{"title":"多尺度系统的信息导向观点","authors":"A. Diaconescu, L. Felice, P. Mellodge","doi":"10.1109/ACSOS-C52956.2021.00049","DOIUrl":null,"url":null,"abstract":"Multi-scale configurations are essential for dealing with system complexity. Yet, a theory for facilitating their cross-domain implementation is missing. We set the basis for such theory, by demystifying the core concepts of ‘scale’ and ‘multi-scale’ from an information perspective. In this view, we define and apply information abstraction entropy as a measure to assess and compare system scales.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An Information-oriented View of Multi-Scale Systems\",\"authors\":\"A. Diaconescu, L. Felice, P. Mellodge\",\"doi\":\"10.1109/ACSOS-C52956.2021.00049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multi-scale configurations are essential for dealing with system complexity. Yet, a theory for facilitating their cross-domain implementation is missing. We set the basis for such theory, by demystifying the core concepts of ‘scale’ and ‘multi-scale’ from an information perspective. In this view, we define and apply information abstraction entropy as a measure to assess and compare system scales.\",\"PeriodicalId\":268224,\"journal\":{\"name\":\"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSOS-C52956.2021.00049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSOS-C52956.2021.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Information-oriented View of Multi-Scale Systems
Multi-scale configurations are essential for dealing with system complexity. Yet, a theory for facilitating their cross-domain implementation is missing. We set the basis for such theory, by demystifying the core concepts of ‘scale’ and ‘multi-scale’ from an information perspective. In this view, we define and apply information abstraction entropy as a measure to assess and compare system scales.