{"title":"论动态系统的“建模科学”一些基本的思想和原则","authors":"C.D. Johnson","doi":"10.1109/SSST.2004.1295680","DOIUrl":null,"url":null,"abstract":"Traditionally, the modeling of (i.e., the creation of mathematical models for) dynamic systems has been more of an art than a science. Today, there is a growing-feeling among scholars in the modeling and simulation community that modeling can, and should, be more scientific in nature. In this paper, a set of fundamental hypotheses and scientific principles are proposed as candidate components for the construction of an effective science of modeling for dynamic systems.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On a 'science of modeling' for dynamic-systems; some fundamental ideas and principles\",\"authors\":\"C.D. Johnson\",\"doi\":\"10.1109/SSST.2004.1295680\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditionally, the modeling of (i.e., the creation of mathematical models for) dynamic systems has been more of an art than a science. Today, there is a growing-feeling among scholars in the modeling and simulation community that modeling can, and should, be more scientific in nature. In this paper, a set of fundamental hypotheses and scientific principles are proposed as candidate components for the construction of an effective science of modeling for dynamic systems.\",\"PeriodicalId\":309617,\"journal\":{\"name\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.2004.1295680\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2004.1295680","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On a 'science of modeling' for dynamic-systems; some fundamental ideas and principles
Traditionally, the modeling of (i.e., the creation of mathematical models for) dynamic systems has been more of an art than a science. Today, there is a growing-feeling among scholars in the modeling and simulation community that modeling can, and should, be more scientific in nature. In this paper, a set of fundamental hypotheses and scientific principles are proposed as candidate components for the construction of an effective science of modeling for dynamic systems.