{"title":"Using defeasible logic to control selection of a business forecasting method","authors":"D. Nute, R. Mann, B. Brewer","doi":"10.1109/HICSS.1988.11939","DOIUrl":null,"url":null,"abstract":"An approach to nonmonotonic reasoning in expert systems is presented that does not rely on numerical probabilities or confidence factors, using instead rules-of-thumb that cover the normal or typical case but are known to have exceptions. A logic for such defeasible rules is implemented in d-Prolog, an extension of Prolog. FORE, a prototype, knowledge-based system written in d-Prolog, is also presented. FORE uses ordinary Prolog rules to specify when a business forecasting method is indicated or counterindicated. A small kernel of defeasible metarules controls FORE's final recommendations.<<ETX>>","PeriodicalId":339507,"journal":{"name":"[1988] Proceedings of the Twenty-First Annual Hawaii International Conference on System Sciences. Volume III: Decision Support and Knowledge Based Systems Track","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1988] Proceedings of the Twenty-First 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.1988.11939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
An approach to nonmonotonic reasoning in expert systems is presented that does not rely on numerical probabilities or confidence factors, using instead rules-of-thumb that cover the normal or typical case but are known to have exceptions. A logic for such defeasible rules is implemented in d-Prolog, an extension of Prolog. FORE, a prototype, knowledge-based system written in d-Prolog, is also presented. FORE uses ordinary Prolog rules to specify when a business forecasting method is indicated or counterindicated. A small kernel of defeasible metarules controls FORE's final recommendations.<>