{"title":"Petri net modeling-the past, the present, and the future","authors":"Michael K. Molloy","doi":"10.1109/PNPM.1989.68534","DOIUrl":null,"url":null,"abstract":"In the past, Petri net modeling was dominated by the evolution of the model in response to the needs of the applications and problems associated with analyzing the model. The result has been a diverse and confused set of models and notations which hinders new research. New applications are appearing that use the Petri net as the model of choice. By adopting some standards in notation and nomenclature the communication between research groups is enhanced. In addition, by completely dropping redundant models or models with minor variations, the community will be able to obtain a more focused view for further research.<<ETX>>","PeriodicalId":366060,"journal":{"name":"Proceedings of the Third International Workshop on Petri Nets and Performance Models, PNPM89","volume":"1481 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third International Workshop on Petri Nets and Performance Models, PNPM89","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PNPM.1989.68534","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
Abstract
In the past, Petri net modeling was dominated by the evolution of the model in response to the needs of the applications and problems associated with analyzing the model. The result has been a diverse and confused set of models and notations which hinders new research. New applications are appearing that use the Petri net as the model of choice. By adopting some standards in notation and nomenclature the communication between research groups is enhanced. In addition, by completely dropping redundant models or models with minor variations, the community will be able to obtain a more focused view for further research.<>