基于对象／Agent的计算机集成过程运行系统建模研究

运用面向对象方法学、ＫＡＤＳ原理以及分布式人工智能领域的Ａｇｅｎｔ概念,用对象描述过程领域,用Ａｇｅｎｔ描述过程运行决策系统,建立一种基于对象／Ａｇｅｎｔ的计算机集成过程运行（ＣＩＰＯ）系统模型。通过开发实例系统ＴＥ－ＣＩＰＯＳ,说明了该模型的应用及优点。     

微机机械CAD系统SKYSHIP V1·1（续）

微机机械ＣＡＤ系统ＳＫＹＳＨＩＰＶ１·１（续）性能价格比高：·采用新技术，不仅在微机上实现了原来需要在工作站上完成的三维ＣＡＤ的主要功能，还为采用ＣＡＭ技术提供了基础。设计者认为：这是微机ＣＡＤ系统能力的一个飞跃，使中国机械设计制造企业能够获得与国外...     

一个基于知识的二维模具CAPP／CAM系统MEKCAM

ＣＡＤ／ＣＡＰＰ／ＣＡＭ系统的一体化是计算机智能制造管理系统和计算机集成制造系统等的核心部分和重要研究课题，本文论述一个基于知识的柔性电路板模具ＣＡＰＰ／ＣＡＭ系统－ＭＥＫＣＡＭ。首先讨论ＭＥＫＣＡＭ的结构及功能，然后介绍该系统所使用的有关知识和算法，最后，我们给出ＭＥＫＣＡＭ的实现方法及系统评价。     

基于C/S架构的ACMP系统网络的设计与实现

先进控制与监视软件包（ＡＣＭＰ）系统是面向计算机集成过程控制系统（ＣＩＰＳ）的先进集散控制系统,向下肩负着过程控制和优化的重担,向上能够提供ＣＩＰＳ所需的各种过程控制信息并进行监督和管理。简述通用ＡＣＭＰ系统的概貌,详细叙述系统网络的设计原则,方案和实现。     

专家系统支持的网络管理系统模型研究

本文在分析比较现有网络管理系统（ＮＭＳ）的基础上，提出了能够适应网络发展和满足军用用需求的智能化ＮＭＳ概念模型以及分布式的合作管理模式。对ＮＭＳ中专家系统建立的机理进行了深入探讨，着重介绍了具有多种故障管理模式的分布式智能网络管理系统模型（ＤＩＭＭ）和二级签下机关系统模型（ＣＡＭＳ）。     

知识获取系统NDKAS的研究与应用

知识获取系统ＮＤＫＡＳ的研究与应用潘金贵，陈彬，陈晶，陈世福（南京大学计算机科学系南京２１０００８）ＴＨＥＲＥＳＥＡＲＣＨＡＮＤＡＰＰＬＩＣＡＴＩＯＮＯＮＴＨＥＫＮＯＷＬＥＤＧＥＡＣＱＵＩＳＩＴＩＯＮＳＹＳＴＥＭ－ＮＤＫＡＳ￥ＰａｎＪｉｎｇｕｉ；Ｃｈ...     

微机机械CAD系统SKYSHIP V1．1

微机机械ＣＡＤ系统ＳＫＹＳＨＩＰＶ１．１ＳＫＹＳＨＩＰＶＩ．１是北京信天舟科技有限公司开发的将航空机械产品的设计经验和计算机辅助设计技术相结合的中文微机机械ＣＡＤ系统。传统的微机机械ＣＡＤ软件实际上多是以直接绘出工程图纸为目标的计算机二维辅助绘图系统...     

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。     

智能CASE工具设计

本文提出了智能ＣＡＳＥ工具，把用户知识与系统开发人员的知识结合在一起。文章先讨论了智能ＣＡＳＥ工具的设计思想，然后，描述了智能ＣＡＳＥ工具的模型结构。     

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...     

Applying KADS to KADS: knowledge-based guidance for knowledge engineering

Abstract: The KADS methodology (Schreiber et al. 1993; Tansley & Hayball 1993) and its successor, CommonKADS (Wielinga et al. 1992) have proved to be very useful approaches for modelling the various transformations involved between eliciting knowledge from an expert and encoding this knowledge in a computer program. These transformations are represented in a series of models. While it is widely agreed that these methods are excellent approaches from a theoretical viewpoint, the documentation provided concentrates on defining what models should be produced, with only general guidance on how the models should be produced. This has the advantage of making KADS and CommonKADS widely applicable, but it also means that considerable training and experience is required to become proficient in them. This paper reviews three projects that investigated the feasibility of producing specific guidance for certain decisions which are required when using KADS or CommonKADS to develop a knowledge-based system. Guidance was produced for the identification of the generic task addressed by a knowledge-based system; for the selection of appropriate AI techniques for implementing the analysed knowledge; and for selecting a suitable tool for implementing the system. Each set of guidance was encoded in its own knowledge-based system, which was itself developed with the assistance of KADS or CommonKADS. These projects therefore both studied and applied KADS and CommonKADS in order to produce knowledge-based guidance for knowledge engineers. The projects showed that it was feasible to produce heuristic guidance which could be understood, applied and occasionally overridden by knowledge engineers. The guidance provides reasonably experienced knowledge engineers with a framework for making the key decisions required by CommonKADS, in the same way that CommonKADS provides knowledge engineers with a framework for representing knowledge. The projects also produced some new insights about CommonKADS domain modelling and about the process of task identification.     

基于模型的知识建模语言

一、基于模型的知识工程方法 基于知识的系统(KBS)作为复杂软件系统,其自身及开发程遵循一定准则。早期的KBS构造基于快速原型法,即将获取的知识立即转换实现为相应的软系统,通过系统运行的反馈信息去评估、修     

Applying rule-base anomalies to KADS inference structures

The literature on validation and verification of knowledge-based systems contains a catalogue of anomalies for knowledge-based systems, such as redundant, contradictory or deficient knowledge. Detecting such anomalies is a method for verifying knowledge-based systems. Unfortunately, the traditional formulation of the anomalies in the literature is very specific to a rule-based knowledge representation, which greatly restricts their applicability. In this paper, we show how the traditional anomalies can be reinterpreted in terms of conceptual models (in particular KADS inference structures). For this purpose, we present a formalisation of KADS inference structures which enables us to apply the traditional rule-base anomalies to these inference structures. This greatly improves the usefulness of the anomalies, since they can now be applied to a much wider class of knowledge-based systems. Besides this reformulation and wider applicability of the traditional anomalies, further contributions of this paper are a novel formalisation of KADS inference structures and a number of improvements to the existing formalisation of the traditional anomalies.     

基于遗传算法的方案智能优化设计

建立方案智能优化设计的过程模型，提出一种新的方案智能优化设计的求解方法模型：知识－分析－生成－评价－进化，研究了基于遗传算法的方案智能优化设计的关键技术，作为工程实例建立了起重机起升装置方案优化设计智能系统。     

知识工程的KADS建模方法

KADS被广泛认为是最优秀的知识工程建模方法之一。本文论述了KADS建模方法的主要特点、KADS建模的形式描述语言和KADS建模的实现环境。     

基于Ontology知识库系统建模*

根据KADS的知识模型探讨了领域知识库系统构建的分层模型,并基于Ontology对知识库进行了设计。通过C++和ASP技术对学习系统中的部分模块进行了实现。最后给出了原型系统的运行界面。     

智能设计体系结构的研究

本文研究智能设计的体系结构,首先提出了智能设计的抽象层次模型,在分析设计师的智能行为后,提出智能设计的异构知识的概念,探讨了智能行为的内在运行机制,以及 计算机处理异构知识的集成推理方法,给出了基于上述模型的系统集成推理求解策略和实现方法。     

知识系统的知识重用方法

KADS方法的主要贡献是提出了层次化的知识模型,这有助于领域知识和PSM的重用。但是,要真正实现领域知识和PSM的重用,还需要引入本体来实现各层次间的灵活配置,将相互独立的层次紧密地联系在一起,共同组成一个完整的系统。文中介绍了知识系统的本体的种类及其可重用性,讨论了在知识系统中引入本体以实现系统知识重用的方法。     

Using KADS methodology in a simulation assisted knowledge based system: application to hospital management

This paper presents a knowledge-based system for aiding in the decision-making process that is carried out in hospital management. There are a number of reasons that have led us to choose a tool such as this one: the amount of information generated in a hospital, its great interrelation and the need of heuristic knowledge for its processing.The KBS has been designed following the KADS methodology. KADS has allowed us to obtain a structured representation of the knowledge, which makes easier both the construction and the debugging of the knowledge base. As a starting point, the decision-making task has been decomposed in four subtasks: monitoring; diagnosis; prediction of the possible solutions for the stated problem; and design of the solution.The prediction task can only be performed through a simulation program where the dynamics of the hospital is modeled. This allows the system to detect the consequences of the application of different possible solutions. The co-operation between simulation and artificial intelligence has proven to be an adequate technique for dealing with the decision-making tasks that are involved with the management of complex organizations.