{"title":"知识获取的各种问题解决模型","authors":"F. Ramparany","doi":"10.1109/TAI.1992.246434","DOIUrl":null,"url":null,"abstract":"Various roles that high-level or abstract models of expertise could play in improving the process of knowledge acquisition are reviewed. A detailed analysis of the knowledge acquisition process is presented. This analysis allows the different aspects of the process where using problem-solving models might be potentially beneficial to be identified. A synthetic view of these potential roles is given. An attempt to make these roles operational with a knowledge engineering workbench, limitations of the approach, and related work are discussed.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Various uses of problem solving models for knowledge acquisition\",\"authors\":\"F. Ramparany\",\"doi\":\"10.1109/TAI.1992.246434\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various roles that high-level or abstract models of expertise could play in improving the process of knowledge acquisition are reviewed. A detailed analysis of the knowledge acquisition process is presented. This analysis allows the different aspects of the process where using problem-solving models might be potentially beneficial to be identified. A synthetic view of these potential roles is given. An attempt to make these roles operational with a knowledge engineering workbench, limitations of the approach, and related work are discussed.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1992.246434\",\"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 Fourth International Conference on Tools with Artificial Intelligence TAI '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1992.246434","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Various uses of problem solving models for knowledge acquisition
Various roles that high-level or abstract models of expertise could play in improving the process of knowledge acquisition are reviewed. A detailed analysis of the knowledge acquisition process is presented. This analysis allows the different aspects of the process where using problem-solving models might be potentially beneficial to be identified. A synthetic view of these potential roles is given. An attempt to make these roles operational with a knowledge engineering workbench, limitations of the approach, and related work are discussed.<>