{"title":"基于规则的系统中信念修正模型的比较分析框架","authors":"S. Schocken","doi":"10.1109/HICSS.1989.49173","DOIUrl":null,"url":null,"abstract":"Belief revision in standard rule-based systems is NP-hard, and it is necessary to resort to quasiprobabilistic belief languages which are quite problematic on normative grounds. The author presents a framework designed to study the Bayesian interpretation and cognitive appeal of these languages. He uses this framework to review some well-known and some recent findings, and comments on the merit of alternative approaches to belief revision in rule-based systems.<<ETX>>","PeriodicalId":384442,"journal":{"name":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A framework for comparative analysis of belief revision models in rule-based systems\",\"authors\":\"S. Schocken\",\"doi\":\"10.1109/HICSS.1989.49173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Belief revision in standard rule-based systems is NP-hard, and it is necessary to resort to quasiprobabilistic belief languages which are quite problematic on normative grounds. The author presents a framework designed to study the Bayesian interpretation and cognitive appeal of these languages. He uses this framework to review some well-known and some recent findings, and comments on the merit of alternative approaches to belief revision in rule-based systems.<<ETX>>\",\"PeriodicalId\":384442,\"journal\":{\"name\":\"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HICSS.1989.49173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Twenty-Second Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HICSS.1989.49173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A framework for comparative analysis of belief revision models in rule-based systems
Belief revision in standard rule-based systems is NP-hard, and it is necessary to resort to quasiprobabilistic belief languages which are quite problematic on normative grounds. The author presents a framework designed to study the Bayesian interpretation and cognitive appeal of these languages. He uses this framework to review some well-known and some recent findings, and comments on the merit of alternative approaches to belief revision in rule-based systems.<>