAS)的问题求解能力，认为MAS系统中Agent之间知识的组合应用和对问题搜索方向的交互和决策是影响MAS系统问题求解能力的主要原因，在状态空间搜索模型下可以将Agent间知识的组合应用表达为不同Agent的搜索路径的组合，而Agent对搜索方向的判断是基于启发式信息做出的，从而为形式化分析MAS系统的性能建立了通用的模型．本文以A*算法为例探讨了可采纳算法下多Agent合作求解效果与Agent的知识和启发信息之间的关系，指出只有在一定条件下MAS系统才会获得更好的解题能力．本文还对非可采纳算法下MAS系统性能分析方法提出了初步看法．     

Only connect: teaching, technology and telesis

Abstract This paper describes an approach to the design of interactive multimedia materials being developed in a European Community project. The developmental process is seen as a dialogue between technologists and teachers. This dialogue is often problematic because of the differences in training, experience and culture between them. Conditions needed for fruitful dialogue are described and the generic model for learning design used in the project is explained.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

Avoiding semantic and temporal gaps in developing software intensive systems

Development of software intensive systems (systems) in practice involves a series of self-contained phases for the lifecycle of a system. Semantic and temporal gaps, which occur among phases and among developer disciplines within and across phases, hinder the ongoing development of a system because of the interdependencies among phases and among disciplines. Such gaps are magnified among systems that are developed at different times by different development teams, which may limit reuse of artifacts of systems development and interoperability among the systems. This article discusses such gaps and a systems development process for avoiding them.     

Designing economic np control charts: A programmed simulation approach

This paper presents control charts models and the necessary simulation software for the location of economic values of the control parameters. The simulation program is written in FORTRAN, requires only 10K of main storage, and can run on most mini and micro computers. Two models are presented - one describes the process when it is operating at full capacity and the other when the process is operating under capacity. The models allow the product quality to deteriorate to a further level before an existing out-of-control state is detected, and they can also be used in situations where no prior knowledge exists of the out-of-control causes and the resulting proportion defectives.     

The development of robot art

Going through a few examples of robot artists who are recognized worldwide, we try to analyze the deepest meaning of what is called “robot art” and the related art field definition. We also try to highlight its well-marked borders, such as kinetic sculptures, kinetic art, cyber art, and cyberpunk. A brief excursion into the importance of the context, the message, and its semiotics is also provided, case by case, together with a few hints on the history of this discipline in the light of an artistic perspective. Therefore, the aim of this article is to try to summarize the main characteristics that might classify robot art as a unique and innovative discipline, and to track down some of the principles by which a robotic artifact can or cannot be considered an art piece in terms of social, cultural, and strictly artistic interest. This work was presented in part at the 13th International Symposium on Artificial Life and Robotics, Oita, Japan, January 31–February 2, 2008     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。     

How do children do mathematics with LOGO?

Abstract  This paper considers some results of a study designed to investigate the kinds of mathematical activity undertaken by children (aged between 8 and 11) as they learned to program in LOGO. A model of learning modes is proposed, which attempts to describe the ways in which children used and acquired understanding of the programming/mathematical concepts involved. The remainder of the paper is concerned with discussing the validity and limitations of the model, and its implications for further research and curriculum development.