{"title":"机器学习如何支持建模和仿真的实践?——综述与未来研究方向","authors":"Mahmoud Elbattah","doi":"10.1109/DS-RT47707.2019.8958703","DOIUrl":null,"url":null,"abstract":"The use of Machine Learning (ML) has achieved a significant momentum across a very wide range of domains. This paper aims to provide a meeting point for discussing the integration of Modeling and Simulation (M&S) with ML. The discussion presents arguments in favour of why and how the M&S practice can avail of ML in different modalities. In this context, the paper reviews key studies published over the past 6 years in main venues including Winter Simulation Conference, SIGSIM PADS, and DS-RT. Further aspects are discussed, which could help reinforce the utilisation of ML in the M&S arena. In general, the study is conceived to foster the presentation of potential ideas and speculative directions towards availing of data-driven knowledge provided by ML.","PeriodicalId":377914,"journal":{"name":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"How can Machine Learning Support the Practice of Modeling and Simulation? —A Review and Directions for Future Research\",\"authors\":\"Mahmoud Elbattah\",\"doi\":\"10.1109/DS-RT47707.2019.8958703\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The use of Machine Learning (ML) has achieved a significant momentum across a very wide range of domains. This paper aims to provide a meeting point for discussing the integration of Modeling and Simulation (M&S) with ML. The discussion presents arguments in favour of why and how the M&S practice can avail of ML in different modalities. In this context, the paper reviews key studies published over the past 6 years in main venues including Winter Simulation Conference, SIGSIM PADS, and DS-RT. Further aspects are discussed, which could help reinforce the utilisation of ML in the M&S arena. In general, the study is conceived to foster the presentation of potential ideas and speculative directions towards availing of data-driven knowledge provided by ML.\",\"PeriodicalId\":377914,\"journal\":{\"name\":\"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)\",\"volume\":\"205 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DS-RT47707.2019.8958703\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DS-RT47707.2019.8958703","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
How can Machine Learning Support the Practice of Modeling and Simulation? —A Review and Directions for Future Research
The use of Machine Learning (ML) has achieved a significant momentum across a very wide range of domains. This paper aims to provide a meeting point for discussing the integration of Modeling and Simulation (M&S) with ML. The discussion presents arguments in favour of why and how the M&S practice can avail of ML in different modalities. In this context, the paper reviews key studies published over the past 6 years in main venues including Winter Simulation Conference, SIGSIM PADS, and DS-RT. Further aspects are discussed, which could help reinforce the utilisation of ML in the M&S arena. In general, the study is conceived to foster the presentation of potential ideas and speculative directions towards availing of data-driven knowledge provided by ML.