基于多智能体技术的智能CAD系统设计集成化研究

针对ＣＡＤ设计过程集成中存在的技术难题,将多智能体技术应用于智能ＣＡＤ系统的集成化设计环境中,实现多个机械设计专家系统协调的有机集成,提出了采用多智能体理论论建立分布式协调设计体系来研究解决这一例题的新思路,建立一个实际的基于多智能体的智能集成设计系统,并建立了基于一主软件平台验证所提出理论和方法的正确笥和可行性。     

支持智能体的通讯原语库系统GKD－APS的设计与实现

ＧＫＤ－ＡＰＳ是我们基于面向智能体程序设计范例，设计并实现的一个支持智能体相关概念及智能体间消息通讯的Ｐｒｏｌｏｇ解释器。它同时引入了智能体、精神状态、知识、信念、承诺、能力及智能体间的消息通讯等概念，并提供了对这些概念的直接支持。ＣＫＤ－ＡＰＳ为实现多智能体间的知识通讯和合作运行，构造多智能体系统提供了基础，有效地支持了分布式知识系统的研究和开发。本文首先介绍了当前国际上关于智能体及面向智能体范例的研究进展，其次描述了ＧＫＤ－ＡＰＳ所涉及的基本概念及所实现的通讯原语的操作语义，然后给出了系统的构成及主要实现技术，最后介绍了ＧＫＤ－ＡＰＳ所提供的智能体操作原语。     

面向篇章理解的多智能体系统MAS／TH－3

面向篇章理解的多智能体系统ＭＡＳ／ＴＨ－３石纯一，王克宏，胡蓬，康小强（清华大学计算机科学与技术系北京１０００８４）ＭＡＳ／ＴＨ－３：ＡＭＵＬＴＩ－ＡＧＥＮＴＳＹＳＴＥＭＦＯＲＴＥＸＴＵＮＤＥＲＳＴＡＮＤＩＮＧ￥ＳｈｉＣｈｕｎｙｉ；ＷａｎｇＫｅｈｏｎ...     

技术文摘

技术文摘实现并行ＣＡＤ／ＣＡＰＰ／ＣＡＩＰ集成的智能客户／服务器模型西安交通大学江宇平本文从组织结构、系统控制调度模式、基于ＳＴＥＰ的产品模型与应用协议、系统网络功能需求等角度论述了一利用于实现ＣＡＤ／ＣＡＰＰ／ＣＡＩＰ并行设计的智能客户／朋务器模型...     

智能关系型机械CAD系统──SIGRAPH─DESIGN

智能关系型机械ＣＡＤ系统──ＳＩＧＲＡＰＨ─ＤＥＳＩＧＮ中国机械工业电脑应用技术开发公司张岗一、智能关系型系统与智能产品模型ＣＡＤ技术在机械行业的应用正获得越来越广泛的重视，但由于技术发展和一些历史客观原因，目前被用户普遍使用的系统大多数是传统型图形...     

面向智能体逻辑程序设计系统GKD—AOLPS

我们在面向对象逻辑程序设计系统ＧＫＤ－ＯＯＰＳ的基础上，研究并实现了面向智能体逻辑程序设计系统ＧＫＤ－ＡＯＬＰＳ。本文首先提出了智能体的结构和机制，然后给出了一种智能体的元级结构，最后根据言语行为理论，研究了ＧＫＤ－ＡＯＬＰＳ系统所提供的智能体通信原语的语用性质。     

面向智能体逻辑程序设计系统GKD－AOLPS

我们在面向对象逻辑程序设计系统ＧＫＤ－ＯＯＰＳ的基础上，研究并实现了面向智能体逻辑程序设计系统ＧＫＤ－ＡＯＬＰＳ。本文首先提出了智能体的结构和机制，然后给出了一种智能体的元级结构；最后根据言语行为理论，研究了ＧＫＤ－ＡＯＬＰＳ系统所提供的智能体通信原语的语用性质。     

支持智能体的通信原语库系统的研究与实现

ＧＫＤ－ＡＰＳ是我们基于面向智能体程序高度范例设计并实现的一个支持智能体相关概念及智能体间消息通信的Ｐｒｏｌｏｇ解释器。它同时引入了智能体，精神状态，知识，信念，承诺，能力及智能体阐的消息通信等要概念，并提供了对这些概念直接支持。ＧＫＤ－ＡＰＳ为实现体间的知识通信和合作运行，构造多智能体系系统提供了基础，有效地支持了分布式系统的研究和开发。     

挤出模智能CAD系统的研究

本文介绍了塑料异型材挤出模智能ＣＡＤ系统的总体结构及功能，运用模块化设计思想，利用功能区图形库进行挤出模结构的选择及零件设计。并基于神经网络对型芯进行选型，建立起挤出模模具智能ＣＡＤ系统。     

MDESⅡ机械设计专家系统中的集成式学习方法

本文在分析机械设计与机器学习之间同在联系的基础上，阐述了智能机械ＣＡＤ中应用集成式学习的必要性，提出了一种适用于智能机械ＣＡＤ知识自动获取的集成式多策略的学习方法及其实现结构。     

Distributed scheduling to support a call center: A cooperative multiagent approach

This article describes a multiagent system architecture to increase the value of 24-hour-a day call center service. This system supports call centers in making appointments with clients on the basis ofknowledge ofemployees and their schedules. Relevant activities are scheduled for employees in preparation ofsuch appointments. The multiagent system architecture is based on principled design, using the compositional development method for multiagent systems DESIRE. To schedule procedures in which more than one employee is involved, each employee is represented by its own personal assistant agent, and a work manager agent coordinates the schedules of the personal assistant agents and clients through the call center. The multiagent system architecture has been applied to the banking domain, in cooperation with and partially funded by the Rabobank.     

Forming a desired structure topology for a group of autonomous agents based on local self-coordination

A model for the cooperation of autonomous agents of a multiagent system based on self-coordination is developed. A method is proposed to set up controls for each agent based on Kirchhoff matrices, sets of mutual-position vectors, and combined attraction–repulsion potential functions. The proposed approach was modeled for the formation of a multiagent system structure with desired topology.     

Design and implementation of a multiagent stock trading system

Stock trading is one of the key items in an economy and estimating its behavior and taking the best decision in it are among the most challenging issues. Solutions based on intelligent agent systems are proposed to cope with those challenges. Agents in a multiagent system (MAS) can share a common goal or they can pursue their own interests. That nature of MASs exactly fits the requirements of a free market economy. Although existing studies include noteworthy proposals on agent‐based market simulation and researchers discuss theoretical design issues of agent‐based stock exchange systems, unfortunately only a very few of the studies consider exact development and implementation of multiagent stock trading systems within the software engineering perspective and guides to the software engineers for constructing such software systems starting from scratch. To fill this gap, in this paper, we discuss the development of a multiagent‐based stock trading system by taking into consideration software design according to a well‐defined agent oriented software engineering methodology and implementation with a widely‐used MAS software development framework. Each participant in the system is first designed as belief–desire–intention agents with their facts, goals, and plans, and then belief–desire–intention reasoning and behavioral structure of the designed agents are implemented. Lessons learned during design and development within the software engineering perspective and evaluation of the implemented multiagent stock exchange system are also reported. Copyright © 2011 John Wiley & Sons, Ltd.     

网络结构化多Agent系统的任务分配

网络结构化多Agent系统既包括系统运行的底层物理网络,还包括Agent之间的交互网络。传统的任务分配方式并没有深入考虑到网络结构化的特点。文中首先论述网络结构化多Agent系统中任务分配的特点,介绍和分析基于底层网络拓扑与资源分布的任务分配方式、基于Agent交互网络与资源分布的任务分配方式和基于综合网络情境资源的任务分配方式。然后对相关工作进行综述,并与网络结构化多Agent系统任务分配模型进行比较分析。最后论述该方向的难点和未来要解决的问题。     

基于面向对象着色Petri网的多Agent系统建模

提出了一种基于面向对象着色Petri网（OOCPN）的多Agent建模方法,与其它建模方法相比,OOCPN可以全面地刻画出Agent的个体行为特征和多Agent间复杂、并行的动态交互,讨论了利用OOCPN进行个体Agent和多Agent间交互协议的建模,并通过对网上智能购物系统的实例分析,展示了OOCPN对多Agent系统的建模能力。     

基于多代理的信息系统开发研究

探讨了基于多代理的信息系统在其生命周期的规划、分析、设计、实施和运行维护五个阶段的开发过程,提出了代理的评价模型,在代理的测试评价中引入评价代理,研究了多代理系统进化过程。在运行维护阶段,随环境的变化,系统逐渐以代理为单位逐渐进化。     

多Agent系统的研究

自agent术语引起国内学者重视以来,人们一直试图寻找一个贴切的汉语名词,“代理人”“智能体洲结点”等概念应运而生。但这些概念都不能令人满意,因为无论是“智能体”、“代理人”,还是“结点”,都仅部分地反映了agent的特征,而未完全地反映其本质属性,故本文仍使用agent的英文形式。     

Multiagent based differential evolution approach to optimal power flow

This paper proposes a new differential evolution approach named as multiagent based differential evolution (MADE) based on multiagent systems, for solving optimal power flow problem with non-smooth and non-convex generator fuel cost curves. This method integrates multiagent systems (MAS) and differential evolution (DE) algorithm. An agent in MADE represents an individual to DE and a candidate solution to the optimization problem. All agents live in a lattice like environment, with each agent fixed on a lattice point. In order to obtain optimal solution quickly, each agent competes and cooperates with its neighbors and it can also use knowledge. Making use of these agent-agent interaction and DE mechanism, MADE realizes the purpose of minimizing the value of objective function. MADE applied to optimal power flow is evaluated on 6 bus system and IEEE 30 bus system with different generator characteristics. Simulation results show that the proposed method converges to better solutions much faster than earlier reported approaches.     

Finding influential agent groups in complex multiagent software systems based on citation network analyses

Current complex engineering software systems are often composed of many components and can be built based on a multiagent approach, resulting in what are called complex multiagent software systems. In a complex multiagent software system, various software agents may cite the operation results of others, and the citation relationships among agents form a citation network; therefore, the importance of a software agent in a system can be described by the citations from other software agents. Moreover, the software agents in a system are often divided into various groups, and each group contains the agents undergoing similar tasks or having related functions; thus, it is necessary to find the influential agent group (not only the influential individual agent) that can influence the system outcome utilities more than the others. To solve such a problem, this paper presents a new model for finding influential agent groups based on group centrality analyses in citation networks. In the presented model, a concept of extended group centrality is presented to evaluate the impact of an agent group, which is collectively determined by both direct and indirect citations from other agents outside the group. Moreover, the presented model addresses two typical types of agent groups: one is the adjacent group where agents of a group are adjacent in the citation network, and the other is the scattering group where agents of a group are distributed separately in the citation network. Finally, we present case studies and simulation experiments to prove the effectiveness of the presented model.