基于智能Agent的农业智能决策系统研究

提出了一种基于知识的智能Agent逻辑模型,该模型以知识为核心,以推理作为主要规划手段。在此逻辑模型的基础上,提出了以本体为核心的Agent内部知识表示方法。并在任务及实体定义的基础上,结合产生式知识表示方法,构造了规划表示方法,形成了一个完整的智能Agent内部知识模型并基于黑板模型设计了智能Agent的实现结构以及其中的关键算法——规划过程。设计了基于智能Agent及黑板机制的农业智能决策系统的基本框架,并以农场作物生产决策系统证实了该模型能够满足大规模分布式农业决策系统的需求。     

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-Agent System，MAS)，是近年来飞速发展的技术，将多Ageat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。     

基于多Agent的远程协作故障诊断模型研究与设计

随着Agent技术的发展,出现了多种基于多Agent远程协作故障诊断模型,但它们不能很好地满足实时性要求较高系统的需求,因此本文以诊断Agent为基础,构建了基于多Agent的远程协作故障诊断模型,并对模型采用了层次划分,根据各层Agent的功能,采用合同网协议对Agent间任务进行分配协作,提高了系统故障诊断速度,从而为远程故障诊断的实现提供了支持。     

基于多Agent的远程协作故障诊断模型研究与设计

随着Agent技术的发展,出现了多种基于多Agent远程协作故障诊断模型,但它们不能很好地满足实时性要求较高系统的需求,因此本文以诊断Agent为基础,构建了基于多Agent的远程协作故障诊断模型,并对模型采用了层次划分,根据各层Agem的功能,采用合同网协议对Agent间任务进行分配协作,提高了系统故障诊断速度,从而为远程故障诊断的实现提供了支持.     

面向Agent生命周期法的系统软硬件工程一般方法论

针对大型工控系统产品的研制开发这类包括软件和硬件在内的复杂系统工程,本文将软件Agent概念推广到硬件领域,构造出软硬件Agent一般性模型,以此模型为基础,提出了一套面向Agent生命周期法的系统软硬件工程一般方法论。文中给出了该套方法论的基本原则和实施步骤,并通过一现场总线控制系统产品的开发实例说明了整套方法论的实施细则。     

虚拟制造资源选择的自组织演化模型及仿真

基于多Agent建模与仿真方法,认为虚拟制造资源选择的自组织演化过程是一个由一系列资源Agent与任务Agent的交互及这些Agent与环境交互共同组成的复杂适应系统过程;以从能够完成某一任务Agent的资源选择路线方案集合中选择一项适应度最大的满意方案为目的,构建了虚拟制造资源选择的自组织演化模型;用Swarm多主体平台对该模型进行了仿真,设计了各Agent间的信息交互机制,并通过内嵌进化遗传算法进行寻优搜索,得到了较为满意的结果。最后,用实例仿真验证了所提模型方法的可行性和有效性。研究结果可以对虚拟制造资源的快速有效选择和合理利用提供科学的决策依据。     

Agent的PASS-BDI模型

Agent的BDI模型主要基于Bratman提出的理性主体理论，未能充分体现Agent主动性的认知过程，使Agent的问题求解和心智状态之间的关系未得到充分表达，且难于编程实现。将Das等人提出的计划—注意—同时性加工—继时性加工认知过程模型引入Agent的理论研究中，建立了Agent的PASS-BDI模型，利用多价π-演算从心智状态，认知过程，整体行为等几个方面刻画了该模型的静态和动态特征，并将研究结果应用于多Agent组织中Agent行为特征的刻画。PASS-BDI模型加强了对Agent主动性认知过程的刻画，且易于编程实现。     

Agent的PASS—BDI模型

Agent的BDI模型主要基于Bratman提出的理性主体理论，未能充分体现Agent主动性的认知过程，使Agent的问题求解和心智状态之间的关系未得到充分表达，且难于编程实现。将Das等人提出的计划—注意—同时性加工—继时性加工认知过程模型引入Agent的理论研究中，建立了Agent的PASS—BDI模型，利用多价π—演算从心智状态，认知过程，整体行为等几个方面刻画了该模型的静态和动态特征，并将研究结果应用于多Agent组织中Agent行为特征的刻画。PASS—BDI模型加强了对Agent主动性认知过程的刻画，且易于编程实现。     

面向复杂机械产品开发的多Agent系统研究

根据面向复杂机械产品开发的分布式智能决策的设计要求,构建了一种基于多ALgent技术的复杂机械产品开发系统模型.该模型对系统知识进行了分类和有效表述,开发了多个Agent功能模块,通过黑板机制完成不同Agent之间的信息通讯和交互,通过工作流管理实现系统分布式协同工作.研究实例表明,该系统能够有效地分解复杂产品开发的工作流任务,降低复杂产品开发的复杂性和提高开发效率.     

基于MAS的船舶修理企业生产管理模型研究

针对当前船舶修理过程的特点和存在的问题,结合目前船舶修理企业的现状,提出了基于Multi Agent System(MAS)的船舶修理企业生产管理模型,建立了管理Agent (MA)、报价Agent(QA)、修理单Agent(OA)、生产Agent(PA)、检测Agent(IA)和安全Agent(SA),并论述了各Agent的功能.同时,基于MAS构建PA,PA包括资源Agent(RA),外包工人Agent(WA)和任务Agent(TA).各Agent之间信息共享和传递,实现数据流和业务流的集成.     

ExPlanTech: Applying multi-agent systems in production planning

This paper presents work carried out within the 'ExPlanTech' project (IST-1999-20171) funded in part by the European Commission's Information Technologies Programme. The mission of the ExPlanTech technology transfer project is to introduce, customize and exploit the multi-agent production planning technology (ProPlanT multi-agent system research prototype) in two specific industrial enterprises. An agent-driven service negotiations and decision process, based on usagecentred knowledge about task requirements, substitutes the traditional production planning activity. We introduce a methodology for integration of the projectdriven production planning based on agent-based engineering within the existing enterprise resource planning system. This novel production planning technology will facilitate optimization of resource utilization and supplier chain while meeting the customer demands. This paper describes a FIPA-compliant implementation of the ExPlanTech technology at the LIAZ Pattern Shop manufacturing company. We describe the structure of the agent community, types of agents, implementation of the planning strategy and its incorporation within the real production environment.     

Planning helicopter logistics in disaster relief

This paper describes an efficient planning system for coordinating helicopter operations in disaster relief. This system can be used as a simulation tool in contingency panning for better disaster preparedness and helps to generate plans with estimated data. The proposed system consists of a mathematical model and a Route Management Procedure (RMP) that post-processes the outputs of the model. The system is concerned with helicopter operations that involve last mile distribution and pickups for post-disaster medical care and injured evacuation. Delivering items such as medicine, vaccines, blood, i.v., etc. to affected locations, and evacuating injured persons from these locations comprise the transportation tasks to be performed by helicopters. The proposed modeling system accommodates the special aviation constraints of helicopters and it can handle large scale helicopter missions. The goal of the system is to minimize the total mission time required to complete the transportation task. The RMP enables the Decision Maker (DM) to specify either the mission completion time or the number of vehicles available for the mission. Respecting the limitations imposed by the DM, the RMP generates fuel and capacity feasible helicopter itineraries that complete within the specified mission completion time. A scenario that is based on the post-earthquake damage data provided by the Disaster Coordination Center of Istanbul is used for testing the method.     

均分点蚁群算法在群集机器人任务规划中的应用与研究

提出了一种求解群集机器人协作任务规划问题的均分点蚁群算法(EDPACA).通过多组蚂蚁群相互协作搜索,构架了一种新蚁群算法的解结构,并设计了更合理的评估函数,使其在评价时充分考虑均衡任务点探测,最后利用2-opt技术解决了各子周游路径的交叉问题,获得了总代价最优的解.该算法将蚁群技术首次应用于集群机器人的任务调度规划中,成功解决了中大规模任务规划问题.仿真实验结果表明,均分点蚁群算法能提高群集机器人执行任务的效率,同时也是解决多旅行商问题的另种新思路.     

Integrated maintenance and mission planning using remaining useful life information

The modern world requires high reliability and availability with minimum ownership cost for complex industrial systems (high-value assets). Maintenance and mission planning are two major interrelated tasks affecting availability and ownership cost. Both tasks play critical roles in cost savings and effective utilization of the assets, and cannot be performed without taking each other into consideration. Maintenance schedule may make an asset unavailable or too risky to use for a mission. Mission type and duration affect the health of the system, which affects the maintenance schedule. This article presents a mathematical formulation for integrated maintenance and mission planning for a fleet of high-value assets, using their current and forecast health information. An illustrative example for a fleet of unmanned aerial vehicles is demonstrated and evolutionary-based solutions are presented.     

A multi-agent-based intelligent STEP-NC controller for CNC machine tools

ISO 6983 has now been considered as a bottleneck for developing next generation CNC machine tools. STEP-NC is a new interface standard between CAD/CAM systems and CNC machines, which not only provides an object-oriented data model for CNC with a detailed and structured data interface that incorporates feature-based programming, but also represents a data model for intelligent computer numerical controllers. This paper presents a conceptual framework of holonic compliant data interference for numerical control STEP-NC controller to implement intelligent control for Computer Numerical Control (CNC) machine tools. The architecture is comprised of 14 functional agents, such as interpreter agent, process planning agent, NCK/PLC agent, decision-making agent, etc. These agents can co-operate closely to carry out various functions of the intelligent STEP-NC controller in a desired manner. The process flow for the STEP-NC controller is analysed. Furthermore, the implementation for two functional agents (i.e. interpreter agent and process planning agent) is described in detail. Finally, the preliminary development of a prototype system is discussed. As a result, the framework and implementation methods proposed provide a paradigm for future implementation of an intelligent STEP-NC controller.     

A distributed multi-agent environment for product design and manufacturing planning

This paper describes a multi-agent approach to the integration of product design, manufacturability analysis, and process planning in a distributed manner. The objective is to develop a distributed concurrent engineering system to allow geographically dispersed entities to work cooperatively towards overall system goals. In the paper, an agent-based concurrent engineering system concerning product design and manufacturing planning, and its fundamental framework and functions are presented. The proposed model considers constraints and requirements from the different product development cycles in the early development phases and fully supports the concept of design-for-manufacturability. This methodology uses conflict resolution (CR) techniques and design-improvement suggestions to refine the initial product design. The model comprises a facilitator agent, a console agent and six service agents. Each service agent is used to model different product development phases, and the console agent acts as an interacting interface between designers and the system, while the facilitator is responsible for the decomposition and dispatch of tasks, and resolving conflicts of poor designs. A prototype system for part design, manufacturability analysis, and process planning has been implemented. The performance of the prototype system shows that it could be extended to include other service agents, such as assemblability analysis, to become a comprehensive distributed concurrent engineering system for geographically dispersed customers and suppliers.     

基于MAS的敏捷供应链谈判模型

通过分析敏捷供应链的业务流程,建立了一个多Agent的敏捷供应链的谈判模型,并将敏捷供应链双边谈判中买卖双方表示成两个谈判Agent.任选其中买方谈判Agent的状态转换过程抽象为动作规划,并把它形式化为一个模糊自动机.在分析了Agent谈判的过程之后给出了谈判Agent的体系结构,并给出了该谈判模型的应用案例,为建立实用的Agent谈判系统奠定了理论依据.     

多移动机器人负载均衡任务规划算法

研究了多移动机器人探测多个目标位置的任务规划问题,提出了基于移动吸引子分组的任务规划算法.移动吸引子的数目等于机器人的数目,任务规划的目标是均衡各机器人的探测路径长度.该算法通过正交遗传算法确定移动吸引子的坐标,利用移动吸引子确定未探测任务的分组,将不同的任务组分配给不同的机器人.算法的计算时间复杂度低,适用于动态环境下多移动机器人系统的任务规划.对测试数据的实验证明了该规划算法能实现多个机器人的均衡规划,规划结果较四个代表性算法具有明显的优势.