基于多agent的军事物流系统仿真建模方法*

针对军事物流系统复杂性和不确定性的特点,提出了一种基于多agent的系统仿真建模方法。采用中间到两端的多层agents组织方式,引入agent分区概念对agent行为分别进行详细描述。在基于中间层agents逻辑模型的基础上抽象上层agents和下层agents。通过中间层各agent的活动映射而构造的下层agents负责特定的事务处理。中间层agents负责协调下层agents的信息传递,并与上层agents进行交互;上层agents负责协调中间层agents之间的交互。给出了系统模型的仿真实验方法,最后建立了基于多agent的军事物流仿真模型,并通过系统模型的仿真运行,对系统模型的正确性进行了检验。     

ACP--一种基于局部邮区的移动agent通信算法

agent的迁移在位置透明性、通信可靠性以及迁移和执行的异步性等多方面对通信算法的设计提出了挑战,提出一种基于局部邮区的移动agent通信算法,通过在agent当前通信和迁移活动较集中的区域建立局部邮区来支持消息的高效传输,且通过对邮区迁移和消息发送的同步来保证通信的可靠性。此外,算法支持通信的位置透明性,对Home结点依赖少,对agent迁移不做限制,且具有较好的适应性和容错性。     

一种面向用户的Agent交互描述语言

Agent的应用最终是面向普通用户的,所以为了促进普通用户对agent的使用和理解,设计和实现了Q语言。该文首先介绍了Q语言的设计目的,执行机理,及基本的语法构件。在此基础上,通过一个应用说明了如何利用Q语言来设计用户和agent之间的交互。     

基于关系的两维意向结构

从建构agent角度出发,提出了一个基于关系结构的包括agent意向、信念以及目标等认知状态的框架.在此框架中,实现目标的意向形成了两维序结构,其中一维表示意向间的时序关系,另一维表示意向间的相干关系,在此基础上,研究了信念、意向和目标的相互关系.因为摒弃了传统的用模态算子来刻画agent的意向的方法,所以在构建agent时,可以直接采用意向库以及意向间的时序、相干关系来表示agent的意向,从而缩小了agent理论模型与实际agent结构之间的差异,为agent结构的建立提供了必要的理论基础.     

分布式集成中间件CSE/MA的设计与实现

为扩展分布式计算环境,支持系统集成,本文开展了基于多agent的分布式集成中间件CSE/MA的研究,试图为应用开发者提供一种开发客户/服务器应用的通用开发框架,支持应用开发者方便灵活地建立各种客户/服务器应用.本文首先提出CSE/MA的框架结构,讨论利用CSE/MA建立客户/服务器应用的组成成分、工作原理和工作过程;其次,讨论CSE/MA的管理核心Register所提供的服务及其实现算法,提出服务agent和请求agent的实现框架及其设计与实现;最后对CSE/MA的技术特点和地位作了概括性的总结.     

基于Multi-Agent的虚拟企业集成框架研究

本文采用多智能体技术构建虚拟企业集成框架 ，在该框架中，由agent代表各成员企业，相应地，多智能体系统(Multi-Agent System)代 表虚拟企业．其中重点提出了agent通用结构，它包括核心层、接口、通讯层三个组成部分 ：核心层由企业的原有系统构成，以保证企业的自治性；接口实现了agent核心层与通讯层 之间的信息交换；通讯层则支持agent之间的交互，实现企业间的合作．该虚拟企业集成框 架不仅支持虚拟企业像一个企业一样进行工作，而且实现了虚拟企业的可重用、可重构和可 扩充，并使企业根据需要同时参加多虚拟企业成为可能．     

面向普适计算的多Agent协同设计系统模型

根据普适计算的特点,提出了一种多agent协同设计系统框架模型.考虑到普适计算环境下移动设备的交互和多通道的信息集成,该模型在已有多agent协同设计系统的框架模型上增加了相应的agent,并且在设计agent的结构中包含了通道识别、上下文生成及多通道信息整合模块,以处理多通道的信息.详细介绍了在该agent模型中基于设计上下文的知识表示、搜索和更新式学习算法,以及协同设计系统中多agent知识共享的方法.该研究对于普适计算在设计领域中的应用有重要的意义.     

并行计算通信库测试方法研究及实践

并行计算通信库的测试在并行计算系统中起着重要的作用.对通信库的测试一般都是通过设计一些测试程序对库的各个或几个部分分别进行单独隔离测试.但是有许多库中的错误用这种隔离测试方法测不出来,只有当库的多个部分以某种复杂的、有机的方式组合运行时才会暴露出来.而这种复杂的、有机的组合方式,从设计库的测试角度看很难形成.提出两种新的测试方法,根据通信库结构的分层特性,利用可移植的上层库的测试程序来测试下层库.上层库的测试程序也可看做是下层库的应用程序,但与一般的下层库应用程序不同,它几乎覆盖了下层库的各个部分,且有机地将它们组合起来,运行时形成某种复杂的形态,而仅用下层库的测试程序往往达不到这种形态.这样,逃过下层库测试程序的错误就可能暴露出来.     

基于多agent和分层递阶结构的城市快速路网多模控制*

提出了基于多agent和分层递阶智能结构的城市快速路网多模控制策略。执行级agent采用单点积分反馈控制策略,协调级agent采用多匝道协调控制策略,组织级agent采用路线诱导与匝道控制相集成的控制策略。仿真表明,多模控制能灵活有效地适应路网中各种状况的实时变化,控制效果良好。     

集成工作流与Multi-agents技术的供应链协同管理

提出了集成工作流与软件Agent技术的供应链协同管理框架及方法，通过工作流管理系统及多Agcnt的设计，应用XML描述的工作流过程规范，由软件Agent实时地执行和重置具体的工作流任务，从而达到供应链协调管理的目的。     

Developing Real Applications With Agent Technologies

In this paper, we present an agent library to develop multi-agent applications. Such an agent library has been realised taking into account FIPA specifications. FIPA specifications give the minimum amount of technology deemed necessary for the management of agents in an open agent system, including agent roles, an agent communication language, an agent management content language, and a standard way to interact with non-agentised software.Therefore, the library offers the prototypes of the agents necessary for the management of a FIPA agent open system and an agent prototype that the user can specialise to build the other agents necessary for her/his application. The library has been implemented both in C++ and Java. The two implementations support a logical distribution, i.e., the agents correspond to different threads, and a physical distribution, i. e., agents of the same applications run on different machines. The Java library has been used to develop a multi-agent system, that facilitates users to use a video on demand service, and a first prototype of the system is under experimentation. The C++ library is used for the development of a multi-agent system that should integrate the different software modules performing sensory data interpretation, planning, faults diagnosis, . . . of a robot working in a space station.     

多主体交互协议的表示和实现

多主体系统中,按照协议进行的交互具有显著的优点。文章首先提出一种交互协议表示方法,从协议描述和决策规则两方面来表示交互协议;然后改进主体的结构,提出一种知识层、会话控制层和通信层的三层结构,在原有主体结构中增加交互协议解释器。这种方法使得主体可以灵活地选择交互协议,同时将会话控制从知识层中分离出来,不仅使得交互更加可靠,而且减轻了主体推理的负担,简化了知识层的结构。     

基于多Agent的网上教学系统模型的研究

随着人工智能技术的不断发展和完善,人工智能领域的理论(特别是Agent技术)不断地被应用到网上教学系统(NTS,Network Teaching System)中,从而给NTS的研究与应用提供了新的发展空间。文中设计了一个基于多Agent的网上教学系统模型,详细描述了本NTS结构的三层:应用层、集成层、数据层,及多Agent的通信机制。     

Agent and multi-agent applications to support distributed communities of practice: a short review

This paper concerns the relationship between agents or multi-agent systems and distributed communities of practice. It presents a review of a number of agent and multi-agent applications with features that could contribute to supporting distributed communities of practice. The association is promising because of features like autonomy, pro-activity, flexibility or ability to integrate systems that characterize agents and multi-agent systems. Furthermore, such an association is a step towards building mixed communities of humans and artificial agents. To understand how agents and multi-agent systems could answer some of the needs of distributed communities of practice, we organize the analyzed applications into five different categories defined by considering the main activities of a community, namely: Individual Participation, Synchronous Interactions, Asynchronous Interactions, Publishing and Community Cultivation. Such a classification helps us identify the relevant features of the current technology and determine some that should be further developed, e.g. to support community coordination or gather information related to virtual communities. For each application we selected, we present its main approach and point out its potential interest.     

Topological analysis of a two coupled evolving networks model for business systems

In multi-agent systems, the underlying networks are always dynamic and network topologies are always changing over time. Performance analyses of topologies are important for understanding the robustness of the system and also the effects of topology on the system efficiency and effectiveness. In this paper, we present an example of a real-world distributed agent system, a digital business ecosystem (DBE). It is modelled as a two coupled network system. The upper layer is the business network layer where business process between different business agents happen. The lower layer is the underlying P2P communication layer to support communications between the agents. Algorithms for multi-agent tasks negotiation and execution, interaction between agents and the underlying communication network, evolutionary network topology dynamics, are provided. These algorithms consider the two network layers evolving over time, with effects on each other. Through a comprehensive set of discrete event simulation, we investigate the effects of different evolutionary principles inspired by random graph and scale-free network in complex network theory on the topological properties and performance of the underlying network. We also find several rules to design a resilient and efficient P2P network.     

多主体行为模拟的层次Petri网方法

对多主体系统中主体行为间关系进行准确的描述和分析是保证多主体系统顺利运行的关键因素之一。与已有的基于Petri网的方法不同,该文将主体的动作分类为内部和外部动作,利用Petri网系统描述单个主体的内部结构,进而得到多主体系统的层次Petri网系统模型,每个主体的内部结构在系统网系统中表现为一个替代变迁元素,如此可以从两个层次（系统层和主体层）上对多主体系统的各种动态行为间的关系,特别是并发关系进行描述和分析。     

基于Markov对策的多智能体协调方法及其在Robot Soccer中的应用

提出了一种分层的基于Markov对策的多智能体协调方法,根据多智能体之间的竞争和合作的关系,高层采用零和Markov对策解决与对手之间的竞争,低层采用团队Markov对策完成与团队内部的合作．通过在Robot Soccer中的应用和实验,说明了基于Markov对策的多智能体协调方法优于传统的多智能体学习．     

面向服务的企业应用集成架构研究

对传统的企业应用集成方法进行分析,提出一种基于SOA模型的企业应用集成框架,并讨论了相关的支撑技术;给出了Web Services集成实现模型—传输层、消息层、描述层、保证层和组合层。面向服务的实现企业应用集成框架的方式,能较好地解决企业原有应用系统集成的问题,从而克服了EAI传统解决方案中的缺点,建立了一套独立于语言并且跨平台的系统集成方案,并给出了一个面向服务的企业应用集成系统实例。     

Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture

The development of enabling infrastructure for the next generation of multi-agent systems consisting of large numbers of agents and operating in open environments is one of the key challenges for the multi-agent community.Current infrastructure support does not materially assist in the development of sophisticated agent coordination strategies. It is the need for and the development of such a high-level support structure that will be the focus of this paper. A domain-independent (generic) agent architecture is proposed that wraps around an agent's problem-solving component in order to make problem solving responsive to real-time constraints, available network resources, and the need to coordinate—both in the large and small—with problem-solving activities of other agents. This architecture contains five components, local agent scheduling, multi-agent coordination, organizational design, detection and diagnosis, and on-line learning, that are designed to interact so that a range of different situation-specific coordination strategies can be implemented and adapted as the situation evolves. The presentation of this architecture is followed by a more detailed discussion on the interaction among these components and the research questions that need to be answered to understand the appropriateness of this architecture for the next generation of multi-agent systems.