{"title":"定性物理中最小不确定性的建模与仿真","authors":"Sukhan Lee, Judy Chen","doi":"10.1109/TAI.1991.167111","DOIUrl":null,"url":null,"abstract":"A method is presented for automatically generating a set of qualitative constraints as the model of a physical system. It emphasizes (1) the generation of qualitative constraints which provide minimum uncertainty for qualitative simulation, and (2) the generation of mathematical constraints for reducing the uncertainty during qualitative simulation. The first is accomplished by searching for a set of redundant constraints based on fundamental principles and the laws of physics. The second is accomplished by applying mathematical knowledge to generate mathematical constraints which are used as global filters during qualitative simulation.<<ETX>>","PeriodicalId":371778,"journal":{"name":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and simulation for minimum uncertainty in qualitative physics\",\"authors\":\"Sukhan Lee, Judy Chen\",\"doi\":\"10.1109/TAI.1991.167111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method is presented for automatically generating a set of qualitative constraints as the model of a physical system. It emphasizes (1) the generation of qualitative constraints which provide minimum uncertainty for qualitative simulation, and (2) the generation of mathematical constraints for reducing the uncertainty during qualitative simulation. The first is accomplished by searching for a set of redundant constraints based on fundamental principles and the laws of physics. The second is accomplished by applying mathematical knowledge to generate mathematical constraints which are used as global filters during qualitative simulation.<<ETX>>\",\"PeriodicalId\":371778,\"journal\":{\"name\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TAI.1991.167111\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings] Third International Conference on Tools for Artificial Intelligence - TAI 91","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TAI.1991.167111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and simulation for minimum uncertainty in qualitative physics
A method is presented for automatically generating a set of qualitative constraints as the model of a physical system. It emphasizes (1) the generation of qualitative constraints which provide minimum uncertainty for qualitative simulation, and (2) the generation of mathematical constraints for reducing the uncertainty during qualitative simulation. The first is accomplished by searching for a set of redundant constraints based on fundamental principles and the laws of physics. The second is accomplished by applying mathematical knowledge to generate mathematical constraints which are used as global filters during qualitative simulation.<>