TOWARDS AN ONTOLOGY-BASED MULTI-AGENT MEDICAL INFORMATION SYSTEM BASED ON THE WEB

This paper described an ontology based multi agent knowledge process made (MAKM) which is one of multi agents systems (MAS) and uses semantic network to describe agents to help to locate relative agents distributed in the workgroup. In MAKM, an agent is the entity to implement the distributed task processing and to access the information or knowledge. Knowledge query manipulation language (KQML) is adapted to realize the communication among agents. So using the MAKM mode, different knowledge and information on the medical domain could be organized and utilized efficiently when a collaborative task is implemented on the web.

Semantic-based dynamic positioning mechanism for problem solving in multi-agent systems

In multi-agent systems(MAS),finding agents which are able to service properly in an open and dynamic environment are the key issue in problem solving.However,it is difficult to find agent resources quickly and position agents accurately and complete the system integration by the keyword matching method,due to the lack of clear semantic information of the classical agent model.An semantic-based agent dynamic positioning mechanism was proposed to assist in the system dynamic integration.According to the semantic agent model and the description method,a two-stage process including the domain positioning stage and the service semantic matching positioning stage,was discussed.With this mechanism,proper agents that provide appropriate service to assign sub-tasks for task completion can be found quickly and accurately.Finally,the effectiveness of the positioning mechanism was validated through the in-depth performance analysis in the application of simulation experiments to the system dynamic integration.

Multi-agent Based Hierarchy Simulation Models of Carrier-based Aircraft Catapult Launch

With the aid of multi-agent based modeling approach to complex systems, the hierarchy simulation models of carrier-based aircraft catapult launch are developed. Ocean, carrier, aircraft, and atmosphere are treated as aggregation agents, the detailed components like catapult, landing gears, and disturbances are considered as meta-agents, which belong to their aggregation agent. Thus, the model with two layers is formed i.e. the aggregation agent layer and the meta-agent layer. The information communication among all agents is described. The meta-agents within one aggregation agent communicate with each other directly by information sharing, but the meta-agents, which belong to different aggregation agents exchange their information through the aggregation layer first, and then perceive it from the sharing environment, that is the aggregation agent. Thus, not only the hierarchy model is built, but also the environment perceived by each agent is specified. Meanwhile, the problem of balancing the independency of agent and the resource consumption brought by real-time communication within multi-agent system （MAS） is resolved. Each agent involved in carrier-based aircraft catapult launch is depicted, with considering the interaction within disturbed atmospheric environment and multiple motion bodies including carrier, aircraft, and landing gears. The models of reactive agents among them are derived based on tensors, and the perceived messages and inner frameworks of each agent are characterized. Finally, some results of a simulation instance are given. The simulation and modeling of dynamic system based on multi-agent system is of benefit to express physical concepts and logical hierarchy clearly and precisely. The system model can easily draw in kinds of other agents to achieve a precise simulation of more complex system. This modeling technique makes the complex integral dynamic equations of multibodies decompose into parallel operations of single agent, and it is convenient to expand, maintain, and reuse the program codes.

基于Multi-Agent技术的大型机电设备故障诊断系统

通过对大型机电设备的故障特点的分析,以及对M u lti-A gen t系统架构的描述,提出了一种基于M u lti-A gen t技术的大型机电设备故障诊断结构模型.此M A S系统结构采用了层次模型设计,符合故障诊断的推理方法.文章着重阐述了各类A gen t的功能以及它们之间的协作方式.该模型分为监测层、数据处理层和管理层等三个层次,其中监测层用于数据采集和简单故障诊断,数据处理层用于复杂故障诊断和人机交互,管理层用于管理整个M A S系统和协调各A gen t的合作关系.各A gen t之间通信以KQM L语言为基础,并扩展了一组专用的动作表达式以满足故障诊断的需要;文章还描述了复杂故障诊断任务中各A gen t之间的协作方式.

从现实世界到MAS世界——基于MAS理论的复杂系统建模思想探讨

首先对Agent及MAS的本质特性进行分析,指出Agent在本质上是具有一定理性的意识系统,MAS则是一种基于涌现的分布式问题求解模式。其次,重点讨论了MAS与复杂系统的关系,指出MAS与其在本质上的相关性。最后,通过揭示MAS建模思想所反映出的世界观,将MAS建模的意义扩展到自然系统、社会系统、生态系统等广泛的现实世界,从而得出,在对各类复杂系统进行分析的过程中,从现实世界映射到MAS世界是直观、合理、可行的。

一种适用的Multi-Agent System协同框架及其应用

概述了一种MAS协同框架 :通用的部分—全局规划(GPGP)和任务描述语言TAEMS。GPGP是一种不依赖于问题域的通用的MAS协同框架 ;它提供一个协同机制库 ,在不同的任务环境和协同要求下 ,应用不同机制集 ,从而动态地、柔性地描述任务环境 ,为GPGP应用提供根据与基础。本文在一个分布式的制造执行系统MM -MES中应用了合同网协议、TAEMS和GPGP ,研究分布式的车间调度和协同。

Multi-Agent层次协作模型及其在RoboCup中的应用

以RoboCup仿真机器人足球比赛中的多个智能体为研究对象,对Multi-Agent协作问题进行了研究。为了使Multi-Agent能够协同工作来完成复杂的任务,同时使Agent具有较高的智能性和反应性,提出了Multi-Agent层次协作模型。实验结果验证了以上研究的有效性。

基于Multi-agent的城市交通事故救援系统

将GIS理论和MAS理论相结合,提出了基于MAS的城市交通事故救援系统的框架;论述了该系统每一个Agent组成员的主要功能和系统实现的关键技术;该系统能够迅速得到事故信息,快速实施救援方案,提高磁悬浮交通事故救援效率,从而减少人员伤亡和财产损失。

基于角色和协作场景的MAS管理模型及应用

MAS协作管理是实现Multi-Agent协同工作的关键理论与技术。本文通过引入基于角色的策略和Agent协作场景ACS,提出了一种面向MAS的多Agent协作管理参考模型MACM2(Multi-Agent Collaboration Management Model),并给出它在基于智能体的网络文本信息检索系统中的具体应用。该模型在实际系统中解决了协作管理的复杂性问题,提高了Agent的协作能力,同时也降低了系统开销。

基于MAS的故障诊断模型与实现研究

起源于分布式人工智能的多Agent系统 (Multi_AgentSystem ,MAS) ,是近年来飞速发展的技术 ,将多Agent技术引入复杂故障诊断领域 ,是求解复杂过程的故障诊断问题的一种新的尝试。讨论了基于MAS的分布式智能诊断方法和过程 ,设计了一种Agent诊断系统结构及其原型系统 ,对诊断问题任务辨识、分解、各Agent的内部诊断机制、多Agent间的交互、协作、关联模型以及诊断决策问题等进行了深入研究。在某企业安全监控系统的应用中 ,该模型能快速、准确地进行故障成因分析 ,并给出合理的、建设性的决策意见。

污水处理智能化系统的Multi-Agent通信技术与实现

Agent通信是Multi-Agent系统能否高效运行的关键技术之一。FIPA-ACL是最新的Agent通信语言。为实现基于Multi-Agent的污水处理智能化系统中各Agent间的交互、协商与合作,解决污水处理这一复杂工业过程的控制问题,通过分析FIPA-ACL规范集合的系统组成、通信机制等,提出了一种基于FIPA-ACL的污水处理智能化系统的Multi-Agent通信技术,确定了其通信方式、通信策略与通信协议,并给出了具本实现方法。

基于MAS的物流治安管理信息系统

以物流治安管理信息系统为应用背景,引入Agent技术。利用Agent的智能性、自主性、社会性、反应性和预动性,完成用户交互、任务执行、结果返回,构建了基于MAS的物流治安管理信息系统,从而满足对物流企业治安管理的需求。

基于Multi-Agent技术的动态联盟组织模型建模分析工具研究

结合企业信息化的需求和Multi-Agent技术的应用,采用一种基于基本组织单元构成的多态企业组织结构的观点,设计了一套可实现分布式协同建模的组织视图建模工具,并结合这种结构框架开发了具体系统。同时也给出了实例验证。该建模工具可用于动态联盟企业组织模型的建立和维护。

基于Multi-Agent的敏捷供应链模型研究

将Multi-Agent系统引入到敏捷供应链的管理中,充分利用了Agent智能性和自主性,使得它与一般研究供应链问题不同,通过Agent之间的协调达到全局最优,更符合追求自身最大利益。文中只要通过分析两类基本的敏捷供应链模式,并引入ARCHON的Agent的设计思路,提出"供应链路由"设计理念,为特定供应链实际调整更适合的供应链模型。

Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown motion.Its main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic noise.In traditional ways,the coupling weights depending on the communication structure are static.A new distributed controller is designed based on Riccati inequalities,while updating the coupling weights associated with the gain matrix by state errors between adjacent agents.By introducing time-varying coupling weights into this novel control law,the state errors between leader and followers asymptotically converge to the minimum value utilizing the local interaction.Through the Lyapunov directed method and It?formula,the stability of the closed-loop system with the proposed control law is analyzed.Two simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.

基于MAS的分队作战能力评估

针对传统的分析方法无法处理作战能力的问题,提出一种基于Agent的建模仿真方法。采用离散位置的二维栅格表示作战战场,根据参数设置使不同的作战实体具有不同的行为能力和使命,通过任务完成的结果评估其作战能力,建立了基于态势的武器作战能力模型,并进行仿真实验对该模型进行评估。仿真结果证明:某型武器分队可以很好地完成射击任务,平均毁伤目标为13.6,自身的生存能力也显著提高,随机交战系统中被毁伤由8.16降低到6.33。

Finite-time consensus of multi-agent systems driven by hyperbolic partial differential equations via boundary control

The leaderless and leader-following finite-time consensus problems for multiagent systems(MASs)described by first-order linear hyperbolic partial differential equations(PDEs)are studied.The Lyapunov theorem and the unique solvability result for the first-order linear hyperbolic PDE are used to obtain some sufficient conditions for ensuring the finite-time consensus of the leaderless and leader-following MASs driven by first-order linear hyperbolic PDEs.Finally,two numerical examples are provided to verify the effectiveness of the proposed methods.

Distributed fault diagnosis observer for multi-agent system against actuator and sensor faults

Component failures can cause multi-agent system(MAS)performance degradation and even disasters,which provokes the demand of the fault diagnosis method.A distributed sliding mode observer-based fault diagnosis method for MAS is developed in presence of actuator and sensor faults.Firstly,the actuator and sensor faults are extended to the system state,and the system is transformed into a descriptor system form.Then,a sliding mode-based distributed unknown input observer is proposed to estimate the extended state.Furthermore,adaptive laws are introduced to adjust the observer parameters.Finally,the effectiveness of the proposed method is demonstrated with numerical simulations.

Investigation of MAS structure and intelligent^(+) information processing mechanism of hypersonic target detection and recognition system

The hypersonic target detection and recognition system is studied,on the basis of overall planning and design,a multi-agent system(MAS)structure and intelligent+information processing mechanism based on target detection and recognition are proposed,and the multi-agent operation process is analyzed and designed in detail.In the specific agents construction,the information fusion technology is introduced to defining the embedded agents and their interrelations in the system structure,and the intelligent processing ability of complex and uncertain problems is emphatically analyzed from the aspects of autonomy and collaboration.The aim is to optimize the information processing strategy of the hypersonic target detection and recognition system and improve the robustness and rapidity of the system.

Algorithm to Form Coalition in Multi-Agent Cooperation

In multi-agent systems, autonomous agents may form coalition to increase the efficiency of problem solving. But the current coalition algorithm is very complex, and cannot satisfy the condition of optimality and stableness simultaneously. To solve the problem, an algorithm that uses the mechanism of distribution according to work for coalition formation is presented, which can achieve global optimal and stable solution in subadditive task oriented domains. The validity of the algorithm is demonstrated by both experiments and theory.