{"title":"建模与仿真的JAMES II框架","authors":"J. Himmelspach, A. Uhrmacher","doi":"10.1109/HIBI.2009.20","DOIUrl":null,"url":null,"abstract":"JAMES II is a general and open framework based on the “Plug’n simulate” concept, which enables developers to integrate their modeling and simulation methodological ideas into, and to create their applications upon an existing framework.This concept together with currently more than 400 plug-ins,and an explicit representation and storage of experiments ease developing modeling and simulation methods and contribute to a systematic experimental evaluation of methods. Modelers benefit from the flexibility that the framework provides with respect to modeling, simulation, and analysis methods, supporting effective and efficient simulation studies, and the well tested methods add to the credibility of the results achieved.","PeriodicalId":403061,"journal":{"name":"2009 International Workshop on High Performance Computational Systems Biology","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"The JAMES II Framework for Modeling and Simulation\",\"authors\":\"J. Himmelspach, A. Uhrmacher\",\"doi\":\"10.1109/HIBI.2009.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"JAMES II is a general and open framework based on the “Plug’n simulate” concept, which enables developers to integrate their modeling and simulation methodological ideas into, and to create their applications upon an existing framework.This concept together with currently more than 400 plug-ins,and an explicit representation and storage of experiments ease developing modeling and simulation methods and contribute to a systematic experimental evaluation of methods. Modelers benefit from the flexibility that the framework provides with respect to modeling, simulation, and analysis methods, supporting effective and efficient simulation studies, and the well tested methods add to the credibility of the results achieved.\",\"PeriodicalId\":403061,\"journal\":{\"name\":\"2009 International Workshop on High Performance Computational Systems Biology\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Workshop on High Performance Computational Systems Biology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HIBI.2009.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Workshop on High Performance Computational Systems Biology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HIBI.2009.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19
摘要
JAMES II是一个基于“即插即用模拟”概念的通用开放框架,它使开发人员能够将他们的建模和仿真方法思想集成到现有框架中,并在现有框架上创建他们的应用程序。该概念与目前超过400个插件,以及实验的显式表示和存储一起简化了建模和仿真方法的开发,并有助于对方法进行系统的实验评估。建模者受益于框架提供的关于建模、仿真和分析方法的灵活性,支持有效和高效的仿真研究,并且经过良好测试的方法增加了所获得结果的可信度。
The JAMES II Framework for Modeling and Simulation
JAMES II is a general and open framework based on the “Plug’n simulate” concept, which enables developers to integrate their modeling and simulation methodological ideas into, and to create their applications upon an existing framework.This concept together with currently more than 400 plug-ins,and an explicit representation and storage of experiments ease developing modeling and simulation methods and contribute to a systematic experimental evaluation of methods. Modelers benefit from the flexibility that the framework provides with respect to modeling, simulation, and analysis methods, supporting effective and efficient simulation studies, and the well tested methods add to the credibility of the results achieved.