{"title":"合并基于规则的信念数据库","authors":"R. Wehbe","doi":"10.7892/BORIS.26458","DOIUrl":null,"url":null,"abstract":"The problem of revising a belief database is treated in many classical works. We will consider here the problem of merging two belief databases (BDBs for short) Ψ1 and Ψ2, operation that will be denoted by Ψ1 Ψ2, and whose result will be a new BDB. Since belief not necessarily reflects the actual state of the world (as opposed to knowledge), both BDBs could be incompatible. The goal is to construct a new BDB trying to retain as much as possible of the original beliefs of Ψ1 and Ψ2.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"40 1","pages":"630-635"},"PeriodicalIF":0.0000,"publicationDate":"2007-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Merging rule-based belief databases\",\"authors\":\"R. Wehbe\",\"doi\":\"10.7892/BORIS.26458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of revising a belief database is treated in many classical works. We will consider here the problem of merging two belief databases (BDBs for short) Ψ1 and Ψ2, operation that will be denoted by Ψ1 Ψ2, and whose result will be a new BDB. Since belief not necessarily reflects the actual state of the world (as opposed to knowledge), both BDBs could be incompatible. The goal is to construct a new BDB trying to retain as much as possible of the original beliefs of Ψ1 and Ψ2.\",\"PeriodicalId\":91205,\"journal\":{\"name\":\"Artificial intelligence and applications (Commerce, Calif.)\",\"volume\":\"40 1\",\"pages\":\"630-635\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-02-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial intelligence and applications (Commerce, Calif.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.7892/BORIS.26458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial intelligence and applications (Commerce, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7892/BORIS.26458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of revising a belief database is treated in many classical works. We will consider here the problem of merging two belief databases (BDBs for short) Ψ1 and Ψ2, operation that will be denoted by Ψ1 Ψ2, and whose result will be a new BDB. Since belief not necessarily reflects the actual state of the world (as opposed to knowledge), both BDBs could be incompatible. The goal is to construct a new BDB trying to retain as much as possible of the original beliefs of Ψ1 and Ψ2.