An ontology based approach to organize multi-agent assisted supply chain negotiations

Effective supply chain management (SCM) comprises activities involving the demand and supply of resources and services. Negotiation is an essential approach to solve conflicting transaction and scheduling problems among supply chain members. The multi-agent system (MAS) technology has provided the potential of automating supply chain negotiations to alleviate human interactions. Software agents are supposed to perform on behalf of their human owners only when equipped with sophisticated negotiation knowledge. To better organize the negotiation knowledge utilized by agents and facilitate agents’ adaptive negotiation decision making ability, an ontology-based approach is proposed in this paper. Firstly, the multi-agent assisted supply chain negotiation scheme is presented to configure the general design components of the negotiation system, covering the agent intelligence modules, the knowledge organization method and the negotiation protocol. Then, the ontology-based negotiation knowledge organization method is specified. The negotiation knowledge is separated into shared negotiation ontology and private negotiation ontology to ensure both the agent communicative interoperability and the privacy of strategic knowledge. Inference rules are defined on top of the private negotiation ontology to guide agents’ reasoning ability. Through this method, agents’ negotiation behaviors will be more adaptive to various negotiation environments utilizing corresponding negotiation knowledge.     

一种基于多Agent系统的企业应用集成框架

在利用Agent模板语言(APL)进行多Agent系统(MAS)快速开发的基础上,提出了基于APL和多Agent系统的面向过程的企业应用集成框架。根据业务过程的一般结构与特征,框架采用分层的业务逻辑模型,实现业务逻辑与业务执行的分离。通过这种方式避免企业业务流程的局部变化引起系统整体结构的较大变动。同时在利用APL对业务过程进行描述的过程中引入了角色与结构化活动,一方面使得用户能够根据角色把业务过程分解为子过程,另外结构化活动的引入弥补了APL在描述复杂业务流程方面的不足。通过这种方式,使得用户能够利用所提出框架,提高企业应用集成系统的开发效率,增强系统的灵活性。     

Pluralistic multi-agent decision support system: a framework and an empirical test

Recent research in decision support systems (DSSs) has focused on building active cooperative intelligent systems. Research in agent-based decision support is a promising stream in this direction. This paper proposes a framework for a pluralistic multi-agent decision support system (MADSS). The distinguishing feature of the proposed approach is its organization around human decision making process. The framework builds upon the decision support pyramid with agents organized into groups according to the phases of the problem solving model. We outline the design principles and develop architecture for MADSS. The framework is illustrated through an investment MADSS prototype. The results of the empirical test are presented.     

A framework for ontology based decision support system for e-learning modules, business modeling and manufacturing systems

This paper identifies how ontology models can be vigorously used to define semantics and relationships in representing objects/modules for e-learning, business modeling support and manufacturing processing details. Further extraction of these relations by intelligent decision-support systems using data mining as a tool is discussed. The paper envisages the possibility of establishing a common solution platform for product development and customization leading to increased profitability and better resource utilization. It showcases ways to link these different ontological models leading to cross platform compatibility. It also tries to explore manufacturer-customer relationship and using them to provide quality analysis methods for further improvement in the product processing model.     

基于多Agent的聚合级装备保障CGF系统设计

聚合级装备保障CGF系统提高了基于分布式战场环境的装备保障仿真训练的复杂度和逼真度,是装备保障仿真训练系统的重要组成部分。在简要分析聚合级CGF系统基本概念和结构的基础上,提出了基于多Agent的聚合级装备保障CGF系统的体系结构,在理论上初步探讨了系统的运行机制和通信机制。     

An ontology to represent geospatial data to support building renovation

Energy-efficient building renovation is an inter-disciplinary task and requires investigation about the building condition in the urban, environmental, and societal context. Existing literature implicitly mentions the effect of surrounding data in different stages of building renovation. Nevertheless, no conceptual framework is available for practitioners to realize the potential of such data in specific phases of the renovation.The main goal of this study is to understand: (1) based on what knowledge framework surrounding geospatial and environmental data can support building renovation projects, (2) if developing an ontology can help representing this knowledge framework, and (3) how experts and engineers involved in the renovation process can contribute to development of this knowledge framework. The results present an ontology that maps surrounding geospatial and environmental concepts for different renovation tasks and use cases within building renovation. The ontology is built upon knowledge captured from previous studies that implicitly mention the effect of these datasets in building renovation, as well as expert knowledge, brainstorming, and monitoring construction sites. Additionally, a semi-structured verification and validation workshop has been performed to incorporate insights from experts directly involved in different stages of building renovation process.This paper contributes to the body of knowledge by generating a common framework for the surrounding data required in building renovation. It has an implication in practice for engineers by providing a shared knowledge framework and for software developers by providing a basis for BIM (Building Information Modeling) and GIS (Geographic Information System) data integration for renovation purposes.     

融合CBR和本体的决策支持系统框架及应用

分析了将本体与CBR方法结合开发智能决策支持系统的优点,设计了基于该方案的决策支持系统的总体框架,着重介绍了基于本体的案例组织和表示方法以及引入本体后案例检索过程中的相似度计算方法,基于该方案,设计和开发了电子政务项目审批决策支持系统。应用结果表明,利用本体对案例包含的知识进行提取和表示,再利用这些知识对案例进行组织和检索,有效地提高了案例检索的查准率和查全率。     

一个基于语义模块的交互式本体匹配框架

本体匹配是用来解决异质本体间互操作问题的一种技术手段。目前,大多数关于本体匹配的研究都集中在了如何提高匹配结果的质量上。然而,一方面,在许多情况下,匹配结果的正确与否直接依赖于用户的判断,另一方面,由于一些描述现实世界的本体十分庞大,匹配工具往往不能及时为用户提供可供确认的匹配对。为此,提出了一种基于语义模块的交互式本体匹配框架。借助信息论的相关知识,将本体聚类成语义模块。用户利用模块核心结点信息对模块的内容进行推断,从而将大规模的本体匹配任务转换为数个规模较小的语义模块间的匹配任务。通过合理地增大用户在匹配过程中的作用,试图在保证匹配质量的同时提高匹配效率。已获得的实验结果表明该方法能显著提高本体匹配任务的效率。     

基于本体和多代理的知识检索模型研究

提出了一种基于本体和多代理的三层结构的知识检索模型,这个模型建立在本体库、用户特征库、方法库和知识库的基础上,包括用户层、检索逻辑层和数据服务层.在此模型中本体用来描述知识,实现知识共享和交换,知识检索模型框架由多代理系统构成,代理之间的通讯语言也使用本体描述语言OWL来实现.最后以铁路知识为背景设计开发了知识检索模型的原型系统,并对原型系统的实现方法作了阐述.     

An integrated modelling framework to support manufacturing system diagnosis for continuous improvement

This paper proposes an integrated modelling framework for the analysis of manufacturing systems that can increase the capacity of modelling tools for rapidly creating a structured database with multiple detail levels and thus obtain key performance indicators (KPIs) that highlight possible areas for improvement. The method combines five important concepts: hierarchical structure, quantitative/qualitative analysis, data modelling, manufacturing database and performance indicators. It enables methods to build a full information model of the manufacturing system, from the shopfloor functional structure to the basic production activities (operations, transport, inspection, etc.). The proposed method is based on a modified IDEF model that stores all kind of quantitative and qualitative information. A computer-based support tool has been developed to connect with the IDEF model, creating automatically a relational database through a set of algorithms. This manufacturing datawarehouse is oriented towards obtaining a rapid global vision of the system through multiple indicators. The developed tool has been provided with different scorecard panels to make use of KPIs to decide the best actions for continuous improvement. To demonstrate and validate both the proposed method and the developed tools, a case study has been carried out for a complex manufacturing system.     

An ontology based framework for mining dependence relationships between news and financial instruments

Before news is input into financial trading algorithms/models, it needs human judgements for exploring the market implications of news content, distinguishing significance extent of news, and finding out the impact of polar type of each kind of news on certain financial instrument trading activity. But Dawes and Faust (1989) reported that people usually rely on clinical judgements, especially it is hard for them to distinguish valid decision variables from invalid ones in decision making. Thus, in order to alleviate this problem and provide more objective decision making support about news in financial market, an ontology based framework is proposed, for investigating the actuarial dependence relationships between news and financial instruments trading activities as well as identifying more valid news for trading decision making. This framework is expected to help people in financial market how to consider weight for each kind of news when inputted in trading algorithms/models of certain financial instruments.     

基于本体和会话策略的多主体交互协议描述方法

提出一种基于会话策略的多主体交互协议描述方法。交互协议中的消息用言语动作来表示,这些言语动作被描述为WS-Agreement的schema;会话策略则描述了消息传递的流程以及交互过程中的上下文信息,如参与者属性、时间阈值等等,所有这些会话策略组成了一个多主体交互协议;采用本体描述语言OWL作为会话策略的表示语言。这种方法使得主体在一个开放、动态的环境中可以灵活地选择交互协议。     

基于知识本体的语义信息检索框架设计

基于关键词匹配的信息检索方式不能反映出被检关键字在现实世界中的语义,因此这种检索方式不可避免地导致查准率和查全率低的缺陷,而概念检索中的主体词典表达领域知识的能力有限。提出了一个基于知识本体的能够实现语义信息检索的多主体系统,它包括描述信息收集、存储、语义匹配和语义相关性扩展等几个主要部分,可以在很大程度上提高检索结果的查准率和查全率。     

基于履带式本体构建方法的多代理模型研究

本体工程为本体构建提供与其相适应的本体开发方法。履带式本体构建方法具有较强的适应性,能够针对本体的不同规模来指导本体开发操作,并对开发过程进行评估。为提高本体构建效率,利用多代理的分布性、自治性、协作性等特点,构建了支持履带式本体开发方法的多代理模型,对其中的代理、通信和代理之间的协作进行了形式化定义和描述,并实现了代理操作、协作等相关算法和代理运行平台。     

面向装配的多agent排产模型研究

拖期罚金带来的成本问题使中小规模离散制造企业在竞争中面临巨大压力.为此,采用多agent技术设计面向装配的三层排产框架模型;利用多agent的自治和协同,结合经验规则,将复杂的大规模排产逐层分解,转化为可用算法优化的子问题,再自底向上归并更新,迭代寻优完成生产排产,并可依计划执行情况进行动态调度.以合作企业凹印机历史订单数据进行排产仿真,结果表明,通过对设备空闲时间分布的有效管理,此三层模型能够有效解决订单拖期问题,对中小企业的成本控制具有重要意义.     

基于多Agent的JIT软件构架研究

以智能JIT管理软件开发项目为研究背景,阐述基于多Agent的JIT软件构架的研究问题。根据JIT原理构建JIT生产过程构架;使用UML建模工具构建JIT管理软件类构架,将领域构架转化为软件构架,并且应用多Agent技术优化软件构架：构建了JIT系统的Petri网模型,分析了JIT系统的动态特性。通过在智能JIT管理软件开发中的实际应用,证明JIT的过程构架和软件构架是合理的,并取得了良好的效果。     

Evidential calibration process of multi-agent based system: An application to forensic entomology

Forensic entomology consists, during a criminal investigation, in studying the insects found on a cadaver to estimate the time of death. This is the only technique that can be used for a large post-mortem interval. But, because of the important system complexity, the result given by the expert are imperfect. In this paper, a decision support system (DSS) has been developed to take into account all the ecosystemic parameters and a significant quantity of biological models. The proposed DSS is based on the belief function theory to validate and calibrate agent based simulations. First results of this architecture are presented within the framework of a real forensic examination.     

基于动态描述逻辑的作物系统模拟框架本体研究

作物系统模拟框架是构建作物生长模型和设计可重用的作物模拟软件的基础框架。作物系统模拟是一个动态过程,传统的本体表示方法无法准确描述。本文对作物系统模拟框架进行形式化的表示,通过分析不同作物模拟过程的作物、子模型和算法之间的关系,给出了动态描述逻辑的逻辑表示,有利于模型之间交流、互操作和重用。