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An Effective Knowledge base system Architecture and issues in representation techniques

机译:有效的知识库系统架构和表示技术中的问题

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The research in AI is divided in to two categories Knowledge representation and general. For making the computer or Machine as intelligent as human being we require two things Knowledge representation and inference mechanism. Development of an AI system is a crucial task because some time we have incomplete information and it can be ambiguous and uncertain. So solution to these problems is to build a knowledge effective knowledge base and an effective inference mechanism. The objective of this paper is to present the knowledge base system architecture/model for intelligent system and to present the issues in various hybrid KR techniques.
机译:人工智能的研究分为知识表示和一般两大类。为了使计算机或机器像人类一样智能,我们需要两件事:知识表示和推理机制。开发AI系统是一项至关重要的任务,因为有时我们掌握的信息不完整,而且可能会模棱两可且不确定。因此,解决这些问题的方法是建立一个知识有效的知识库和有效的推理机制。本文的目的是介绍智能系统的知识库系统架构/模型,并提出各种混合KR技术中的问题。

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