TimePub Date : 2022-01-01DOI: 10.4230/LIPIcs.TIME.2022.13
G. Pagliarini, Simone Scaboro, Giuseppe Serra, G. Sciavicco, Eduard Ionel Stan
{"title":"Neural-Symbolic Temporal Decision Trees for Multivariate Time Series Classification","authors":"G. Pagliarini, Simone Scaboro, Giuseppe Serra, G. Sciavicco, Eduard Ionel Stan","doi":"10.4230/LIPIcs.TIME.2022.13","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2022.13","url":null,"abstract":"Multivariate time series classification is a widely known problem, and its applications are ubiquitous. Due to their strong generalization capability, neural networks have been proven to be very powerful for the task, but their applicability is often limited by their intrinsic black-box nature. Recently, temporal decision trees have been shown to be a serious alternative to neural networks for the same task in terms of classification performances, while attaining higher levels of transparency and interpretability. In this work, we propose an initial approach to neural-symbolic temporal decision trees, that is, an hybrid method that leverages on both the ability of neural networks of capturing temporal patterns and the flexibility of temporal decision trees of taking decisions on intervals based on (possibly, externally computed) temporal features. While based on a proof-of-concept implementation, in our experiments on public datasets, neural-symbolic temporal decision trees show promising results. .","PeriodicalId":75226,"journal":{"name":"Time","volume":"5 1","pages":"13:1-13:15"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87036100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2022-01-01DOI: 10.4230/LIPIcs.TIME.2022.3
Stijn Vansummeren
{"title":"Getting to the CORE of Complex Event Recognition (Invited Talk)","authors":"Stijn Vansummeren","doi":"10.4230/LIPIcs.TIME.2022.3","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2022.3","url":null,"abstract":"In this talk, I will give an overview of our recent work on complex event recognition. 2012 ACM Subject Classification Information systems → Query languages for non-relational engines; Information systems → Stream management; Theory of computation → Formal languages and automata theory Abstract Complex Event Recognition (CER for short) refers to the activity of processing high-velocity streams of primitive events by evaluating queries that detect complex events : collections of primitive events that satisfy some pattern. In particular, CER queries match incoming events on the basis of their content; where they occur in the input stream; and how this order relates to other events in the stream. CER has been successfully applied in diverse domains such as maritime monitoring, network intrusion detection, industrial control systems and real-time analytics, among others. In this talk, I will survey our recent work on developing a formal framework for specifying and evaluating CER queries. This framework consist of a formal, core query language called Complex Event Logic (CEL) for specifying CER queries [4]. In contrast to previous proposals, CEL has a compositional and denotational semantics, and encompasses all operators that are considered “common base operators” in the literature. Using CEL, we have been able to get a better understanding of the relative expressiveness of these operators as well as the impact of common evaluation heuristics such as selection policies The framework also consists of an formal computational for CEL,","PeriodicalId":75226,"journal":{"name":"Time","volume":"101 1","pages":"3:1-3:2"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77365568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2022-01-01DOI: 10.4230/LIPIcs.TIME.2022.9
N. Peltier
{"title":"Reasoning on Dynamic Transformations of Symbolic Heaps","authors":"N. Peltier","doi":"10.4230/LIPIcs.TIME.2022.9","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2022.9","url":null,"abstract":"Building on previous results concerning the decidability of the satisfiability and entailment problems for separation logic formulas with inductively defined predicates, we devise a proof procedure to reason on dynamic transformations of memory heaps. The initial state of the system is described by a separation logic formula of some particular form, its evolution is modeled by a finite transition system and the expected property is given as a linear temporal logic formula built over assertions in separation logic.","PeriodicalId":75226,"journal":{"name":"Time","volume":"16 1","pages":"9:1-9:20"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91115496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2021-10-01DOI: 10.2307/j.ctv1zjgbcm.11
{"title":"Sick and Tired:","authors":"","doi":"10.2307/j.ctv1zjgbcm.11","DOIUrl":"https://doi.org/10.2307/j.ctv1zjgbcm.11","url":null,"abstract":"","PeriodicalId":75226,"journal":{"name":"Time","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68799904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2021-01-01DOI: 10.4230/LIPIcs.TIME.2021.15
Tomás Ribeiro, Oscar Lima, Michael Cashmore, A. Micheli, R. Ventura
{"title":"Olisipo: A Probabilistic Approach to the Adaptable Execution of Deterministic Temporal Plans","authors":"Tomás Ribeiro, Oscar Lima, Michael Cashmore, A. Micheli, R. Ventura","doi":"10.4230/LIPIcs.TIME.2021.15","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2021.15","url":null,"abstract":"The robust execution of a temporal plan in a perturbed environment is a problem that remains to be solved. Perturbed environments, such as the real world, are non-deterministic and filled with uncertainty. Hence, the execution of a temporal plan presents several challenges and the employed solution often consists of replanning when the execution fails. In this paper, we propose a novel algorithm, named Olisipo, which aims to maximise the probability of a successful execution of a temporal plan in perturbed environments. To achieve this, a probabilistic model is used in the execution of the plan, instead of in the building of the plan. This approach enables Olisipo to dynamically adapt the plan to changes in the environment. In addition to this, the execution of the plan is also adapted to the probability of successfully executing each action. Olisipo was compared to a simple dispatcher and it was shown that it consistently had a higher probability of successfully reaching a goal state in uncertain environments, performed fewer replans and also executed fewer actions. Hence, Olisipo offers a substantial improvement in performance for disturbed environments. 2012 ACM Subject Classification Computing methodologies → Robotic planning","PeriodicalId":75226,"journal":{"name":"Time","volume":"4 1","pages":"15:1-15:15"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74550069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2021-01-01DOI: 10.4230/LIPIcs.TIME.2021.10
V. Ryzhikov, Yury Savateev, M. Zakharyaschev
{"title":"Deciding FO-Rewritability of Ontology-Mediated Queries in Linear Temporal Logic","authors":"V. Ryzhikov, Yury Savateev, M. Zakharyaschev","doi":"10.4230/LIPIcs.TIME.2021.10","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2021.10","url":null,"abstract":"11 Our concern is the problem of determining the data complexity of answering an ontology-mediated 12 query (OMQ) given in linear temporal logic LTL over ( Z , < ) and deciding whether it is rewritable to an 13 FO ( < )-query, possibly with extra predicates. First, we observe that, in line with the circuit complexity 14 and FO-definability of regular languages, OMQ answering in AC 0 , ACC 0 and NC 1 coincides 15 with FO ( <, ≡ )-rewritability using unary predicates x ≡ 0 (mod n ), FO ( <, MOD )-rewritability, and 16 FO ( RPR )-rewritability using relational primitive recursion, respectively. We then show that deciding 17 FO ( < )-, FO ( <, ≡ )- and FO ( <, MOD )-rewritability of LTL OMQs is ExpSpace -complete, and that 18 these problems become PSpace -complete for OMQs with a linear Horn ontology and an atomic 19 query, and also a positive query in the cases of FO ( < )- and FO ( <, ≡ )-rewritability. Further, we 20 consider FO ( < )-rewritability of OMQs with a binary-clause ontology and identify OMQ classes, for 21 which deciding it is PSpace -, Π p 2 - and coNP -complete. 22","PeriodicalId":75226,"journal":{"name":"Time","volume":"49 1","pages":"10:1-10:15"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81638264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2021-01-01DOI: 10.4230/LIPIcs.TIME.2021.11
Gianluca Apriceno, Andrea Passerini, L. Serafini
{"title":"A Neuro-Symbolic Approach to Structured Event Recognition","authors":"Gianluca Apriceno, Andrea Passerini, L. Serafini","doi":"10.4230/LIPIcs.TIME.2021.11","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2021.11","url":null,"abstract":"","PeriodicalId":75226,"journal":{"name":"Time","volume":"15 1","pages":"11:1-11:14"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82341120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TimePub Date : 2021-01-01DOI: 10.4230/LIPIcs.TIME.2021.1
Luke Hunsberger, Roberto Posenato
{"title":"Simple Temporal Networks: A Practical Foundation for Temporal Representation and Reasoning (Invited Talk)","authors":"Luke Hunsberger, Roberto Posenato","doi":"10.4230/LIPIcs.TIME.2021.1","DOIUrl":"https://doi.org/10.4230/LIPIcs.TIME.2021.1","url":null,"abstract":"Since Simple Temporal Networks (STNs) were first introduced in 1991, there have been numerous theoretic and algorithmic advances that have made them practical for a wide variety of applications. However, the presentation of most of the important advances have been scattered across numerous conference papers and journal articles. As a result, it is too easy for even experienced researchers to be unaware of results that could positively impact their work. In this talk we review the most important results about STNs for researchers in Artificial Intelligence who are interested in incorporating the management of time and temporal constraints into their projects. 2012 ACM Subject Classification Computing methodologies → Temporal reasoning; Theory of computation → Network optimization; Theory of computation → Dynamic graph algorithms; Mathematics of computing → Graph algorithms","PeriodicalId":75226,"journal":{"name":"Time","volume":"1 1","pages":"1:1-1:5"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76903399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}