{"title":"前向链多上下文推理器及其在逻辑设计中的应用","authors":"Y. Ohta, Katsumi Inoue","doi":"10.1109/TAI.1990.130368","DOIUrl":null,"url":null,"abstract":"The authors present an extended production system architecture which can deal with forward reasoning in multiple contexts. The proposed architecture consists of a compiler of clauses and defaults into a Rete-like network, a Rete-based inference engine, and an assumption-based truth maintenance system (ATMS). The inference engine gives intermediate justifications to the ATMS and stores intermediate dependent assumptions of two-input nodes in the Rete-like network, allowing faster multiple-context reasoning. By means of this method, the multiple-context reasoner called APRICOT/0 has been implemented. An experiment under the logic design knowledge base shows that APRICOT/0 is about six to ten times faster than a system with a simple combination of a production system and the ATMS.<<ETX>>","PeriodicalId":366276,"journal":{"name":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A forward-chaining multiple-context reasoner and its application to logic design\",\"authors\":\"Y. Ohta, Katsumi Inoue\",\"doi\":\"10.1109/TAI.1990.130368\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors present an extended production system architecture which can deal with forward reasoning in multiple contexts. The proposed architecture consists of a compiler of clauses and defaults into a Rete-like network, a Rete-based inference engine, and an assumption-based truth maintenance system (ATMS). The inference engine gives intermediate justifications to the ATMS and stores intermediate dependent assumptions of two-input nodes in the Rete-like network, allowing faster multiple-context reasoning. By means of this method, the multiple-context reasoner called APRICOT/0 has been implemented. An experiment under the logic design knowledge base shows that APRICOT/0 is about six to ten times faster than a system with a simple combination of a production system and the ATMS.<<ETX>>\",\"PeriodicalId\":366276,\"journal\":{\"name\":\"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1990.130368\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1990.130368","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A forward-chaining multiple-context reasoner and its application to logic design
The authors present an extended production system architecture which can deal with forward reasoning in multiple contexts. The proposed architecture consists of a compiler of clauses and defaults into a Rete-like network, a Rete-based inference engine, and an assumption-based truth maintenance system (ATMS). The inference engine gives intermediate justifications to the ATMS and stores intermediate dependent assumptions of two-input nodes in the Rete-like network, allowing faster multiple-context reasoning. By means of this method, the multiple-context reasoner called APRICOT/0 has been implemented. An experiment under the logic design knowledge base shows that APRICOT/0 is about six to ten times faster than a system with a simple combination of a production system and the ATMS.<>