中文
相关论文

相关论文: The Equational Approach to CF2 Semantics

200 篇论文

Recent papers in explainable AI have made a compelling case for counterfactual modes of explanation. While counterfactual explanations appear to be extremely effective in some instances, they are formally equivalent to adversarial examples.…

人工智能 · 计算机科学 2020-12-21 Kieran Browne , Ben Swift

We define sound and adequate denotational and operational semantics for the stochastic lambda calculus. These two semantic approaches build on previous work that used similar techniques to reason about higher-order probabilistic programs,…

计算机科学中的逻辑 · 计算机科学 2021-05-18 Pedro Amorim , Dexter Kozen , Radu Mardare , Prakash Panangaden , Michael Roberts

We introduce matrix and its block to the Dung's theory of argumentation frameworks. It is showed that each argumentation framework has a matrix representation, and the common extension-based semantics of argumentation framework can be…

信息论 · 计算机科学 2011-10-20 Xu Yuming

In this chapter, we introduce a new dialogical system for first order classical logic which is close to natural language argumentation, and we prove its completeness with respect to usual classical validity. We combine our dialogical system…

计算与语言 · 计算机科学 2020-08-18 Davide Catta , Richard Moot , Christian Retoré

Gradual semantics with abstract argumentation provide each argument with a score reflecting its acceptability, i.e. how "much" it is attacked by other arguments. Many different gradual semantics have been proposed in the literature, each…

人工智能 · 计算机科学 2022-02-02 Nir Oren , Bruno Yun , Srdjan Vesic , Murilo Baptista

A semantic tableau method, called an argumentation tableau, that enables the derivation of arguments, is proposed. First, the derivation of arguments for standard propositional and predicate logic is addressed. Next, an extension that…

人工智能 · 计算机科学 2022-09-13 Nico Roos

Among the most general structures extending the framework by Dung are the abstract dialectical frameworks (ADFs). They come equipped with various types of semantics, with the most prominent - the labeling-based one - analyzed in the context…

人工智能 · 计算机科学 2016-07-05 Sylwia Polberg

Argumentation is a very active research field of Artificial Intelligence concerned with the representation and evaluation of arguments used in dialogues between humans and/or artificial agents. Acceptability semantics of formal…

人工智能 · 计算机科学 2025-03-05 Zlatina Mileva , Antonis Bikakis , Fabio Aurelio D'Asaro , Mark Law , Alessandra Russo

In this paper we introduce and investigate a new kind of functional (including ordinary and evolutionary partial) differential equations. The main goal of this paper is to explore our new philosophy by some examples on functional ODEs and…

偏微分方程分析 · 数学 2014-02-14 De-Xing Kong , Cheng Zhang

An equational logic program is a set of directed equations or rules, which are used to compute in the obvious way (by replacing equals with ``simpler'' equals). We present static analysis techniques for efficient equational logic…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Rakesh M. Verma

We present a computer-supported approach for the logical analysis and conceptual explicitation of argumentative discourse. Computational hermeneutics harnesses recent progresses in automated reasoning for higher-order logics and aims at…

人工智能 · 计算机科学 2022-12-12 David Fuenmayor , Christoph Benzmüller

Decidability of definitional equality and conversion of terms into canonical form play a central role in the meta-theory of a type-theoretic logical framework. Most studies of definitional equality are based on a confluent,…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Robert Harper , Frank Pfenning

The assignment of weights to attacks in a classical Argumentation Framework allows to compute semantics by taking into account the different importance of each argument. We represent a Weighted Argumentation Framework by a non-binary…

人工智能 · 计算机科学 2018-10-04 Stefano Bistarelli , Alessandra Tappini , Carlo Taticchi

There are various interesting semantics' (extensions) designed for argumentation frameworks. They enable to assign a meaning, e.g., to odd-length cycles. Our main motivation is to transfer semantics' proposed by Baroni, Giacomin and Guida…

计算机科学中的逻辑 · 计算机科学 2011-08-29 Monika Adamova , Jan Sefranek

Dung's abstract argumentation theory is a widely used formalism to model conflicting information and to draw conclusions in such situations. Hereby, the knowledge is represented by so-called argumentation frameworks (AFs) and the reasoning…

人工智能 · 计算机科学 2016-04-01 Ringo Baumann , Thomas Linsbichler , Stefan Woltran

As a cornerstone of automated reasoning, equational reasoning finds equivalences between symbolic expressions and fuels advances across scientific disciplines. Yet, its potential remains limited by the exponential growth of equivalent…

量子物理 · 物理学 2026-05-19 Davide Rattacaso , Daniel Jaschke , Marco Ballarin , Ilaria Siloi , Simone Montangero

Combining abstract, symbolic reasoning with continuous neural reasoning is a grand challenge of representation learning. As a step in this direction, we propose a new architecture, called neural equivalence networks, for the problem of…

机器学习 · 计算机科学 2017-06-13 Miltiadis Allamanis , Pankajan Chanthirasegaran , Pushmeet Kohli , Charles Sutton

Dung's abstract framework for argumentation enables a study of the interactions between arguments based solely on an ``attack'' binary relation on the set of arguments. Various ways to solve conflicts between contradictory pieces of…

人工智能 · 计算机科学 2007-05-23 C. Cayrol , S. Doutre , M. -C. Lagasquie-Schiex , J. Mengin

In this paper, we propose a fresh perspective on argumentation semantics, to view them as a relational database. It offers encapsulation of the underlying argumentation graph, and allows us to understand argumentation semantics under a…

人工智能 · 计算机科学 2021-04-27 Ryuta Arisaka , Takayuki Ito

We present an unsupervised approach for discovering semantic representations of mathematical equations. Equations are challenging to analyze because each is unique, or nearly unique. Our method, which we call equation embeddings, finds good…

机器学习 · 统计学 2018-03-28 Kriste Krstovski , David M. Blei