多Agent与虚拟实训的分析研究

研究分析实训做为学校教学的重要环节，一直以来很难取得良好效果的原因。提出使用计算机软件技术来虚拟实训过程。分析agent技术的特点，分析和研究在虚拟实训系统中运用多agent的智能代理。就对外贸易为倒设计一个虚拟实训系统，总结归纳智能agent在该系统的6项功能，并对各功能细项作出分析。同时，针对agent技术的可实现性，虚拟实训和智能教学的不同，虚拟现实在虚拟实训系统的运用做出了初步的探讨，最后，提出基于智能代理技术的虚拟实训系统模型。     

Agent在分布式数据库查询优化中的应用研究

对当今人工智能研究的热点agent系统在分布式数据库查询优化中的应用进行了研究与讨论,对agent和多agent系统的特性进行了分析,并提出了多agent系统与分布式数据库的结合应用模型.     

分布式环境下基于多Agent的人群模拟的研究与应用

人群模拟不仅需要对环境的虚拟实现,更需要高效地管理自治的智能体。论文中介绍了基于agent的分布式人群模拟系统,该系统主要由四部分组成:agent模块,地图模块,网络模块与agent管理模块。接着,还详细介绍了该系统的原理与应用,包括自治的agent与它们的行为,分层导航图与混杂网络结构拓扑结构。最后,对研究工作进行了结论并对未来的工作提出了一些好的想法。     

一种通用的表示多agent协作规划的形式化方法

Agent是驻留在某一环境下能够自主、灵活地执行动作以满足设计目标的行为实体,往往存在于一个动态的不完全可知的环境.为了实现目标,agent在环境中必须能像人一样思考,对各种行动的结果进行预测、推理、以决定下一步的目标和动作,同时agent还应具有特定的社会技能,如同步、通信等,通过相互合作来实现目标.Petri网是一种具有严格形式化定义的数学模型,非常适合异步并发系统的描述和创建,而多agent系统本身是一个动态,异步的系统,本文为此提出了一种基于有色网表示agent面向目标协作规划的形式化模型——CPNMP(Colored Petri Net ForMulti-Agent Planning)网系统,CPNMP网系统能描述和实现agent在动态环境下进行自主行动推理和互相协作,实现多agent面向目标规划.     

基于Agent的入侵检测系统研究

基于Agent的入侵检测系统是采用了Agent技术以保护信息系统安全的系统模式,成为近年来安全领域研究热点.本文对几个典型的基于Agent的入侵检测系统的框架结构、检测分析的处理方法和agent协同等进行了分析,并对基于agent的入侵检测系统存在的问题以及发展方向进行了讨论.     

计算机网络安全管理中人工智能系统的应用

为了更好促进人工智能技术在现代计算机网络安全管理中的科学应用,本课题重点研究探讨了神经网络系统、多agent系统和专家系统三个典型人工智能系统在计算机网络安全管理中的应用。研究发现:神经网络系统能够有效提升计算机网络安全管理系统的入侵检测能力、大幅降低入侵检测出错率;多agent系统的应用,可以有效提高计算机网络安全管理系统的网络态势感知与网络入侵检测能力,也有助于网络主动防御能力提升;专家系统的应用,则真正使计算机网络安全管理系统有了"智能",并且应用时间越长,系统的智能化特点越明显。因此,人工智能技术在计算机网络安全管理中的应用已是大势所趋。     

基于个人辅助Agent的E—Learning教学平台研究

在人工智能领域,辅助agent是一种能够帮助用户解决工作环境中特定任务的认知agent.本文将个人辅助agent应用于e-karning环境中,提出了一种具有记忆能力的辅助agent模型--MemoPELA,目的在于帮助学生和教师进行更好的教学活动.     

高校流程型应用系统的分析研究

本文介绍了流程型应用系统在数字化校园建设中的应用。着重探讨了有关高校业务的流程和协同问题，并以迎新系统为例，集中展现了流程型应用系统在实际应用中的优势和广阔前景。     

Agent冲突协商模型方法

提出的agent冲突管理协商模型方法是一种层次型的、通用的、适用于不同环境下的冲突协商管理模型，它主要由物理层、协议层、策略层、评判层组成，模型自下而上构成一个有机系统，模型的下层为上层提供支撑和服务。     

移动代理平台及其代理命名方法

Mobile agent technology has drawn a tremendous amount of attention from researchers in distributed computing recently as it promises to provied an elegant and efficient way of solving complex distributed problems,as well as offering a new approach to human-computer-interaction.In mobile agent systems,the mobile agent travels autonomously from one computer to another within the agent enabled networks,executes itself in the agent execution environment,collects useful information and makes its own decision on behalf of its owner.This mobility nature of mobile agent demands its unique name in the whole network otherwise it gets lost or conflicts with other mobile agent having same name.This paper proposes a naming scheme which promises a unique name for a mobile agent within that network.     

The design of motivational agents and avatars

While the addition of an anthropomorphic interface agent to a learning system generally has little direct impact on learning, it potentially has a huge impact on learner motivation. As such agents become increasingly ubiquitous on the Internet, in virtual worlds, and as interfaces for learning and gaming systems, it is important to design them to optimally impact motivation. The focus of this paper is on the design of agents and avatars (one’s self-representation as a visual agent) for enhancing motivational and affective outcomes, such as improving self-efficacy, engagement and satisfaction, moderating frustration, and/or improving stereotypes. Together with motivational messages and dialogue (which are not discussed here), the agent’s appearance is the most important design feature as it dictates the learner’s perception of the agent as a virtual social model, in the Bandurian sense. The message delivery, through a human-like voice with appropriate and relevant emotional expressions, is also a key motivational design feature. More research is needed to determine the specifics with respect to the ideal agent voice and the role of other nonverbal communication (e.g., deictic gestures) that may contribute to the agent’s role as an embodied motivator, particularly in the long-term.     

基于移动Agent的考试系统研究

本文简要地介绍了移动Agent特点,分析了传统的网络考试系统的缺点。利用移动Agent设计出新型的网络考试系统,并给出几个关键的Agent详细设计,指出移动Agent的网络考试系统需要关注的问题。     

School Design: A Classificatory Framework for a 21st-Century Approach to School Improvement

As attention turns from restructuring to school design as a means of securing school improvement, a bewildering range of design programmes/models are available. How are schools to make informed choices about their relative merits? This article suggests a classification, based on 10 criteria, by which to categorize their features, and to draw comparisons between them. The particular design adopted by the case school is described and analysed in terms of the classificatory framework, and its implementation by the perspective of the school leader/change agent. Finally, conclusions are drawn about the usefulness of the framework as a heuristic “device” for characterizing school design models (SDM) and their implementation. It is argued that refinement of the classificatory framework would result from similar case studies and the perspectives of others – besides the school leader/change agent – involved in their implementation.     

ECA Agent系统研究

ECA规则是主动数据库实现其主动性功能的重要机制,Agent技术的不断发展为主动数据库系统的分析、设计和实现提供了一个崭新的途径。对Agent技术引入ECA规则进行了研究,提出了ECA Agent系统的概念,并对ECA Agent系统的结构框架和各模块的功能以及它们之间的交互进行了探讨。     

The Assessment Agent System: design, development, and evaluation

This article reports the design, development, and evaluation of an online software application for assessing students’ understanding of curricular content based on concept maps. This computer-based assessment program, called the Assessment Agent System, was designed by following an agent-oriented software design method. The Assessment Agent System is composed of five types of software agents: instructor agent, student agent, management agent, assessment agent, and reporting agent. Software agents in the system, through communication and cooperation, collectively provide the functionalities of user-system interaction, user management, task authoring and management, assessment delivery, task presentation, response collection, automatic assessment, and reporting. One-to-one evaluations and group evaluations were conducted to reveal students’ perceptions of the Assessment Agent System. Measures of visual clarity, system functionality, consistency, as well as error prevention and correction indicate that the Assessment Agent System is a useful tool for large-scale assessment based on concept maps. Through the process of design, development, and evaluation of the Assessment Agent System, this study demonstrates the agent-oriented approach for producing educational software applications. Furthermore, this research explored the concept map assessment method for the Assessment Agent System. When node terms and linking phrases are provided, the assessment of student concept maps can be conducted automatically by comparing student concept maps with the criterion concept map, proposition by proposition. However, the validity of the proposition-comparing method depends on the accuracy and thoroughness of the criterion propositions. Therefore, assessment criteria need to be continually refined and improved through the examination of student-created propositions.     

基于机制阶段的显示原理算法比较

机制设计是博弈规则设计的主要的方法.即使假设在博弈中的代理都是自利的,也可以通过机制设计获得一个最佳结果.显示原理是机制设计中一个基本原理.本文论证了在对计算和通信给出一定的合理约束条件下,显示原理就可能无效.当单阶段机制转换到多阶段机制时,能够减少指数计算到线性计算,从而改善机制的复杂性.     

基于Agent的软件分析设计方法

随着计算机软件体系结构的复杂性不断增加,传统的软件分析设计方法已经无法满足实际工程需要。借鉴了面向对象的软件分析设计方法,从Agent与对象的区别着手,提出了基于Agent的软件分析设计方法,并结合常见的电子商务实例,给出了具体的分析步骤。     

环境友好型高效洗涤剂的配制及性能研究

采用复配技术制备了由表面活性剂和助剂组成的环保型高效液体餐具洗涤剂。通过正交试验设计法优化了最佳原料配比,对所配制洗涤剂的去污力和泡沫性能进行了测定。结果表明所得产品去污力强、稳定性好。     

基于智能代理的混合学习支持系统设计

混合学习提倡将传统学习与网络学习方式优势结合。将智能代理技术应用到混合学习之中,可以部分替代教师的工作,引导学生有效获取信息资源,简化教学设计和课程开发,同时能实现科学合理的评价。基于智能代理的混合学习支持系统的模型是通过学生代理、教师代理、教学代理、信息代理四个模块的功能设计,完成复杂、智能的工作及信息交换,实现混合学习的目的。     

DMF萃取精馏法精制乙酸乙酯的过程模拟研究

本文利用化工流程模拟软件AspenPlus采用萃取精馏,以DMF为萃取剂,对乙酸乙酯生产中的产品精制进行了模拟计算,详细分析了理论板数、进料位置、溶剂比和回流比对产品浓度的影响。结果表明,最优工艺方案为：理论板数40,粗酯进料位置29,萃取剂进料位置6,溶剂比1.6,回流比2.0,塔顶产品乙酸乙酯含量达到99.9%,质量达到GB/T3728-2007优等品标准,为分离过程的优化操作和设计提供依据。