{"title":"Knowledge acquisition for knowledge based process control","authors":"N. Shadbolt, R. Stobart","doi":"10.1145/98894.99139","DOIUrl":null,"url":null,"abstract":"In previous papers (Shadbolt, Robinson and Stobart 1989a, 1989b) we have described the way in which process control can benefit from the techniques and methods of knowledge based systems. In Shadbolt et al 1989a we showed how knowledge intensive methods can be incorporated in supervising and automating the control engineering procedures associated with designing, commissioning and running closed loop control. Some of the most influential current approaches to knowledge acquisition conceive of the process as a modelling activity (Morik, 1989). We can regard the use of models as a means of coping with the complexity of the development process. A model reflects, through abstraction of detail, selected characteristics of the object, device or process in the real world that it stands for.","PeriodicalId":175812,"journal":{"name":"Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2","volume":"178 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/98894.99139","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In previous papers (Shadbolt, Robinson and Stobart 1989a, 1989b) we have described the way in which process control can benefit from the techniques and methods of knowledge based systems. In Shadbolt et al 1989a we showed how knowledge intensive methods can be incorporated in supervising and automating the control engineering procedures associated with designing, commissioning and running closed loop control. Some of the most influential current approaches to knowledge acquisition conceive of the process as a modelling activity (Morik, 1989). We can regard the use of models as a means of coping with the complexity of the development process. A model reflects, through abstraction of detail, selected characteristics of the object, device or process in the real world that it stands for.