{"title":"默认逻辑下的概念学习","authors":"Zhaogang Qian, K. Irani","doi":"10.1109/TAI.1992.246410","DOIUrl":null,"url":null,"abstract":"A model of induction is presented. Knowledge that people use for inductive concept learning is represented explicitly in terms of default schemas. Therefore, concept learning can be viewed as nonmonotonic reasoning in default logic. A computational procedure is also provided as an implementation of the idea presented.<<ETX>>","PeriodicalId":265283,"journal":{"name":"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Concept learning in default logic\",\"authors\":\"Zhaogang Qian, K. Irani\",\"doi\":\"10.1109/TAI.1992.246410\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A model of induction is presented. Knowledge that people use for inductive concept learning is represented explicitly in terms of default schemas. Therefore, concept learning can be viewed as nonmonotonic reasoning in default logic. A computational procedure is also provided as an implementation of the idea presented.<<ETX>>\",\"PeriodicalId\":265283,\"journal\":{\"name\":\"Proceedings Fourth International Conference on Tools with Artificial Intelligence TAI '92\",\"volume\":\"115 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.1992.246410\",\"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.1992.246410","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A model of induction is presented. Knowledge that people use for inductive concept learning is represented explicitly in terms of default schemas. Therefore, concept learning can be viewed as nonmonotonic reasoning in default logic. A computational procedure is also provided as an implementation of the idea presented.<>