{"title":"使用 Bigraphs 建立实用模型","authors":"Blair Archibald, Muffy Calder, Michele Sevegnani","doi":"arxiv-2405.20745","DOIUrl":null,"url":null,"abstract":"Bigraphs are a versatile modelling formalism that allows easy expression of\nplacement and connectivity relations in a graphical format. System evolution is\nuser defined as a set of rewrite rules. This paper presents a practical, yet\ndetailed guide to developing, executing, and reasoning about bigraph models,\nincluding recent extensions such as parameterised, instantaneous, prioritised\nand conditional rules, and probabilistic and stochastic rewriting.","PeriodicalId":501033,"journal":{"name":"arXiv - CS - Symbolic Computation","volume":"3 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical Modelling with Bigraphs\",\"authors\":\"Blair Archibald, Muffy Calder, Michele Sevegnani\",\"doi\":\"arxiv-2405.20745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bigraphs are a versatile modelling formalism that allows easy expression of\\nplacement and connectivity relations in a graphical format. System evolution is\\nuser defined as a set of rewrite rules. This paper presents a practical, yet\\ndetailed guide to developing, executing, and reasoning about bigraph models,\\nincluding recent extensions such as parameterised, instantaneous, prioritised\\nand conditional rules, and probabilistic and stochastic rewriting.\",\"PeriodicalId\":501033,\"journal\":{\"name\":\"arXiv - CS - Symbolic Computation\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Symbolic Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.20745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Symbolic Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.20745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bigraphs are a versatile modelling formalism that allows easy expression of
placement and connectivity relations in a graphical format. System evolution is
user defined as a set of rewrite rules. This paper presents a practical, yet
detailed guide to developing, executing, and reasoning about bigraph models,
including recent extensions such as parameterised, instantaneous, prioritised
and conditional rules, and probabilistic and stochastic rewriting.