Past Matters: Supporting LTL+Past in the BLACK Satisfiability Checker

Time Pub Date : 2021-01-01 DOI:10.4230/LIPIcs.TIME.2021.8
Luca Geatti, N. Gigante, A. Montanari, Gabriele Venturato
{"title":"Past Matters: Supporting LTL+Past in the BLACK Satisfiability Checker","authors":"Luca Geatti, N. Gigante, A. Montanari, Gabriele Venturato","doi":"10.4230/LIPIcs.TIME.2021.8","DOIUrl":null,"url":null,"abstract":"LTL+Past is the extension of Linear Temporal Logic (LTL) supporting past temporal operators. The addition of the past does not add expressive power, but does increase the usability of the language both in formal verification and in artificial intelligence, e.g., in the context of multi-agent systems. In this paper, we add the support of past operators to BLACK, a satisfiability checker for LTL based on a SAT encoding of a tree-shaped tableau system. We implement two ways of supporting the past in the tool. The first one is an equisatisfiable translation that removes the past operators, obtaining a future-only formula that can be solved with the original LTL engine. The second one extends the SAT encoding of the underlying tableau to directly support the tableau rules that deal with past operators. We describe both approaches and experimentally compare the two between themselves and with the nuXmv model checker, obtaining promising results. 2012 ACM Subject Classification Theory of computation → Modal and temporal logics","PeriodicalId":75226,"journal":{"name":"Time","volume":"26 1","pages":"8:1-8:17"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Time","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/LIPIcs.TIME.2021.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

LTL+Past is the extension of Linear Temporal Logic (LTL) supporting past temporal operators. The addition of the past does not add expressive power, but does increase the usability of the language both in formal verification and in artificial intelligence, e.g., in the context of multi-agent systems. In this paper, we add the support of past operators to BLACK, a satisfiability checker for LTL based on a SAT encoding of a tree-shaped tableau system. We implement two ways of supporting the past in the tool. The first one is an equisatisfiable translation that removes the past operators, obtaining a future-only formula that can be solved with the original LTL engine. The second one extends the SAT encoding of the underlying tableau to directly support the tableau rules that deal with past operators. We describe both approaches and experimentally compare the two between themselves and with the nuXmv model checker, obtaining promising results. 2012 ACM Subject Classification Theory of computation → Modal and temporal logics
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
过往事项:支持LTL+过往满意度检查
LTL+Past是线性时间逻辑(LTL)的扩展,支持过去时间运算符。过去时态的增加并没有增加表达能力,但确实增加了语言在形式验证和人工智能中的可用性,例如,在多代理系统的上下文中。在本文中,我们在基于树形表系统的SAT编码的LTL可满足性检查器BLACK中增加了对过去算子的支持。我们在工具中实现了两种支持过去的方式。第一个是可均衡的转换,它删除了过去的运算符,获得了一个只能用原始LTL引擎求解的未来公式。第二个扩展了底层表的SAT编码,以直接支持处理过去操作符的表规则。我们描述了这两种方法,并在实验中比较了两者之间的差异,并与nuXmv模型检查器进行了比较,获得了令人满意的结果。2012 ACM学科分类计算理论→模态与时间逻辑
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Early Detection of Temporal Constraint Violations LSCPM: communities in massive real-world Link Streams by Clique Percolation Method Taming Strategy Logic: Non-Recurrent Fragments Realizability Problem for Constraint LTL Logical Forms of Chronicles
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1