ARCH-COMP18类别报告:随机建模

ARCH@ADHS Pub Date : 2018-09-17 DOI:10.29007/7ks7
Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, S. Haesaert, A. Hartmanns, Kendra Lesser, Meeko Oishi, Vignesh Sivaramakrishnan, S. Soudjani, Cristian Ioan Vasile, Abraham P. Vinod
{"title":"ARCH-COMP18类别报告:随机建模","authors":"Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, S. Haesaert, A. Hartmanns, Kendra Lesser, Meeko Oishi, Vignesh Sivaramakrishnan, S. Soudjani, Cristian Ioan Vasile, Abraham P. Vinod","doi":"10.29007/7ks7","DOIUrl":null,"url":null,"abstract":"This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2018. In this first edition, we present five benchmarks with different levels of complexities and stochastic favours. We make use of six different tools and frameworks (in alphabetical order): Barrier Certificates, FAUST2, FIRM-GDTL, Modest, SDCPN modelling & MC simulation and SReachTools; and attempt to solve instances of the five different benchmark problems. Through these benchmarks, we capture a snapshot on the current state-of the art tools and frameworks within the stochastic modelling domain. We also present the challenges encountered within this domain and highlight future plans which will push forward the development of more tools and methodologies for performing formal verification and optimal policy synthesis of stochastic processes.","PeriodicalId":236469,"journal":{"name":"ARCH@ADHS","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"ARCH-COMP18 Category Report: Stochastic Modelling\",\"authors\":\"Alessandro Abate, Henk A. P. Blom, Nathalie Cauchi, S. Haesaert, A. Hartmanns, Kendra Lesser, Meeko Oishi, Vignesh Sivaramakrishnan, S. Soudjani, Cristian Ioan Vasile, Abraham P. Vinod\",\"doi\":\"10.29007/7ks7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2018. In this first edition, we present five benchmarks with different levels of complexities and stochastic favours. We make use of six different tools and frameworks (in alphabetical order): Barrier Certificates, FAUST2, FIRM-GDTL, Modest, SDCPN modelling & MC simulation and SReachTools; and attempt to solve instances of the five different benchmark problems. Through these benchmarks, we capture a snapshot on the current state-of the art tools and frameworks within the stochastic modelling domain. We also present the challenges encountered within this domain and highlight future plans which will push forward the development of more tools and methodologies for performing formal verification and optimal policy synthesis of stochastic processes.\",\"PeriodicalId\":236469,\"journal\":{\"name\":\"ARCH@ADHS\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ARCH@ADHS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29007/7ks7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ARCH@ADHS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29007/7ks7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

本报告介绍了随机模型的正式验证和政策综合的友好竞争的结果。该友好竞赛是2018年连续和混合系统(ARCH)应用验证研讨会的一部分。在第一版中,我们提出了五个具有不同复杂程度和随机偏好的基准。我们使用六种不同的工具和框架(按字母顺序排列):屏障证书,FAUST2, FIRM-GDTL, Modest, SDCPN建模和MC仿真以及SReachTools;并尝试解决五个不同基准问题的实例。通过这些基准测试,我们捕捉到随机建模领域内最先进的工具和框架的当前状态的快照。我们还提出了在这一领域遇到的挑战,并强调了未来的计划,这些计划将推动更多工具和方法的发展,以执行随机过程的正式验证和最佳政策综合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ARCH-COMP18 Category Report: Stochastic Modelling
This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. The friendly competition took place as part of the workshop Applied Verification for Continuous and Hybrid Systems (ARCH) in 2018. In this first edition, we present five benchmarks with different levels of complexities and stochastic favours. We make use of six different tools and frameworks (in alphabetical order): Barrier Certificates, FAUST2, FIRM-GDTL, Modest, SDCPN modelling & MC simulation and SReachTools; and attempt to solve instances of the five different benchmark problems. Through these benchmarks, we capture a snapshot on the current state-of the art tools and frameworks within the stochastic modelling domain. We also present the challenges encountered within this domain and highlight future plans which will push forward the development of more tools and methodologies for performing formal verification and optimal policy synthesis of stochastic processes.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信