{"title":"合并测试和验证,用于规则库调试","authors":"F. Bouali, S. Loiseau, M. Rousset","doi":"10.1109/TAI.1996.560447","DOIUrl":null,"url":null,"abstract":"A way of formally but partially characterizing knowledge base correctness is to define knowledge base coherency. The first contribution of this paper is to show how taking into account test cases can lead to a new definition of rule base coherency that is better than existing ones. Our second contribution is that we propose extensions of model-based diagnosis that enable the complete characterization of rule base incoherencies and their possible causes. As a result, we obtain an algorithm for both debugging rule bases and detecting incoherencies.","PeriodicalId":209171,"journal":{"name":"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Merging test and verification for rule base debugging\",\"authors\":\"F. Bouali, S. Loiseau, M. Rousset\",\"doi\":\"10.1109/TAI.1996.560447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A way of formally but partially characterizing knowledge base correctness is to define knowledge base coherency. The first contribution of this paper is to show how taking into account test cases can lead to a new definition of rule base coherency that is better than existing ones. Our second contribution is that we propose extensions of model-based diagnosis that enable the complete characterization of rule base incoherencies and their possible causes. As a result, we obtain an algorithm for both debugging rule bases and detecting incoherencies.\",\"PeriodicalId\":209171,\"journal\":{\"name\":\"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1996.560447\",\"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 IEEE International Conference on Tools with Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1996.560447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Merging test and verification for rule base debugging
A way of formally but partially characterizing knowledge base correctness is to define knowledge base coherency. The first contribution of this paper is to show how taking into account test cases can lead to a new definition of rule base coherency that is better than existing ones. Our second contribution is that we propose extensions of model-based diagnosis that enable the complete characterization of rule base incoherencies and their possible causes. As a result, we obtain an algorithm for both debugging rule bases and detecting incoherencies.