An adaptive algorithm based on the immune system and its application to adaptive noise neutralization

We propose an adaptive algorithm based on some features of the immune system (a selection-based mechanism compatible with Edelman’s selectionist principle, self/nonself reference, and negative/positive selection). The algorithm proceeds in three steps: diversity generation, establishment of self-tolerance, and memorizing nonself. This algorithm may typically be used to model the system of distributed agents where the system (the self) as well as the environment (the nonself) are unknown or cannot be modeled. An agent-based architecture based on the local memory hypothesis and a network-based architecture based on the network hypothesis are discussed. The agent-based architecture is elaborated with applications to an adaptive system where knowledge about the environment is not available. An adaptive noise neutralizer is formalized and simulated for a simple plant. Some part of this work has been presented at ICEC 1996, IROS 1996, and AROB 1999.     

Architecture layers and engineering approach for agent-based system

It is necessary to support user-centric service provision paradigm in distributed, dynamic and complex computing environment. Software agent technology is considered as one of the technologies suitable to adopt such computing environment. Many researchers have emphasized on agent-based system development, but, many agent-based systems are designed and constructed in ad hoc. In particular, they do not enough consider system organization and performance aspects. More systematic engineering approach of agent-based system is required. We propose the layered architecture and engineering approach for agent-based system design. We devise the layers necessary to design agent-based system, and methods to engineer each layer. Also we show that the devised approach can be used to design agent-based system and analyze system features. The layered architecture and engineering approach of agent-based system proposed in this paper support that engineer designs efficient agent-based system.     

ANOMALY DETECTION IN DISTRIBUTED COMPUTER COMMUNICATION SYSTEMS

Anomaly detection is a basic functionality of intrusion detection systems. The aim of such systems in distributed computer communication systems is to recognize and notify about various events that influence a system's security. In a gain to assure efficiency, flexibility, and a quality of detection of systems security violation in a distributed environment, required detection systems should be responsive, adaptive, proactive, and less centralized than those currently deployed. Such required properties are offered by agents and multiagent systems, i.e., agent-based technology has the continuously increasing potential to offer a solution to the growing problem of designing intelligent, efficient, and flexible management systems. An agent-based approach offers the potential to develop advanced and effective distributed, network-based strategies replacing traditional node-based approaches by more perspective network-based approaches.

This article is devoted to present various architectures of anomaly detection systems, which may be implemented as multiagent systems supporting the classification of observed activities as normal or abnormal. Some simple example presents hierarchical architecture of a distributed anomaly detection system, which may be implemented in the form of a multiagent decision supporting system.     

EISEval,a generic reconfigurable environment for evaluating agent-based interactive systems

The evaluation of interactive systems has been an active subject of research for many years. Many methods have been proposed, but most of them do not take the architectural specificities of an agent-based interactive system into account, nor do they focus on the link between architecture and evaluation. In this paper, we present an agent-based architecture model for interactive systems. Then, based on this architecture, we propose a generic, reconfigurable evaluation environment, called EISEval, designed and developed to help evaluators analyze and evaluate certain aspects of interactive systems in general and of agent-based architecture interactive systems in particular: User Interface (UI), non-functional properties (e.g., response time, complexity) and user characteristics (e.g., abilities, preferences, progress). System designers can draw useful conclusions from the evaluation results to improve the system. This environment was applied to evaluate an agent-based interactive system used to supervise an urban transport network in a study organized in laboratory.     

基于Agent技术的复杂适应系统分析与建模

该文简单介绍了霍兰教授提出的复杂适应系统（CAS）理论,概述了agent和多agent系统（MAS）的概念及其特点,重点介绍了基于agent技术的复杂适应系统的分析方法及建模方法,对其特点及相对于传统方法的优势作了比较.对于由多个Agent组成的复杂适应系统,基于Agent技术是一种十分有效的分析工具,它不但能够对复杂适应系统的体系结构进行适当的描述,而且为复杂适应系统演化过程的建模提供了有力的工具.基于Agent技术的分析与建模是探讨复杂适应系统演化的新动向.     

基于Agent的入侵检测系统层次结构模型

该文在分析自适应的分布式入侵检测系统功能需求的基础上,提出了基于Agent的入侵检测系统层次结构模型,该模型具有较严密的安全防范措施和较高的系统鲁棒性、可靠性,适用于复杂网络环境。     

在网格环境中基于移动代理的资源监视

对于高性能的分布式计算系统，尤其是网格，监视各种计算资源是一件至关重要的事情。在网格中，实体巨大的差异性，庞大的数量，行为的动态性以及地理上的分布状态，使得发现和监视各种资源及服务成为一项挑战。该文提出了一种基于移动代理的网格监视体系，解释了该技术特别适合于网格的原因，介绍了这种体系结构所需组件及其功能，以及实际的运行模式。     

基于Agent的数据仓库的研究

结合可移动的软件Agent技术,提出了基于Agent的数据仓库。它的提出使得用户可以更加有效地管理分布的、异构的集成环境。着重讨论了基于Agent的数据仓库的体系结构,并在此基础上讨论了一些实现中的问题。     

Agent-based management of support systems for distributed brainstorming

In this paper, we describe the design and the management of an agent-based system that supports distributed brainstorming activities. The support system is a highly coordinated IoT application composed of many locally installed interface devices, multimedia communication functions, and cloud functions that process application logic and store meeting data. The system is designed to support a variety of brainstorming sessions, so its functionalities must be modifiable and enable the system to be adapted to different environments and user requirements without any loss of performance. System accessibility should be also ensured from any location for any user. These constraints require a flexible and usable support system.We further discuss the aspects of flexibility and usability that are important in a support system for distributed brainstorming, from which we propose a conceptual schema for flexible and usable support systems. To realize this schema, we present a resource-oriented architecture that can modify the brainstorming support system’s structure and functions. Flexibility is achieved thanks to an agent-based system that manages resources and operates on them according to users’ requests.We also describe the system architecture, which is organized around a set of channels dedicated to different services proposed to the users. We present in detail a video channel that ensures user awareness during synchronized activities. We then conduct several experiments verifying the usability of important channels in the architecture and present the results of these experiments.Finally, we discuss experimental scenarios that show how the system owes its adaptability to management based on an agent organization that supports distributed brainstorming and other activities.     

基于Agent网格计算性能的实时调节

由于网格环境中资源的动态性、非独占性、异构性、分布性和网络通信延迟的不确定性等因素导致了应用程序的复杂和低效,难以达到预期的性能。为了实时调整和改进并行和分布式应用的性能,该文研究采用Agent技术设计一种系统模型,利用Agent收集应用各种性能参数,然后利用Agent的智能性,加以分析综合并实时调整,使应用程序更加适应网格的动态环境,获得更高的性能。     

基于Agent的Peer-to-Peer式分布式构件库系统

为解决构件库中存在的种种问题,在分析了软件复用现状和构件库的特点的基础上,提出了一种基于Agent的P2P式的分布式构件库系统,阐述了系统的体系结构并在理论基础上开发出了原型系统。该系统能够达到软构件复用的目的,验证了方法的可行性。     

Agent co-ordination aided distributed computational engineering design

Co-ordination is a key research area in engineering design and distributed artificial intelligence, as well as a number of other disciplines. This paper highlights the need for co-ordination within distributed computational design environments. The key characteristics of co-ordination identified are coherence, communication, task management, resource management, schedule management, and real-time support. These key characteristics are integrated within a methodology, which is realised in a multi-agent system aimed at co-ordinating distributed computational design. Co-ordination in real-time is responsive and adaptive to changes in the distributed environment, such that the computational design analysis can be performed in an efficient manner. The agent-based co-ordination system has been applied to two case studies. Firstly, to a theoretical research-based case study related to an aspect of structural analysis involved in conceptual aircraft wing design. Secondly, the system is applied to a practical industrial-based case study involving turbine blade design. In both case studies the multi-agent system enables the respective computational design analysis to be conducted in a coherent and organised fashion making more efficient use of time and resources.     

Agent co-ordination aided distributed computational engineering design

Co-ordination is a key research area in engineering design and distributed artificial intelligence, as well as a number of other disciplines. This paper highlights the need for co-ordination within distributed computational design environments. The key characteristics of co-ordination identified are coherence, communication, task management, resource management, schedule management, and real-time support. These key characteristics are integrated within a methodology, which is realised in a multi-agent system aimed at co-ordinating distributed computational design. Co-ordination in real-time is responsive and adaptive to changes in the distributed environment, such that the computational design analysis can be performed in an efficient manner. The agent-based co-ordination system has been applied to two case studies. Firstly, to a theoretical research-based case study related to an aspect of structural analysis involved in conceptual aircraft wing design. Secondly, the system is applied to a practical industrial-based case study involving turbine blade design. In both case studies the multi-agent system enables the respective computational design analysis to be conducted in a coherent and organised fashion making more efficient use of time and resources.     

Agent-based framework for integrated facility engineering

An agent-based framework for the development of integrated facility engineering environments in support of collaborative design is introduced. This framework aims at integrating design software by allowing better software interoperability. Within their framework, design agents represent various existing design and planning systems that communicate their design information and knowledge partially and incrementally using the Agent Communication Language (ACL). ACL is a formal language proposed as a communication standard for disparate software. It is based on a logic-based language called Knowledge Interchange Format (KIF) and a message protocol called Knowledge Query Manipulation Language (KQML). Design agents are linked and their communication of design information is coordinated via system programs called facilitators in a federation architecture. The federation architecture specifies the way design agents and facilitators communicate in an integrated software environment. In concert with pursuing fundamental research concepts, we have been developing an integrated design software environment that spans different phases of the facility life cycle. This environment serves to demonstrate the primary aspects of this research methodology. In this paper, we first discuss the integration problem and review related research projects. We then present the major aspects of agent-based software engineering methodology and its application to integrated facility engineering. A highlight of the current integrated design environment development is given to illustrate the advantages of this approach. Finally, we summarize and discuss some of the important research issues in light of previous research.     

mStar: enabling collaborative applications on the Internet

Distributed, real-time multimedia applications on the Internet permit users to cooperate in new and more interesting ways for collaborative teamwork and net-based learning. The mStar environment features an agent-based architecture, implemented in Java, which preserves compatibility with the dominant Mbone paradigm for IP multicast. The shared software environment provides an integrated solution for generating, presenting, scoring, and editing media in collaborative applications. In particular, mStar supports developers in creating distributed, real-time multimedia software applications such as e-meetings. mStar enhances both distance education and collaborative teamwork by presenting a uniform user interface for real-time audio and video, shared whiteboard, char, voting, and distributed Web-based presentations. The system also supports on-demand recording and session playback     

基于代理的航天任务仿真资源库系统

该文以航天任务综合仿真系统为背景,设计实现了一个基于代理的仿真资源库系统,系统的建立能够为各种航天任务仿真资源提供高效的存储和管理,从而为航天任务分析与仿真应用提供所需的资源.该系统实现了资源库和仿真系统中主要仿真软件STK的较为全面的集成,并具有良好的扩展性和重用性.论文首先给出资源库系统的组织结构,然后具体阐述仿真资源的存储管理和通用操作环境的设计实现,重点讨论了模型的存储管理以及代理的设计.最后给出一个资源库系统的仿真应用实例说明资源库的工作流程.     

支持动态联盟的分布式工作流管理系统--AgentFlow

提出了一个支持动态联盟的工作流描述模型，在此基础上提出了一个基于Agent的分布式的软件体系结构，重点分析了基于多Agent的工作流管理系统中工作流的动态集成和工作流的执行。最后讨论了工作流的分布式协作监控。     

A Direct Execution Approach to Simulating Mobile Agent Algorithms

Mobile agent technology has been applied to develop the solutions for various kinds of parallel and distributed computing problems. However, performance evaluation of mobile agent algorithms remains a difficult task, mainly due to the characteristics of mobile agents such as distributed and asynchronous execution, autonomy and mobility. This paper proposes a general approach based on direct execution simulation for evaluating the performance of mobile agent algorithms by collecting and analyzing the information about the agents during their execution. We describe the proposed generic simulation model, named MADES, the architecture of a software environment based on MADES, and a prototype implementation. A mobile agent-based distributed load balancing algorithm has been used for experiments with the prototype.     

基于Agent的Web Services自适应工作流模型的研究

如何让企业可以灵敏反应外部环境的变动并快速改变企业内部的流程作业,是传统工作流管理系统面临的最大挑战.提出一种基于Agent的Web Services工作流模型(AW-WFM)来解决这个难题.在这个模型中,基于Agent的技术实现一种工作流协作机制,而Web Services技术为工作流管理系统提供了计算资源.最后,介绍了AW-WFM在上海大学协同办公系统中的应用.     

An adaptable distributed query processing architecture

Traditionally, distributed query optimization techniques generate static query plans at compile time. However, the optimality of these plans depends on many parameters (such as the selectivities of operations, the transmission speeds and workloads of servers) that are not only difficult to estimate but are also often unpredictable and fluctuant at runtime. As the query processor cannot dynamically adjust the plans at runtime, the system performance is often less than satisfactory. In this paper, we introduce a new highly adaptive distributed query processing architecture. Our architecture can quickly detect fluctuations in selectivities of operations, as well as transmission speeds and workloads of servers, and accordingly change the operation order of a distributed query plan during execution. We have implemented a prototype based on the Telegraph system [Telegragraph project. Available from >]. Our experimental study shows that our mechanism can adapt itself to the changes in the environment and hence approach to an optimal plan during execution.