面向对象的仿真综述

面向对象的仿真为人们研究现实世界提供了一种更为自然的框架，它是当前仿真领域最新的研究方向之一，面向对象的观点把系统看作由相互作用的对象组成，它能够以使人们易于理解的形式构造现实系统的仿真模型，并能使人们在一个具有实际含义的层次上观察模型的行为。本文介绍面向对象的仿真的基本观点和研究现状，论述面向对象方法的基础思想和应用于仿真的可能性，讨论面向对象的建模和实现面向对象仿真的方法，以及面向对象仿真的益     

知识基集成制造柔性仿真系统

利用ＣＩＭＯＳＡ体系结构中ＦＢＳ模型、实体类库、过程知识库和数据库建立了ＣＩＭ系统的仿真模型知识库，并通过面向对象框架语言对其进行表达，由推理机从过程规则集中推理产生仿真模型的行为.     

一个面向对象的仿真建模框架

基于面向对象的思想、系统理论概念和ＤＥＶＳ形式理论,研究提出了一种面向对象的仿真建模框架,它由建模框架和控制框架组成．建模框架提供了描述组成系统的对象、描述局部于对象的行为和对象之间交互作用的结构和方法;控制框架提供了分离不同的仿真控制功能的更为灵活的控制结构．本文的研究为面向对象的仿真提供了一个概念框架．并为研究开发新的仿真建模系统提供了理论基础．     

基于UML的管道虚拟仿真系统设计

基于面向对象开发过程，构造了管道虚拟仿真系统总体框架，建立了管道虚拟仿真应用子系统的需求分析与系统设计UML模型。从管道虚拟仿真系统OOA到OOD阶段，分别体现了软件复用的特点，能够实现在可复用的UML模型基础上进行过程工业的管道虚拟仿真系统开发。模型可重用性好，已得到实际应用验证。     

FMS动态仿真建模研究

基于现代设计方法的特点提出了一种面向FMS的动态仿真建模方法,并以此为核心结合面向对象及智能体等先进技术构造了FMS系统仿真的动态建模框架,同时论述了动态模型的建模机制、解决方案及关键技术,最后给出了一个面向FMS动态仿真建模的仿真环境。     

交会对接仿真系统的设计策略研究

针对交会对接仿真系统的三种实现方式，提出先研制一种可扩充的RVD数字仿真系统，再在其基础上进行扩充的研究方案。在给出系统动力学模型的基础上，根据该数字仿真系统可扩充性的要求，利用面向对象的仿真技术分析了RVD数字仿真系统的设计策略，给出了仿真系统的总体框架。最后，在系统分析的基础上建立了一个初步的面向对象RVD仿真系统。     

用于复杂系统建模与仿真的面向智能体技术

在构造兼具数据处理和知识处理能力的新型面向对象型形式化体系上,根据复杂系统仿真的需要,使系统组分“对象”具有自主决策、控制和通信功能,建成多Ａｇｅｎｔ系统。给出多Ａ－ｇｅｎｔ系统实现群组决策的示例。     

一种面向对象的混合动态系统的仿真环境

面向对象技术和混合动态系统均是当前的研究热点。本文把面向对象的软件技术应用于混合动态系统的仿真环境研究之中 ,设计了面向对象的混合动态系统的仿真环境的软件结构 ,完成了类的构造 ,并在中文Windows95环境下 ,以VisualC 2 .0语言实现之。     

面向对象微观交通仿真系统的研究与实现

介绍了面向对象与仿真的关系以及面向对象建模仿真方法，结合基于OODB和基于DEVS的两种面积对象建模仿真方法，提出了基于面向对象的微观交通仿真模型模过程，并给出了仿真系统用VC＋＋语言实现时，部分关键问题的程序实现方法，最后，给出了系统程序实现的总体流程。     

面向对象的多媒体仿真建模环境

多媒体仿真技术研究的最终目的就是建立一个面向对象的多媒体综合仿真环境。本文从面向对象的建模方法学出发，提出了在多媒体仿真环境中对象模型的概念框架，以及建模环境的概要设计。     

Multi-band spectrum auction framework based on location information in cognitive radio networks

Cognitive radio(CR) technology is considered to be an effective solution to allocate spectrum resources,whereas the primary users of a network do not fully utilize available frequency bands.Spectrum auction framework has been recognized as an effective way to achieve dynamic spectrum access.From the perspective of spectrum auction,multi-band multi-user auction provides a new challenge for spectrum management.This paper proposes an auction framework based on location information for multi-band multi-user spectrum allocation.The performance of the proposed framework is compared with that of traditional auction framework based on a binary interference model as a benchmark.Simulation results show that primary users will obtain more total system revenue by selling their idle frequency bands to secondary users and the spectrum utilization of the proposed framework is more effective and fairer.     

Managing Complexity—The Path Toward Intelligent Organizations

Coping with complexity is at the heart of management and leadership in the turbulent environments faced by the organizations and societies of our day. The systems approach provides transdisciplinary theories and tools for dealing with this challenge more effectively than efforts merely based on disciplinary insights or pragmatic recipes. In this paper, a concept of "intelligent organizations" is introduced. A framework for the design of intelligent organizations is proposed that links three organizational cybernetic models: the Model for Systemic Control, the Viable System Model, and the Team Syntegrity model.² The proposition is that a combined use of these models, guided by the integrative conceptual framework, enables a more effective response to complex situations than merely pragmatic approaches to "integrative management." Provisional empirical evidence gathered from applied research indicates that the proposed framework is capable of enhancing such superior potential for effective response. As such, it promises to meet the specific needs of the new types of organizations that have already begun to emerge in the knowledge societies.     

模拟视角下广义混合型决策信息的综合集成

对由混合数据、多类型的赋权方法、多结构的集结方式等组成的广义混合型决策信息,研究该类决策信息的综合集成和求解问题。首先以传统的决策流程为底层框架,对广义混合型决策信息进行分类整合,构建信息集成框架;然后,从随机模拟视角分析了信息集成框架的求解方法并归纳了求解的基本步骤。在此基础上,通过导弹方案的选择问题对本文给出方法的具体应用进行了说明,并验证了该方法的有效性。本文通过构建信息集成框架的方式解决了多类型决策信息的融合难题,且实现了信息集成框架的柔性求解。该研究可为民主决策中多来源、多类型决策信息的融合提供技术参考。     

改进的软件项目度量框架

将度量技术应用于软件项目的开发中,经常会出现一些问题,其中一个很重要的问题就是组织策略同项目之间的度量不一致。针对这种情况,在分析现有的两种软件项目度量框架(B和W框架)的基础上,结合两者优点提出了一种网格状的改进框架。改进框架具有严格的定义和特定的实施过程,具有比较强的操作可行性。同时,它也可以解决软件度量中的一些其它问题。     

基于同类样本覆盖的BP网络结构设计准则研究

针对采用反向传播算法的神经网络(Backpropagation:BP)作为实现仿生模式识别理论的工具时所遇到的最佳结构设计问题,提出了一个基于提高仿生模式识别系统性能的BP神经网络结构设计准则。该准则基于无论是在不同类样本点间还是同类样本点间都存在有先验知识这一结论,通过利用同类样本中所蕴含的先验知识对神经网络的结构进行设计,不仅能够确保仿生模式识别过程中的学习过程有效收敛,而且也使得网络结构的设计满足特定任务的要求。交通标识符识别的对比实验结果证明了该设计准则的有效性。     

基于HLA的深空探测系统仿真平台

为了仿真验证深空探测中的自主技术,采用基于HLA(High Level Architecture)的分布式仿真技术以及三维视景仿真技术,设计了分布式可视化深空探测系统仿真平台;实现了通用的联邦成员主体软件框架,该软件框架可嵌入不同的仿真实体模块,提高了项目开发的效率。以月球探测器软着陆仿真为例,验证了此仿真平台的可行性。该仿真平台也为进一步验证深空探测的自主技术奠定了基础。     

Elicitation Methods of Organisational Knowledge: From the Individual to the Collective Through an Integrative Approach

The importance of the cyclic transformation of tacit knowledge into explicit knowledge for the knowledge-creation organisations is strategic. Yet in many instances this transformation is supported by informal settings with low process controllability. It is critical though that this be followed by a more systematic approach. A number of models of organisational learning have been developed by extrapolating individual learning styles, as is the case of the holonomic framework. However, there is a need to relate more closely models of learning and of knowledge creation to the knowledge elicitation methods, in order to further support knowledge management practice. This paper examines the holonomic framework with the view of informing the systematic elicitation of strategic knowledge in professional practice. It draws upon the experience and practical application of elicitation methods–in particular causal mapping and scenario building methods–to elicit middle-senior managers’ strategic knowledge by candidates to a Masters in Business Administration. The two methods are benchmarked against the holonomic cycle of knowledge development with regards to its learning phases, thus providing a more integrative approach to strategic knowledge elicitation methods.     

New incremental clustering framework based on induction as inverted deduction

A new incremental clustering framework is presented, the basis of which is the induction as inverted deduction. Induction is inherently risky because it is not truth-preserving. If the clustering is considered as an induction process, the key to build a valid clustering is to minimize the risk of clustering. From the viewpoint of modal logic, the clustering can be described as Kripke frames and Kripke models which are reflexive and symmetric. Based on the theory of modal logic, its properties can be described by system B in syntax. Thus, the risk of clustering can be calculated by the deduction relation of system B and proximity induction theorem described. Since the new proposed framework imposes no additional restrictive conditions of clustering algorithm, it is therefore a universal framework. An incremental clustering algorithm can be easily constructed by this framework from any given nonincremental clustering algorithm. The experiments show that the lower the a priori risk is, the more effective this framework is. It can be demonstrated that this framework is generally valid.     

基于MDA的仿真模型开发与集成方法研究

主要介绍了一种基于MDA的仿真模型开发与集成方法。探讨了MDA在仿真模型组件重用和可组合中的应用,如实现实验、想定、分析和模型集成的一致性;提高仿真模型组件的重用性和可组合性;支持仿真模型和仿真系统需求和设计的工程化;更容易支持体系结构视图的描述;支持开发可配置强的和柔性的仿真系统等。介绍了当前基于MDA的仿真应用的发展,并提出了一个基于MDA的仿真模型集成框架和仿真模型开发与集成方法。该集成框架采用MDA的思想,将仿真模型分为仿真模型设计组件和仿真模型运行组件,通过建立面向仿真设计模型组件的仿真元模型规范、仿真组件对象规范、仿真服务规范和仿真模型组件组合规范确保仿真模型的设计、开发、集成和运行的一致性和仿真系统发展的可持续性。