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相关论文: A Note on the Expressiveness of BIP

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We study two notions of expressiveness, which have appeared in abstraction theory for model checking, and find them incomparable in general. In particular, we show that according to the most widely used notion, the class of Kripke Modal…

计算机科学中的逻辑 · 计算机科学 2012-08-15 Maciej Gazda , Tim A. C. Willemse

We analyse the expressiveness of the two-valued semantics of abstract argumentation frameworks, normal logic programs and abstract dialectical frameworks. By expressiveness we mean the ability to encode a desired set of two-valued…

人工智能 · 计算机科学 2014-05-06 Hannes Strass

The recent approaches of extending the GRAPHPLAN algorithm to handle more expressive planning formalisms raise the question of what the formal meaning of "expressive power" is. We formalize the intuition that expressive power is a measure…

人工智能 · 计算机科学 2011-06-02 B. Nebel

The Behavior-Interaction-Priority (BIP) framework, rooted in rigorous semantics, allows the construction of systems that are correct-by-design. BIP has been effectively used for the construction and analysis of large systems such as robot…

软件工程 · 计算机科学 2019-11-20 Anastasia Mavridou , Joseph Sifakis , Janos Sztipanovits

The Behavior-Interaction-Priority (BIP) framework, rooted in rigorous semantics, allows the construction of systems that are correct-by-design. BIP has been effectively used for the construction and analysis of large systems such as robot…

软件工程 · 计算机科学 2018-06-04 Anastasia Mavridou , Joseph Sifakis , Janos Sztipanovits

Modelling qualitative uncertainty in formal argumentation is essential both for practical applications and theoretical understanding. Yet, most of the existing works focus on \textit{abstract} models for arguing with uncertainty. Following…

人工智能 · 计算机科学 2026-02-18 Carlo Proietti , Antonio Yuste-Ginel

In this work, we broaden the investigation of admissibility notions in the context of assumption-based argumentation (ABA). More specifically, we study two prominent alternatives to the standard notion of admissibility from abstract…

人工智能 · 计算机科学 2025-08-18 Matti Berthold , Lydia Blümel , Anna Rapberger

We consider the problem of learning optimal binary classification trees. Literature on the topic has burgeoned in recent years, motivated both by the empirical suboptimality of heuristic approaches and the tremendous improvements in…

机器学习 · 统计学 2020-05-14 Sina Aghaei , Andres Gomez , Phebe Vayanos

We give a polymorphic account of the relational algebra. We introduce a formalism of ``type formulas'' specifically tuned for relational algebra expressions, and present an algorithm that computes the ``principal'' type for a given…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Jan Van den Bussche , Emmanuel Waller

We define a method to modularize crosscutting concerns in Component-Based Systems (CBSs) expressed using the Behavior Interaction Priority (BIP) framework. Our method is inspired from the Aspect Oriented Programming (AOP) paradigm which was…

软件工程 · 计算机科学 2018-05-23 Antoine El-Hokayem , Yliès Falcone , Mohamad Jaber

In this note we show that no extension of bi-intuitionistic logic, except for classical logic, is structurally complete; indeed, none of them are passively structurally complete. A direct proof of active structural completeness is given for…

逻辑 · 数学 2025-08-11 Rodrigo Nicolau Almeida , Nick Bezhanishvili

NLP models often rely on superficial cues known as dataset biases to achieve impressive performance, and can fail on examples where these biases do not hold. Recent work sought to develop robust, unbiased models by filtering biased examples…

计算与语言 · 计算机科学 2023-05-31 Yuval Reif , Roy Schwartz

Programming benefits from a clear separation between pure, mathematical computation and impure, effectful interaction with the world. Existing approaches to enforce this separation include monads, type-and-effect systems, and capability…

编程语言 · 计算机科学 2025-10-10 Yuyan Bao , Tiark Rompf

In computer science, various logical languages are defined to analyze properties of systems. One way to pinpoint the essential differences between those logics is to compare their expressivity in terms of distinguishing power and expressive…

计算机科学中的逻辑 · 计算机科学 2009-05-28 Yanjing Wang , Francien Dechesne

A modal logic that is strong enough to fully characterize the behavior of a system is called expressive. Recently, with the growing diversity of systems to be reasoned about (probabilistic, cyber-physical, etc.), the focus shifted to…

计算机科学中的逻辑 · 计算机科学 2021-05-24 Yuichi Komorida , Shin-ya Katsumata , Clemens Kupke , Jurriaan Rot , Ichiro Hasuo

We revisit evaluation of logical formulas that allow both uninterpreted relations, constrained to be finite, as well as an interpreted vocabulary over an infinite domain. This formalism was denoted embedded finite model theory in the past.…

计算机科学中的逻辑 · 计算机科学 2024-05-22 Michael Benedikt , Ehud Hrushovski

Compositionality is thought to be a key component of language, and various compositional benchmarks have been developed to empirically probe the compositional generalization of existing sequence processing models. These benchmarks often…

机器学习 · 计算机科学 2024-05-07 Parikshit Ram , Tim Klinger , Alexander G. Gray

We consider dynamic versions of epistemic logic as formulated in Baltag and Moss "Logics for epistemic programs" (2004). That paper proposed a logical language (actually families of languages parameterized by action signatures) for dynamic…

计算机科学中的逻辑 · 计算机科学 2022-03-15 Alexandru Baltag , Lawrence S. Moss , Slawomir Solecki

In this paper we investigate the complexity of abduction, a fundamental and important form of non-monotonic reasoning. Given a knowledge base explaining the world's behavior it aims at finding an explanation for some observed manifestation.…

计算复杂性 · 计算机科学 2010-06-28 Nadia Creignou , Johannes Schmidt , Michael Thomas

We model here an epistemic bias we call \textit{interpretive blindness} (IB). IB is a special problem for learning from testimony, in which one acquires information only from text or conversation. We show that IB follows from a…

人工智能 · 计算机科学 2021-11-02 Nicholas Asher , Julie Hunter
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