{"title":"反统一和相对互补的高效并行算法","authors":"G. Kuper, K. McAloon, K. Palem, K. Perry","doi":"10.1109/LICS.1988.5109","DOIUrl":null,"url":null,"abstract":"Parallel algorithms and computational complexity results are given for two problems; computing the relative complement of terms and antiunification. The concepts of antiunification and relative complement are useful for theorem proving, logic programming, and machine learning. The relative complement problem is shown to be NP-complete.<<ETX>>","PeriodicalId":425186,"journal":{"name":"[1988] Proceedings. Third Annual Information Symposium on Logic in Computer Science","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Efficient parallel algorithms for anti-unification and relative complement\",\"authors\":\"G. Kuper, K. McAloon, K. Palem, K. Perry\",\"doi\":\"10.1109/LICS.1988.5109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Parallel algorithms and computational complexity results are given for two problems; computing the relative complement of terms and antiunification. The concepts of antiunification and relative complement are useful for theorem proving, logic programming, and machine learning. The relative complement problem is shown to be NP-complete.<<ETX>>\",\"PeriodicalId\":425186,\"journal\":{\"name\":\"[1988] Proceedings. Third Annual Information Symposium on Logic in Computer Science\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1988] Proceedings. Third Annual Information Symposium on Logic in Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LICS.1988.5109\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings. Third Annual Information Symposium on Logic in Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LICS.1988.5109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient parallel algorithms for anti-unification and relative complement
Parallel algorithms and computational complexity results are given for two problems; computing the relative complement of terms and antiunification. The concepts of antiunification and relative complement are useful for theorem proving, logic programming, and machine learning. The relative complement problem is shown to be NP-complete.<>