{"title":"在基于案例的设计中使用多个案例","authors":"T. Tanaka, M. Hattori, Naomichi Sueda","doi":"10.1109/CAIA.1992.200035","DOIUrl":null,"url":null,"abstract":"A framework of case-based design and its application to the mechanical design of induction motors are described. In the proposed framework, the use of multiple cases is essential in reducing the problem-solving complexity and ameliorating the knowledge acquisition bottleneck. Two subproblem generation processes are introduced: case-based reduction and goal-directed decomposition. In order to implement these processes effectively, a design model is introduced which maps requirement differences to the part of the design to be modified, and a decomposition algorithm is applied which takes into account the retrieval possibility and interaction occurrence. In a preliminary evaluation, the motor design system's performance was found to be as good as that of a human designer.<<ETX>>","PeriodicalId":388685,"journal":{"name":"Proceedings Eighth Conference on Artificial Intelligence for Applications","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Use of multiple cases in case-based design\",\"authors\":\"T. Tanaka, M. Hattori, Naomichi Sueda\",\"doi\":\"10.1109/CAIA.1992.200035\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A framework of case-based design and its application to the mechanical design of induction motors are described. In the proposed framework, the use of multiple cases is essential in reducing the problem-solving complexity and ameliorating the knowledge acquisition bottleneck. Two subproblem generation processes are introduced: case-based reduction and goal-directed decomposition. In order to implement these processes effectively, a design model is introduced which maps requirement differences to the part of the design to be modified, and a decomposition algorithm is applied which takes into account the retrieval possibility and interaction occurrence. In a preliminary evaluation, the motor design system's performance was found to be as good as that of a human designer.<<ETX>>\",\"PeriodicalId\":388685,\"journal\":{\"name\":\"Proceedings Eighth Conference on Artificial Intelligence for Applications\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth Conference on Artificial Intelligence for Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CAIA.1992.200035\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Eighth Conference on Artificial Intelligence for Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAIA.1992.200035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A framework of case-based design and its application to the mechanical design of induction motors are described. In the proposed framework, the use of multiple cases is essential in reducing the problem-solving complexity and ameliorating the knowledge acquisition bottleneck. Two subproblem generation processes are introduced: case-based reduction and goal-directed decomposition. In order to implement these processes effectively, a design model is introduced which maps requirement differences to the part of the design to be modified, and a decomposition algorithm is applied which takes into account the retrieval possibility and interaction occurrence. In a preliminary evaluation, the motor design system's performance was found to be as good as that of a human designer.<>