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We introduce the class of Interrupt Timed Automata (ITA), a subclass of hybrid automata well suited to the description of timed multi-task systems with interruptions in a single processor environment. While the reachability problem is…

形式语言与自动机理论 · 计算机科学 2012-03-30 Béatrice Bérard , Serge Haddad , Mathieu Sassolas

We establish an assume-guarantee (AG) framework for compositional reasoning about multi-objective queries in parametric probabilistic automata (pPA) - an extension to probabilistic automata (PA), where transition probabilities are functions…

计算机科学中的逻辑 · 计算机科学 2025-06-11 Hannah Mertens , Tim Quatmann , Joost-Pieter Katoen

Inference-time alignment provides an efficient alternative for aligning LLMs with humans. However, these approaches still face challenges, such as limited scalability due to policy-specific value functions and latency during the inference…

计算与语言 · 计算机科学 2025-05-27 Ruizhe Chen , Wenhao Chai , Zhifei Yang , Xiaotian Zhang , Joey Tianyi Zhou , Tony Quek , Soujanya Poria , Zuozhu Liu

Correct-by-design synthesis provides a principled framework for establishing formal safety guarantees for stochastic multi-agent systems (MAS). However, conventional approaches based on finite abstractions often incur prohibitive…

系统与控制 · 电气工程与系统科学 2026-04-09 Xinyuan Qiu , Ruohan Wang , Siyuan Liu , Sofie Haesaert

In this work, we consider translating tock-CSP into Timed Automata for UPPAAL to facilitate using UPPAAL in reasoning about temporal specifications of tock-CSP models. The process algebra tock-CSP provides textual notations for modelling…

形式语言与自动机理论 · 计算机科学 2021-04-29 Abdulrazaq Abba , Ana Cavalcanti , Jeremy Jacob

Temporal logics are widely used by the Formal Methods and AI communities. Linear Temporal Logic is a popular temporal logic and is valued for its ease of use as well as its balance between expressiveness and complexity. LTL is equivalent in…

计算机科学中的逻辑 · 计算机科学 2025-07-16 Kevin W. Smith , Moshe Y. Vardi

We address the problem of teaching a deep reinforcement learning (RL) agent to follow instructions in multi-task environments. Instructions are expressed in a well-known formal language -- linear temporal logic (LTL) -- and can specify a…

人工智能 · 计算机科学 2021-07-07 Pashootan Vaezipoor , Andrew Li , Rodrigo Toro Icarte , Sheila McIlraith

Quantitative extensions of temporal logics have recently attracted significant attention. In this work, we study frequency LTL (fLTL), an extension of LTL which allows to speak about frequencies of events along an execution. Such an…

计算机科学中的逻辑 · 计算机科学 2015-09-15 Vojtěch Forejt , Jan Krčál , Jan Křetínský

Many preference elicitation algorithms consider preference over propositional logic formulas or items with different attributes. In sequential decision making, a user's preference can be a preorder over possible outcomes, each of which is a…

人工智能 · 计算机科学 2025-05-26 Hazhar Rahmani , Jie Fu

Ensuring the correctness of critical real-time systems, involving concurrent behaviours and timing requirements, is crucial. Timed automata extend finite-state automata with clocks, compared in guards and invariants with integer constants.…

计算机科学中的逻辑 · 计算机科学 2026-05-06 Étienne André , Didier Lime , Olivier H. Roux

We study O(N) models with power-law interactions by using functional renormalization group methods: we show that both in Local Potential Approximation (LPA) and in LPA' their critical exponents can be computed from the ones of the…

统计力学 · 物理学 2015-11-18 Nicolo Defenu , Andrea Trombettoni , Alessandro Codello

Personalized Large Language Models (PLLMs) aim to align model outputs with individual user preferences, a crucial capability for user-centric applications. However, the prevalent approach of fine-tuning a separate module for each user faces…

计算与语言 · 计算机科学 2025-11-27 Xiaopeng Li , Yuanjin Zheng , Wanyu Wang , wenlin zhang , Pengyue Jia , Yiqi Wang , Maolin Wang , Xuetao Wei , Xiangyu Zhao

We study a variant of LTLf synthesis that synthesizes adaptive strategies for achieving a multi-tier goal, consisting of multiple increasingly challenging LTLf objectives in nondeterministic planning domains. Adaptive strategies are…

人工智能 · 计算机科学 2025-04-30 Giuseppe De Giacomo , Gianmarco Parretti , Shufang Zhu

A key challenge in abstraction-based verification and control under complex specifications such as Linear Temporal Logic (LTL) is that abstract models retain significantly less information than their original systems. This issue is…

系统与控制 · 电气工程与系统科学 2025-09-11 Sasinee Pruekprasert , Clovis Eberhart

Most Vision Language Models (VLMs) directly map outputs from ViT encoders to the LLM via a lightweight projector. While effective, recent analysis suggests this architecture suffers from an alignment challenge: visual features remain…

计算机视觉与模式识别 · 计算机科学 2026-05-18 Tianyu Yu , Kechen Fang , Zihao Wan , Kaidong Zhang , Yicheng Zhang , Jun Song , Bo Zheng , Yuan Yao

Data augmentation is an effective way to diversify corpora in machine translation, but previous methods may introduce semantic inconsistency between original and augmented data because of irreversible operations and random subword sampling…

计算与语言 · 计算机科学 2025-02-21 Jiashu Yao , Heyan Huang , Zeming Liu , Yuhang Guo

In this paper, we propose a procedure that given an integer reset timed automaton (IRTA) ${\cal A}$, produces a language equivalent deterministic one clock IRTA ${\cal B}$ whose size is at most doubly exponential in the size of ${\cal A}$.…

形式语言与自动机理论 · 计算机科学 2010-01-11 Lakshmi Manasa , Krishna. S

In this Ansatz we consider theoretical constructions of RNA polymers into automata, a form of computational structure. The basis for transitions in our automata are plausible RNA enzymes that may perform ligation or cleavage. Limited to…

定量方法 · 定量生物学 2022-05-24 Adam J. Svahn , Mikhail Prokopenko

This paper deals with the control synthesis problem for a continuous nonlinear dynamical system under a Linear Temporal Logic (LTL) formula. The proposed solution is a top-down hierarchical decomposition of the control problem involving…

系统与控制 · 计算机科学 2021-04-09 Pierre-Jean Meyer , Dimos V. Dimarogonas

Conventional test-time adaptation (TTA) approaches typically adapt the model using only a small fraction of test samples, often those with low-entropy predictions, thereby failing to fully leverage the available information in the test…

计算机视觉与模式识别 · 计算机科学 2026-04-21 Nam Nguyen Phuong , Duc Nguyen The Minh , Phi Le Nguyen , Ehsan Abbasnejad , Minh Hoai
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