{"title":"Automatic diagnoses for properly stratified knowledge-bases","authors":"O. Arieli, A. Avron","doi":"10.1109/TAI.1996.560481","DOIUrl":null,"url":null,"abstract":"The authors present a mechanism for recovering consistent data from an inconsistent set of assertions. For a common family of knowledge bases they also provide an efficient algorithm for doing so automatically. This method is nonmonotonic and paraconsistent. It is particularly useful for making diagnoses on faulty devices.","PeriodicalId":209171,"journal":{"name":"Proceedings Eighth IEEE International Conference on Tools with Artificial Intelligence","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","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.1996.560481","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The authors present a mechanism for recovering consistent data from an inconsistent set of assertions. For a common family of knowledge bases they also provide an efficient algorithm for doing so automatically. This method is nonmonotonic and paraconsistent. It is particularly useful for making diagnoses on faulty devices.
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