基于软件代理的多媒体通信知识管理

L. Kieltyka
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摘要

本文提出了与软件代理和代理系统(即由通信和协作的软件代理组成的系统)相关的知识管理问题。作者提出了基本的理论问题,但主要关注的是软件代理在多媒体通信中的应用领域-包括现有的和未来的应用。本处特别关注软件代理的应用:透过联络中心系统支援客户服务流程;支持远程教育系统;以聊天机器人的形式创建虚拟助手;在语义网中搜索信息,并协助建立视频电话会议。由于其智能行为,软件代理通常被称为“智能”。它们的核心包括:感知、推理、学习、交流和在复杂环境中的操作,使用所有多媒体技术和程序。本文所介绍的软件代理和代理系统代表了分析、设计和实现复杂(通常是分散和分布式)计算机系统的一种新方法,提供了一系列的概念、技术和工具来显著改进软件开发过程。软件代理做出自主决策的能力一直是一个需要考虑的问题。除此之外,它们是基于认知科学的例子,它处理的是对人类信息处理的真实过程进行建模,并构建模仿这些过程的程序。对基于代理的系统中共享知识和知识管理的共同理解的研究集中在本体上,本体被理解为对知识表示方式和该知识所表示的概念之间关系的描述。相比之下,知识共享的研究主要集中在通信语言及其相关的交互协议和消息传输协议。
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Knowledge Management in Multimedia Communication Using Software Agents
This paper presents the problem of knowledge management related to software agents and agent systems (i.e. systems composed of communicating and cooperating software agents). The author presents basic theoretical issues, but the main focus is on the areas of application of software agents in multimedia communication - both existing and prospective applications. Particular attention has been paid to the applications of software agents for: supporting customer service processes through the Contact Centre system; supporting the distance learning system; creating virtual assistants in the form of conversation bots; searching for information in the Semantic Web, and assisting in setting up a video conference call. Software agents are often referred to as 'intelligent' - due to their intelligent behaviour. At their core, they involve: perception, reasoning, learning, communication and operation in complex environments, using all multimedia techniques and procedures. Software agents and agent systems, as presented in this article, represent a new approach to the analysis, design and implementation of complex (usually decentralised and distributed) computer systems, offering a whole range of concepts, techniques and tools to significantly improve the software development process. The ability of software agents to make autonomous decisions have been a subject of considerations. Among other things, they are based on the example of cognitive sciences, which deal with modelling real processes of  information processing in humans and building programmes that imitate these processes. Research on the common understanding of shared knowledge and knowledge management in agent-based systems focuses on ontologies, understood as a description of the relationship between the way knowledge is represented and the concept represented by that knowledge. In contrast, research on knowledge sharing has focused on communication languages and their associated - interaction protocol and message transport protocol. 
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