基于Agent的电子白板系统模型

引入Ａｇｅｎｔ的概念及技术正在成为ＣＳＣＷ研究新的思考途径。文章基于ＣＳＣＷ与Ａｇｅｎｔ的电子白板系统的模型,讨论了模型的结构、Ａｇｅｎｔ的形式化表示、Ａｇｅｎｔ的形式化表示、Ａｇｅｎｔ之间通信等有关实现问题。     

多智能体系统支撑环境MAS/TH-5

ＭＡＳ／ＴＨ－５系统是具有一定开放性的支持ＭＡＳ构造与集成的支撑环境,它将开发与运行环境集为一体,形成整体解决方案．同时,文中所构造的具有实际应用价值的Ａｇｅｎｔ模型,为支撑环境提供了理论和技术基础．这种模型具有理性平衡的特点．该模型还为用户提供了建立其他Ａｇｅｎｔ模型的一般性框架,可以满足ＭＡＳ系统中Ａｇｅｎｔ交互的需求．在支撑环境上,文中所设计的Ａｇｅｎｔ语言具有描述ＢＤＩ等思维状态的能力,可处理较复杂的实际应用问题．     

基于Agent的工作流模型与应用

ＣＩＭＳ应用集成平台是企业实施ＣＩＭＳ有效支持工具,而ＭＩＳ系统则是整个ＣＩＭＳ集成平台的重要组成部分,主要研究了基于Ａｇｅｎｔ的工作流模型及其在ＭＩＳ系统中的应用,在ＷＦＭＳ参考模型的基础上,提出了一个基于Ａｇｎｅｔ的,易于扩展和移植的,以浏览器作为用户界面的工作流管理系统;ＡＢｓ－ＷＦＭＳ,并介绍了系统的运作方式。基于Ａｇｅｎｔ的工作流管理系统在浙江好来西ＣＩＭＳ系统的开发中作了有益的浓试。     

一种支持CSCW的软件系统开发方法研究

本文提出了一种支持ＣＳＣＷ的软件系统模型，该模型视支持ＣＳＣＷ的软件系统是由若干个Ａｇｅｎｔ相互协作而构成的Ｍｕｌｔｉａｇｅｎｔ问题求解系统。并给出了一种支持ＣＳＣＷ的软件系统开发方法——面向目标的模型化方法，它可以有效地设计支持ＣＳＣＷ的软件系统。     

基于MultiAgent和CSCW的多媒体教学模型

基于ＭｕｌｔｉＡｇｅｎｔ和ＣＳＣＷ的观点,提出一个多媒体教学模型,探讨了该模型的结构以及模型中Ａｇｅｎｔ的表示、通信等关键技术。     

自主机器人自组织结构IRASO的仿真研究

自主机器人车辆具有智能性和快速反应的特点,而在精确推理和实时性之间录示最佳折衷是体系结构的关键文中提出基于分布式多Ａｇｅｎｔ系统的自组织体系结构ＩＲＡＳＯ系统的自组织体系结构ＩＲＡＳＯ,Ａｇｅｎｔ之间动态组合以适应环境变化,公告板系统评估环境势态和指导Ａｇｅｎｔ组织,同时设计了Ａｇｅｎｔ协调工作的空间和时间模型,基于ＴＣＰ／ＩＰ的计算联勇域为异质分布式多Ａｇｅｎｔ的协作运行提供支持,仿真结果表明该     

基于Multi Agent技术的信息挖掘系统研究

信息挖掘技术是当代计算机研究领域的热门话题。本文将介绍当代社会信息挖掘的背景、分析ＷＥＢ挖掘的内涵,并将把智能Ａｇｅｎｔ和Ｍｕｌｔｉ Ａｇｅｎｔ系统（ＭＡＳ）引入信息挖掘领域,最后,结合实用软件Ｗｅｂ Ｌｉｇｈｔ阐述信息挖掘的智能过程作为全文总结。     

基于MAPE系统的CSCW框架与协同管理Agent的模型设计

该文针对多Ａｇｅｎｔ处理环境,在［１］［２］基础上给出了一个ＣＳＣＷ的系统框架。为了提高协同工作的效率,在［１０］的基础上提出了协同管理Ａｇｅｎｔ模型。该模型除具有一般Ａｇｅｎｔ的功能外,它还有三个子系统：通讯管理子系统、信息管理子系统和群决策支持系统。并把该框架与模型运用于制造工程领域,提出了一个ＣＡＤ／ＣＡＭ／ＣＡＰＰ一体化的协同工作框架。     

一种基于智能Agent的协同工作模型

计算机支持的协同工作（ＣＳＣＷ）需要研究出适应各种协同工作方式的灵活,开发,可扩充的模型结构,本文以分布式人工智能研究中的智能Ａｇｎｅｔ为系统基本单元,提出了一种基于智能Ａｇｅｎｔ的协同工作模型,给出了它的具体实现。     

基于主控流动的多级Multi-Agent系统

从分析人的思维活动着手,提出了模拟人类智能活动过程构筑Ｍｕｌｔｉ－Ａｇｅｎｔ系统的方法,并由该方法构造了基于主控流动的多级Ｍｕｌｔｉ－Ａｇｅｎｔ系统。其主要特点是把小 Ｍｕｌｔｉ－Ａｇｅｎｔ系统视为一个特殊的Ａｇｅｎｔ,并由这种特殊的Ａｇｅｎｔ组成更高一级的Ａｇｅｎｔ系统…从而形成多级Ｍｕｌｔｉ－Ａｇｅｎｔ系统,而且在每一级Ａｇｅｎｔ系统中均采用了主控流动策略,使得整个系统能够把巨量的Ａｇｅｎｔ有效地结合起来。系统效率高,能主动改变和适应环境,为设计具体的大规模Ｍｕｌｔｉ－Ａｇｅｎｔ系统提供了一种可行的解决方案。     

Towards a generic distributed and collaborative digital manufacturing

A framework for distributed manufacturing is proposed to facilitate collaborative product development and production among geographically distributed functional agents using digitalized information. Considering the complexity of products created in a distributed manufacturing scenario, it often requires close collaborations among a number of facilities. In this research work, various functional agents, such as the manufacturability evaluation agent (MEA), manufacturing resource agent (MRA), process-planning agent (PPA), manufacturing scheduling agent (MSA), shop floor agent (SFA), fault diagnosis agent (FDA), etc., can interact coherently for distributed manufacturing. With specific agents having unique functionalities, a manufacturing managing agent (MMA) acts as the centre of this distributed manufacturing system. The MMA agent assists the specific agents’ to work seamlessly and also to collaborate closely with the participating agents. In this way, the production cycle of a part can be optimized from product design to final manufacturing since all the production procedures are considered logically and every procedure is correlated. The agent language based on the knowledge query manipulation language (KQML) includes many pre-defined performatives that ease the participating agents to carry out their tasks intelligently by interpreting commands from one another. Additionally, to ensure the adaptiveness and upgradeability of the system, the internal structure of each functional agent that is based on JATLite is modularized into several components, including a communication interface, central work engine, knowledge base pool, and input/output modifier for possible future methodology enhancements.     

Agent Programming in 3APL

An intriguing and relatively new metaphor in the programming community is that of an intelligent agent. The idea is to view programs as intelligent agents acting on our behalf. By using the metaphor of intelligent agents the programmer views programs as entities which have a mental state consisting of beliefs and goals. The computational behaviour of an agent is explained in terms of the decisions the agent makes on the basis of its mental state. It is assumed that this way of looking at programs may enhance the design and development of complex computational systems.To support this new style of programming, we propose the agent programming language 3APL. 3APL has a clear and formally defined semantics. The operational semantics of the language is defined by means of transition systems. 3APL is a combination of imperative and logic programming. From imperative programming the language inherits the full range of regular programming constructs, including recursive procedures, and a notion of state-based computation. States of agents, however, are belief or knowledge bases, which are different from the usual variable assignments of imperative programming. From logic programming, the language inherits the proof as computation model as a basic means of computation for querying the belief base of an agent. These features are well-understood and provide a solid basis for a structured agent programming language. Moreover, on top of that 3APL agents use so-called practical reasoning rules which extend the familiar recursive rules of imperative programming in several ways. Practical reasoning rules can be used to monitor and revise the goals of an agent, and provide an agent with reflective capabilities.Applying the metaphor of intelligent agents means taking a design stance. From this perspective, a program is taken as an entity with a mental state, which acts pro-actively and reactively, and has reflective capabilities. We illustrate how the metaphor of intelligent agents is supported by the programming language. We also discuss the design of control structures for rule-based agent languages. A control structure provides a solution to the problem of which goals and which rules an agent should select. We provide a concrete and intuitive ordering on the practical reasoning rules on which such a selection mechanism can be based. The ordering is based on the metaphor of intelligent agents. Furthermore, we provide a language with a formal semantics for programming control structures. The main idea is not to integrate this language into the agent language itself, but to provide the facilities for programming control structures at a meta level. The operational semantics is accordingly specified at the meta level, by means of a meta transition system.     

XML描述KQML消息的研究与实现

KQML是一种较为成熟的代理通讯语言和通讯协议，而XML逐渐成为公认的一种代理通讯语言的发展方向。本文首先证明用XML对KQML消息进行描述是切实可行的。进而分析利用XML对KQML消息进行描述，提出了对XML文档进行分析的方法及用Java实现的方法。     

基于扩展KQML语言的Agent模板实现

文中针对生成Agent的模板JATLite的协议不完整性问题，分析了其工作原理，提出修改通信协议的方案，在JATLite中的KQML语言基础上定义了扩展的KQML语言，并实现了基于扩展KQML语言的新层次exkqmllayer，从而形成一个新的构建Agent系统的模板。     

一种基于OWL的入侵防御Agent通信机制

为了解决基于智能体Agent的分布式入侵防御系统中智能体之间由于语义通信能力差面导致难以沟通和协作等问题，该文设计并实现了一种善于OWL的入侵防御Agent通信机制。通过将OWL语言作为智能体KQML通信语言的内容语言来提高入侵防御系统中智能体Agent之间语义通信的能力。     

基于智能多代理的工作流资源分配

提出了一种基于智能多代理实现分布式工作流资源分配的方法。该方法采用KQML语言来设计资源分配代理和工作流引擎之间面向知识交换的通信协议,并且由Router提供消息存储和转发机制。工作流资源分配代理与工作流管理系统的其他代理程序通过KQML消息交流知识,从而达到在分布式、异构环境下的互操作。     

Modelling agent communication in a first order logic

In the design of information systems, the notion of agent has proven useful. When modelling communication among agents, deontic concepts, such as obligations, permissions, and prohibitions are essential. The dynamics of obligations, i.e. how obligations are created and destroyed, can effectively be described by means of notions from speech act theory. In this paper, we present a language that includes deontic and illocutionary constructs for the modelling of communication between agents. The language is a logic programming language, which gives it a simple semantics and makes it executable. A distinguishing feature of the language is that it is able to represent time explicitly, which is required to give an adequate semantics for deontic constructs.     

An adaptive and upgradable agent-based system for coordinated product development and manufacture

Last decade witnessed the growth of globally decentralized product development and manufacture. The complexity of products created in such a distributed environment often requires close collaborations among a number of design and production partners. In this paper, an agent-based system for coordinated product development and manufacture is presented. The system consists of two categories of agents. The first category consists solely of a managing agent (MA) and the second consists of many functional agents such as the manufacturability evaluation agent, resource agent, process-planning agent, scheduling agent, etc. Each agent represents a domain expert and it can be installed in an individual computer. All the agents could be dispersed in geographically different regions and communicate with one another through the Internet. With each functional agent having specific functionality, the MA is the center of the intelligent system. It assists the work of other agents and enables them to collaborate closely with one another. With such a system in place, a product life cycle can be optimized from product design to final manufacturing as all the procedures are considered comprehensively and integrally, and each procedure is performed in a way as to ease and expedite the work of other agents. An agent language, which includes many specifically defined performatives, is defined. Each agent can perform its task intelligently by interpreting the commands (performatives) from other agents. Moreover, with the consideration of possible future methodology changes, the internal structure of each functional agent is modularized into several components. Such an architecture ensures that the system is flexible, adaptive and upgradable.     

面向Agent的程序设计

本文针对所谓合作Agent应用问题阐述了一种面向Agent的程序设计AOP（agentori－entedprogramming）方法框架．其中提出了一种新的Agent编程语言（AOPL），设计并实现了其程序设计系统（AOPS），该系统支持AOPL到C的转换．同时，提出了一种新的Agent关系模型，讨论了该模型的组成及其在体现合作Agent应用系统的体系结构、指导Agent之间的协作行为和支持对系统结构特点的深层理解方面所发挥的重要作用．最后讨论了AOP在多功能感知系统中的应用．