A Method Of Tourist AI CBR System Design Based Multi-layer Case Base Architecture

KB (knowledge based) system has growled very fast in recent years, and through KB system the speed of information transmission is increased. KB system has been used succeed in many fields. In this article we describe a method of build a CBR tourist AI system.The task of this dissertation is to study the general CBR and the Introspective CBR and come up one of methods to resolve the problem which multi-user CBR systems face to. This method is a new architecture in case base, which can improve the system.CBR is based on the idea that past problem-solving experiences can be reused and learned from in solving new problems. In KB system the representation of knowledge usually decides the reasoning methods so in this paper we first discuss the representation of knowledge in the past. Second, we describe the representation of knowledge in CBR in detail. And we can see the superiority of CBR system. It is a very crucial problem that How to improve the speed of reasoning and data redundancy in case base. Because in today's industrial environment new case are entered at very fast rate, making it necessary to reorganize a case base from time to time .The relative important of the cases are also changing, partly due to the changing problem space, and also partly due to the changing interesting of users. In this article we will discuss those problems, In this paper we proposal a new case architecture called multi-layer case architecture, through this architecture we improve the process of CBR reasoning also we can control the data redundancy at the beginning of the system design, n CBR AI system, Continuing add cases to the cases database made the database become redundancy, as a result the CBR system's reasoning ability become poorly, sometime even down. So it's very important to solve this problem. This paper gives us a way to solve the problem. This means adopt CBR and RBR' combine though this way the system covers the problem whole log.