Scalable fault tolerant agent grooming environment-SAGE

Multi-agent systems (MAS) advocate an agent-based approach to software engineering based on decomposing problems in terms of decentralized, autonomous agents that can engage in flexible, high-level interactions. This chapter introduces scalable fault tolerant agent grooming environment (SAGE), a second-generation Foundation for Intelligent Physical Agents (FIPA)-compliant multi-agent system developed at NIIT-Comtec, which provides an environment for creating distributed, intelligent, and autonomous entities that are encapsulated as agents. The chapter focuses on the highlight of SAGE, which is its decentralized fault-tolerant architecture that can be used to develop applications in a number of areas such as e-health, e-government, and e-science. In addition, SAGE architecture provides tools for runtime agent management, directory facilitation, monitoring, and editing messages exchange between agents. SAGE also provides a built-in mechanism to program agent behavior and their capabilities with the help of its autonomous agent architecture, which is the other major highlight of this chapter. The authors believe that the market for agent-based applications is growing rapidly, and SAGE can play a crucial role for future intelligent applications development. © 2007, IGI Global.

一种基于Agent的自适应的分布式入侵检测系统

针对传统分布式入侵检测系统组件之间依赖程度大、系统不够健壮且入侵检测系统自身结构固定不能适应入侵的变化的问题,提出了一种基于Agent的自适应的分布式入侵检测系统(简称AAA-DIDS)·AAADIDS采用Agent概念重新构造系统的组件,改进了分布式入侵检测系统由于高层节点单一无冗余而产生的可靠性差的缺陷,从构造上克服了分布式入侵检测系统的脆弱性·同时,AAADIDS系统采用智能技术构建了自适应的入侵检测系统模型,增加了系统应对入侵行为变化的智能性·AAA-DIDS系统相对于传统的分布式入侵检测系统有效地提高了系统自身的可靠性和针对外界变化的适应能力·

一种基于Agent的自适应软件过程模型

传统的软件过程模型大多是静态的、机械的、被动的,它们要求软件工程人员在描述软件过程时预期所有可能发生的情况,并且显式地定义这些问题的解决方案.当软件过程所处的环境发生变化时,软件过程无法自适应地对这些变更作出相应的调整.提出了一种基于Agent的自适应软件过程模型.在这种软件过程模型中,软件过程被描述为一组相互独立而对等的实体——软件过程Agent.这些软件过程Agent能够对软件过程环境的变化主动地、自治地作出反应,动态地确定和变更其行为以实现软件开发的目标.

基于Agent的智能交通体系及仿真

交通问题已成为全世界所共同关注的主要问题 ,如何运用现代的科技手段来缓解日益严峻的交通压力 ,是目前研究的重点。该文基于目前交通问题及交通系统发展的现状 ,结合计算机软件技术的最新成果———Agent技术 ,提出了基于Agent技术的智能交通控制的体系结构 ,论述了该结构的优点 ;并根据Agent的特点 ,介绍了运用Agent技术进行交通仿真的优势 ,探讨了具体采用Agent技术进行交通仿真的方法。

一种基于移动Agent的复合Web服务容错模型

现有的Web服务容错侧重于通过扩展Web服务标准来提供容错能力.由于Web服务标准体系本身不断发展变化,并且标准之间的兼容性问题依然存在,使得这些研究成果的可实施性较弱.文章提出一种基于移动Agent的复合Web服务容错模型--MAFTM模型,从系统层次而非标准层次来解决复合Web服务的容错问题.首先说明基于移动Agent的工作流与复合Web服务的关系.在此基础上,给出MAFTM模型,包括故障类型、复制机制、"exactly once"语义和一致性算法,并证明MAFTM模型的正确性.

基于Rete算法的多Agent的实时协同推理

1 引言多Agent系统是由若干具有一个或多个目标的Agent按照一定的信息关系和控制关系以及问题求解能力的分布模式组成的系统,它主要研究一组在逻辑上或物理上分离的Agent之间行为的协调。目前,多Agent系统已应用于诸如空中交通控制、电子商务、通讯网络管理和作业调度等生产实际领域。Agent技术应用到实际领域时映射的对象一般有

基于Agent的分布式多机器人系统建模及分析

进行一个多装配机器人系统 DAMAS的模型研究 ,介绍离散事件动态系统的重要建模工具 Petri网 ,提出解决模型复杂性的有效方法 ,建立了系统中各个 Agent及整个系统的 Petri网模型 ,对这些模型及相互间的交互模型进行了重要的活性和有界性分析 ,对多机器人系统的协作机制进行了验证分析。

基于Agent的机器人新型控制器模型研究

进行了基于Agent的机器人新型控制器模型研究 ,在指出传统机器人控制器的缺陷基础上首先介绍了机器人控制器适应先进制造要求的发展方向 ,在此基础上详细介绍了提出的基于Agent的机器人新型控制器模型 ,对于开发未来的开放化机器人控制器具有重要的指导意义。

网络环境下基于Agent的多机器人协调与路径规划

本文针对基于Ａｇｅｎｔ的分布协作式多机器人装配系统——ＤＡＭＡＳ的特点，在原有工作的基础上，提出了网络环境下基于Ａｇｅｎｔ的路径规划思想，重新定义Ａｇｅｎｔ各功能模块的内容，建立系统中的通讯机制．同时，介绍了系统进行路径规划的工作过程，给出了路径规划器的规划算法

基于Multi-Agent的生产过程建模与仿真技术研究

某些流程行业由于采用按配方进行分组加工的模式组织生产,在排产时存在多条路径调度优化的问题,应用一般的优化算法对于现场在线调度难以给出满意结果,而基于Agent的过程仿真在解决离散、非线性系统模拟方面有显著的优势,本文采用Agent的方法对生产过程建模,然后对方案组内的备选方案进行仿真,通过对比各方案的仿真结果找到最优的方案作为执行方案,为现场的优化排产提供决策支持。

The Multiscale Systems Immunology project: software for cell-based immunological simulation.

BACKGROUND: Computer simulations are of increasing importance in modeling biological phenomena. Their purpose is to predict behavior and guide future experiments. The aim of this project is to model the early immune response to vaccination by an agent based immune response simulation that incorporates realistic biophysics and intracellular dynamics, and which is sufficiently flexible to accurately model the multi-scale nature and complexity of the immune system, while maintaining the high performance critical to scientific computing. RESULTS: The Multiscale Systems Immunology (MSI) simulation framework is an object-oriented, modular simulation framework written in C++ and Python. The software implements a modular design that allows for flexible configuration of components and initialization of parameters, thus allowing simulations to be run that model processes occurring over different temporal and spatial scales. CONCLUSION: MSI addresses the need for a flexible and high-performing agent based model of the immune system.

Computational modelling-a key component in materials processing

Computational analysis software is now widely accepted as a key industrial tool for plant design and process analysis. This is due in part to increased accuracy in the models, larger and faster computer systems and better graphical interfaces that allow easy use of the technology by engineers. The use of computational modelling to test new ideas and analyse current processes helps to take the guesswork out of industrial process design and offers attractive cost savings. An overview of computer-based modelling techniques as applied to the materials processing industry is presented and examples of their application are provided in the contexts of the mixing and refining of lead bullion and the manufacture of lead ingots.

Epipolar geometry estimation based on evolutionary agents

This paper presents a novel approach based on the use of evolutionary agents for epipolar geometry estimation. In contrast to conventional nonlinear optimization methods, the proposed technique employs each agent to denote a minimal subset to compute the fundamental matrix, and considers the data set of correspondences as a 1D cellular environment, in which the agents inhabit and evolve. The agents execute some evolutionary behavior, and evolve autonomously in a vast solution space to reach the optimal (or near optima) result. Then three different techniques are proposed in order to improve the searching ability and computational efficiency of the original agents. Subset template enables agents to collaborate more efficiently with each other, and inherit accurate information from the whole agent set. Competitive evolutionary agent (CEA) and finite multiple evolutionary agent (FMEA) apply a better evolutionary strategy or decision rule, and focus on different aspects of the evolutionary process. Experimental results with both synthetic data and real images show that the proposed agent-based approaches perform better than other typical methods in terms of accuracy and speed, and are more robust to noise and outliers.

Nonlinear numerical modelling of lightning strike effect on composite panels with temperature dependent material properties

This paper presents a physics based modelling procedure to predict the thermal damage of composite material when struck by lightning. The procedure uses the Finite Element Method with non-linear material models to represent the extreme thermal material behaviour of the composite material (carbon/epoxy) and an embedded copper mesh protection system. Simulation predictions are compared against published experimental data, illustrating the potential accuracy and computational cost of virtual lightning strike tests and the requirement for temperature dependent material modelling. The modelling procedure is then used to examine and explain a number of practical solutions to minimize thermal material damage. © 2013 Elsevier Ltd.