{"title":"关于信息系统语义:专家vs.决策支持系统","authors":"R.M. Lee","doi":"10.1016/0143-6236(85)90002-X","DOIUrl":null,"url":null,"abstract":"<div><p>AI will surely have an important impact on the management of future organizations. The problem now is to make some reasonable assessment of its promise and limitations, in order to direct research and development. Here we examine what an ‘ideal’ knowledge-based management information system could and could not do. The arguments are based on considerations of formal semantics.</p></div>","PeriodicalId":85535,"journal":{"name":"Social science information studies : SSIS","volume":"5 1","pages":"Pages 3-10"},"PeriodicalIF":0.0000,"publicationDate":"1985-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0143-6236(85)90002-X","citationCount":"3","resultStr":"{\"title\":\"On information system semantics: Expert vs. decision support systems\",\"authors\":\"R.M. Lee\",\"doi\":\"10.1016/0143-6236(85)90002-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>AI will surely have an important impact on the management of future organizations. The problem now is to make some reasonable assessment of its promise and limitations, in order to direct research and development. Here we examine what an ‘ideal’ knowledge-based management information system could and could not do. The arguments are based on considerations of formal semantics.</p></div>\",\"PeriodicalId\":85535,\"journal\":{\"name\":\"Social science information studies : SSIS\",\"volume\":\"5 1\",\"pages\":\"Pages 3-10\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1985-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/0143-6236(85)90002-X\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Social science information studies : SSIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/014362368590002X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social science information studies : SSIS","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/014362368590002X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On information system semantics: Expert vs. decision support systems
AI will surely have an important impact on the management of future organizations. The problem now is to make some reasonable assessment of its promise and limitations, in order to direct research and development. Here we examine what an ‘ideal’ knowledge-based management information system could and could not do. The arguments are based on considerations of formal semantics.
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