基于Agent技术的交通流仿真研究

基于我国当前的交通问题以及传统交通管理系统的特点,在前人的理论基础上,文中将agent技术应用于智能交通系统,运用系统中各个元素进行agent建模。介绍了KQML语言规范并详细探讨了KQML消息机制在agent通信中的应用,在此基础上选择Java编写agent消息类,构建仿真系统。系统在周期边界条件下进行单车道交通流仿真,真实地再现了流量-平均速度、密度-流量之间的关系。仿真结果表明,基于agent的智能交通仿真能够细致地刻画交通流特性和交通实体的微观行为。     

基于改进离散PSO算法的DSR协议

提出一种基于改进离散粒子群优化算法的DSR协议——P-DSR.引入智能代理作为粒子,将求解Ad hoc网络的最优路由问题等效为0-1组合优化问题,将链路稳定因子作为粒子群优化算法的适应值函数.仿真结果表明,与传统DSR协议相比,P-DSR协议具有较低的端到端时廷及较高的数据包投递率.     

基于服务的Agent社会组织研究

Web Service应用上的人工架构模式成为了其被高度重用的瓶颈。通过Agent对Web Service的封装能极大地改善WebService资源在应用上的主动性及智能性。针对Web Service封装后所形成的Agent服务,给出了基于服务本体及Agent服务描述语言(ASDL)的服务发现方法,并在此基础上给出了基于服务的Agent社会组织机制。实际应用证明方法可行有效。     

Concurrent consideration of evacuation safety and productivity in manufacturing facility planning using multi-paradigm simulations

Manufacturing facilities are expected to maintain a high level of production and at the same time, employ strict safety standards to ensure the safe evacuation of the people in the event of emergencies (fire is considered in this paper). These two goals are often conflicting. This paper presents a methodology to evaluate evacuation safety versus productivity concurrently for various, widely known manufacturing layouts. While the safety performance indicators such as evacuation times are inferred from the crowd (agent based) simulation, the productivity performance indicators (e.g. throughput) are analyzed using the discrete event simulation. To this end, this research focuses on creating innovative techniques for developing accurate crowd simulations, where Belief-Desire-Intention (BDI) agent framework is employed to build each person’s individual actions and the interactions between them. The data model and rule based action algorithms for each agent are reverse-engineered from the human-in-the-loop experiments in the immersive virtual reality environments. Finally, experiments are conducted using the constructed simulations to compare safety and productivity for different layouts. To demonstrate the proposed methodology, an automotive power-train (engine and transmission) manufacturing plant was used. Initial results look quite promising.     

Multi-agent collaborative 3D design with geometric model at different levels of detail

This paper presents a scheme for collaborative 3D design using product model at various levels of detail (LODs). Design features are selectively hidden at each level from certain participants, depending on their actual needs and individual accessibility in the collaboration. A tree data structure represents the feature hierarchy of CAD construction, the link between feature and LOD, and 2D mesh data for display control of each feature. An XML/XSLT-based approach is proposed to enable real-time visualization of different LOD models in distributed environment. A collaborative design system is implemented using multi-agent technologies, which focuses on function design of each agent, interactions among agents, the client–server structure, and generation of the LOD data using the XML/XSLT approach. A scenario of synchronous 3D mold assembly demonstrates that geometric categorization of product model provides an operational mechanism for assuring security of information sharing in engineering collaborations over the Internet. It also validates the effectiveness of the agent technologies for automating complex engineering activities.     

Full mobile agent interoperability in an IEEE-FIPA context

The existence of heterogeneous mobile agent systems hinders the interoperability of mobile agents. Several solutions exist, but they are limited in some aspects. This article proposes a full interoperability solution, in the context of the IEEE-FIPA agent standards, composed of three parts. The first part is a simple language-independent agent interface that enables agents to visit locations with different types of middlewares. The second part is a set of design models for the middlewares to support agents developed for different programming languages and architectures. And the third part is a method based on agents with multiple codes and a common agent data encoding mechanism to enable interoperability between middlewares that do not support the same programming languages. Furthermore two agent interoperability implementations, and its corresponding performance comparison, carried out over the JADE and AgentScape agent middlewares are presented.     

Extending process automation systems with multi-agent techniques

This paper presents a design of a process automation system extended with multi-agent systems (MAS) and experiments with its implementation. According to this design, MAS can be used to extend the functionality of ordinary process automation systems at higher levels of control. Anticipated benefits of this include enhanced reconfigurability, responsiveness and flexibility of the resulting automation system. The design also takes into account particular characteristics of process automation. An agent platform for process automation is presented as a basis for applying MAS. A FIPA-compliant agent platform is extended with process automation specific functionality. The platform utilizes a hierarchical agent organization and a BDI-agent model. Two applications are implemented using the platform. One of these shows how the techniques of distributed planning can be applied in discrete control. The other provides a model for supervisory continuous control using the techniques of distributed search. Experiments performed with a laboratory test environment using the applications are presented. They are able to demonstrate the feasibility of the approach in test scenarios.     

基于Bit承诺的合同网模型

在分析现有合同网模型的基础上,针对合同网协商过程中的安全问题,利用Bit承诺协议和RSA算法,给出一个具有安全性的合同网协商模型,保证Agent之间信息的安全传输,防止协作Agent反悔、拒绝履行承诺。该协商模型满足不可否认性和强可验证性,投标价格保密安全,技术简单,通信量小。     

AGR元模型到组织抽象模型的建模方法

将目标驱动思想引入AGR中,提出一种从AGR元模型到多Agent系统（MAs）组织抽象模型的建模方法。对AGR进行综述,给出该方法的具体步骤和形式化过程。应用于某智能故障诊断系统的结果表明,该建模方法有利于设计人员直接利用AGR元模型构建MAS组织抽象模型,可适用于各种AGR扩展。     

基于智能体的动态网络监测

网络规模的不断扩大及网络结构的复杂化,使得网络监测技术面临极大的挑战。通过对网络监测技术和智能体（IA）技术的研究,提出在跨平台语言Python的环境下,采用手动监测和自动监测2种方式的结合,实现基于IA的动态网络监测的方法。实验证明,该方法适用于不同的网络环境和网络拓扑结构,并能可靠地获取网络节点信息,有效地提高网络的可靠性。