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In this paper we introduce Epistemic Strategy Logic (ESL), an extension of Strategy Logic with modal operators for individual knowledge. This enhanced framework allows us to represent explicitly and to reason about the knowledge agents have…

Logic in Computer Science · Computer Science 2014-04-04 Francesco Belardinelli

One of the most common mistakes made when performing data analysis is attributing causal meaning to regression coefficients. Formally, a causal effect can only be computed if it is identifiable from a combination of observational data and…

Artificial Intelligence · Computer Science 2019-10-31 Daniel Kumor , Bryant Chen , Elias Bareinboim

This paper provides an NP procedure that decides whether a linear-exponential system of constraints has an integer solution. Linear-exponential systems extend standard integer linear programs with exponential terms $2^x$ and remainder terms…

Logic in Computer Science · Computer Science 2024-07-10 Dmitry Chistikov , Alessio Mansutti , Mikhail R. Starchak

Bi-intuitionistic logic is the extension of intuitionistic logic with a connective dual to implication. Bi-intuitionistic logic was introduced by Rauszer as a Hilbert calculus with algebraic and Kripke semantics. But her subsequent…

Logic in Computer Science · Computer Science 2007-05-23 Linda Buisman , Rajeev Goré

The ability to predict the behavior of a wireless channel in terms of the frame delivery ratio is quite valuable, and permits, e.g., to optimize the operating parameters of a wireless network at runtime, or to proactively react to the…

Networking and Internet Architecture · Computer Science 2023-12-14 Gabriele Formis , Stefano Scanzio , Gianluca Cena , Adriano Valenzano

We examine some combinatorial properties of parallel cut elimination in multiplicative linear logic (MLL) proof nets. We show that, provided we impose a constraint on some paths, we can bound the size of all the nets satisfying this…

Logic in Computer Science · Computer Science 2023-06-22 Jules Chouquet , Lionel Vaux Auclair

In this paper, we propose a novel approach for tackling the obstacles of empirical likelihood in the face of massive data, which is called split sample mean empirical likelihood (SSMEL), our approach provides a unique perspective for…

Methodology · Statistics 2023-06-07 Yang Liu , Xia Chen , Wei-min Yang

Recently, many studies have increasingly explored the use of large language models (LLMs) to generate research ideas and scientific hypotheses. However, real-world research and development often require solving complex, interdisciplinary…

Computation and Language · Computer Science 2025-01-03 Hikari Tomita , Nobuhiro Nakamura , Shoichi Ishida , Toshio Kamiya , Kei Terayama

Large Language Models (LLMs) have demonstrated impressive capabilities in language generation and general task performance. However, their application to spoken language understanding (SLU) remains challenging, particularly for token-level…

Computation and Language · Computer Science 2025-10-09 Shangjian Yin , Peijie Huang , Jiatian Chen , Haojing Huang , Yuhong Xu

Regression with a spherical response is challenging due to the absence of linear structure, making standard regression models inadequate. Existing methods, mainly parametric, lack the flexibility to capture the complex relationship induced…

Methodology · Statistics 2025-04-01 Houren Hong , Janice L. Scealy , Andrew T. A. Wood , Yanrong Yang

The paper presents a cut-elimination procedure for intuitionistic propositional logic in which cut is eliminated directly, without introducing the multiple-cut rule mix, and in which pushing cut above contraction is one of the reduction…

Logic · Mathematics 2007-05-23 Mirjana Borisavljevic , Kosta Dosen , Zoran Petric

Bi-intuitionistic logic is the conservative extension of intuitionistic logic with a connective dual to implication. It is sometimes presented as a symmetric constructive subsystem of classical logic. In this paper, we compare three sequent…

Logic in Computer Science · Computer Science 2011-01-31 Luís Pinto , Tarmo Uustalu

We present a theoretical analysis and empirical evaluations of a novel set of techniques for computational cost reduction of test time operations of network classifiers based on extreme learning machine (ELM). By exploring some…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Emerson Lopes Machadoa , Cristiano Jacques Miosso , Ricardo Pezzuol Jacobi

Cut-elimination is one of the most famous problems in proof theory, and it was defined and solved for first-order sequent calculus by Gentzen in his celebrated Hauptsatz. Ceres is a different cut-elimination algorithm for first- and…

Logic in Computer Science · Computer Science 2017-01-20 Andrea Condoluci

In this paper, we use a new method to prove cut-elimination of weak intuitionistic tense logic. This method focuses on splitting the contraction rule and cut rules. Further general theories and applications of this method shall be developed…

Logic · Mathematics 2024-05-28 Yiheng Wang , Yu Peng , Zhe Lin

We address the problem of minimizing a quadratic function subject to linear constraints over binary variables. We introduce the exact solution method called EXPEDIS where the constrained problem is transformed into a max-cut instance, and…

Optimization and Control · Mathematics 2022-04-12 Nicolo Gusmeroli , Angelika Wiegele

While the $\mu$-calculus notoriously subsumes Alternating-time Temporal Logic (ATL), we show that the epistemic $\mu$-calculus does not subsume ATL with imperfect information (ATL$_i$) for the synchronous perfect-recall semantics. To prove…

Logic in Computer Science · Computer Science 2014-07-22 Cătălin Dima , Bastien Maubert , Sophie Pinchinat

It is well known that (timed) $\omega$-regular properties such as `p holds at every even position' and `p occurs at least three times within the next 10 time units' cannot be expressed in Metric Interval Temporal Logic ($\mathsf{MITL}$) and…

Logic in Computer Science · Computer Science 2018-12-27 Hsi-Ming Ho

Pre-trained language models in the past years have shown exponential growth in model parameters and compute time. ELECTRA is a novel approach for improving the compute efficiency of pre-trained language models (e.g. BERT) based on masked…

Computation and Language · Computer Science 2021-10-14 Junmo Kang , Suwon Shin , Jeonghwan Kim , Jaeyoung Jo , Sung-Hyon Myaeng

The evaluation of a matrix exponential function is a classic problem of computational linear algebra. Many different methods have been employed for its numerical evaluation [Moler C and van Loan C 1978 SIAM Review 20 4], none of which…

Mathematical Physics · Physics 2008-11-18 D H Gebremedhin , C A Weatherford , X Zhang , A Wynn , G Tanaka
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