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In this paper, we propose Probabilistic discrete-time Projection Temporal Logic (PrPTL), which extends Projection Temporal Logic (PTL) with probability. To this end, some useful formulas are derived and some logic laws are given. Further,…

计算机科学中的逻辑 · 计算机科学 2015-03-17 Xiaoxiao Yang

Program transformations are widely used in synthesis, optimization, and maintenance of software. Correctness of program transformations depends on preservation of some important properties of the input program. By regarding programs as…

计算机科学中的逻辑 · 计算机科学 2012-09-25 Aditya Kanade , Amitabha Sanyal , Uday P. Khedker

A specification given as a formula in linear temporal logic (LTL) defines a system by its set of traces. However, certain features such as information flow security constraints are rather modeled as so-called hyperproperties, which are sets…

计算机科学中的逻辑 · 计算机科学 2020-04-28 Martin Lück

In this note, a formal transition system model called LTPAL to extract knowledge in a classification process is suggested. The model combines the Public Announcement Logic (PAL) and the Linear Temporal Logic (LTL). In the model, first, we…

人工智能 · 计算机科学 2022-05-25 Amirhoshang Hoseinpour Dehkordi , Majid Alizadeh , Ali Movaghar

Linear temporal logic was introduced in order to reason about reactive systems. It is often considered with respect to infinite words, to specify the behaviour of long-running systems. One can consider more general models for linear time,…

计算机科学中的逻辑 · 计算机科学 2011-01-11 Julien Cristau

Model checking allows one to automatically verify a specification of the expected properties of a system against a formal model of its behaviour (generally, a Kripke structure). Point-based temporal logics, such as LTL, CTL, and CTL*, that…

计算机科学中的逻辑 · 计算机科学 2019-02-07 Alberto Molinari , Angelo Montanari , Adriano Peron

Linear Temporal Logic (LTL) is the standard specification language for reactive systems and is successfully applied in industrial settings. However, many shortcomings of LTL have been identified in the literature, among them the limited…

计算机科学中的逻辑 · 计算机科学 2019-09-19 Daniel Neider , Alexander Weinert , Martin Zimmermann

Linear temporal logic (LTL) is a compelling framework for specifying complex, structured tasks for reinforcement learning (RL) agents. Recent work has shown that interpreting LTL instructions as finite automata, which can be seen as…

人工智能 · 计算机科学 2025-12-03 Mattia Giuri , Mathias Jackermeier , Alessandro Abate

We propose LeanLTL, a unifying framework for linear temporal logics in Lean 4. LeanLTL supports reasoning about traces that represent either infinite or finite linear time. The library allows traditional LTL syntax to be combined with…

计算机科学中的逻辑 · 计算机科学 2025-07-03 Eric Vin , Kyle A. Miller , Daniel J. Fremont

In this note we consider the problem of introducing variables in temporal logic programs under the formalism of "Temporal Equilibrium Logic" (TEL), an extension of Answer Set Programming (ASP) for dealing with linear-time modal operators.…

人工智能 · 计算机科学 2016-09-20 Felicidad Aguado , Pedro Cabalar , Martín Diéguez , Gilberto Pérez , Concepción Vidal

Metric Temporal Logic (MTL) is a prominent specification formalism for real-time systems. In this paper, we show that the satisfiability problem for MTL over finite timed words is decidable, with non-primitive recursive complexity. We also…

计算机科学中的逻辑 · 计算机科学 2017-01-11 Joel Ouaknine , James Worrell

Many automated planning methods and formulations rely on suitably designed abstractions or simplifications of the constrained dynamics associated with agents to attain computational scalability. We consider formulations of temporal planning…

计算机科学中的逻辑 · 计算机科学 2024-06-17 Miquel Ramirez , Anubhav Singh , Peter Stuckey , Chris Manzie

Linear Temporal Logic (LTL) is a widely used task specification language for autonomous systems. To mitigate the significant manual effort and expertise required to define LTL-encoded tasks, several methods have been proposed for…

计算与语言 · 计算机科学 2026-02-23 David Smith Sundarsingh , Jun Wang , Jyotirmoy V. Deshmukh , Yiannis Kantaros

A class of interval-based temporal languages for uniformly representing and reasoning about actions and plans is presented. Actions are represented by describing what is true while the action itself is occurring, and plans are constructed…

人工智能 · 计算机科学 2011-05-30 A. Artale , E. Franconi

Tool use, such as web search, has become a standard capability even in freely available large language models (LLMs). However, existing benchmarks evaluate temporal reasoning mainly in static, non-tool-using settings, which poorly reflect…

计算与语言 · 计算机科学 2026-03-24 Zhengxiang Wang , Zeyu Dong

Large Language Models (LLMs) have shown remarkable ability in solving complex tasks, making them a promising tool for enhancing tabular learning. However, existing LLM-based methods suffer from high resource requirements, suboptimal…

机器学习 · 计算机科学 2025-05-12 Ruxue Shi , Hengrui Gu , Xu Shen , Xin Wang

Large Language Models (LLMs) increasingly rely on long-form, multi-step reasoning to solve complex tasks such as mathematical problem solving and scientific question answering. Despite strong performance, existing confidence estimation…

Temporal stream logic (TSL) extends LTL with updates and predicates over arbitrary function terms. This allows for specifying data-intensive systems for which LTL is not expressive enough. In the semantics of TSL, functions and predicates…

计算机科学中的逻辑 · 计算机科学 2022-01-26 Bernd Finkbeiner , Philippe Heim , Noemi Passing

Temporal logic is an important tool for specifying complex behaviors of systems. It can be used to define properties for verification and monitoring, as well as goals for synthesis tools, allowing users to specify rich missions and tasks.…

计算机科学中的逻辑 · 计算机科学 2023-10-16 Gustavo A. Cardona , Kevin Leahy , Makai Mann , Cristian-Ioan Vasile

Our manuscript studies linear temporal (with UNTIL and NEXT) logic based at a conception of intransitive time. non-transitive time. In particular, we demonstrate how the notion of knowledge might be represented in such a framework (here we…

计算机科学中的逻辑 · 计算机科学 2015-03-31 Vladimir Rybakov