{"title":"决策支持系统中基于交互计划的模型集成方法","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":"{\"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}","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}
An interactive plan-based procedure for model integration in DSS
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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