{"title":"An interactive plan-based procedure for model integration in DSS","authors":"M. I. Bu-Hulaiga, H. Jain","doi":"10.1109/HICSS.1988.11937","DOIUrl":null,"url":null,"abstract":"A data structure for model representation and a novel technique for model manipulation are presented. The representation is a hierarchical one that represents the vital details of a model unit and their respective (input and output parameters and preconditions. The manipulation technique is based on the planning paradigm of artificial intelligence (AI). Two levels of manipulation are relevant: model planning and meta-model-planning. The former is responsible for selecting and sequencing model units to satisfy a decision-problem at hand. The latter deals with extraordinary situations in which a replanning effort needs to be undertaken. The approach is implemented on a Lisp machine.<<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":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","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.1988.11937","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
A data structure for model representation and a novel technique for model manipulation are presented. The representation is a hierarchical one that represents the vital details of a model unit and their respective (input and output parameters and preconditions. The manipulation technique is based on the planning paradigm of artificial intelligence (AI). Two levels of manipulation are relevant: model planning and meta-model-planning. The former is responsible for selecting and sequencing model units to satisfy a decision-problem at hand. The latter deals with extraordinary situations in which a replanning effort needs to be undertaken. The approach is implemented on a Lisp machine.<>
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