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The intuitive notion of evidence has both semantic and syntactic features. In this paper, we develop an {\em evidence logic} for epistemic agents faced with possibly contradictory evidence from different sources. The logic is based on a…

逻辑 · 数学 2013-07-05 Johan van Benthem , David Fernández-Duque , Eric Pacuit

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

In dialogical argumentation it is often assumed that the involved parties always correctly identify the intended statements posited by each other, realize all of the associated relations, conform to the three acceptability states (accepted,…

人工智能 · 计算机科学 2017-12-11 Sylwia Polberg , Anthony Hunter

Mechanistic interpretability is the program of explaining what AI systems are doing in terms of their internal mechanisms. I analyze some aspects of the program, along with setting out some concrete challenges and assessing progress to…

人工智能 · 计算机科学 2025-01-28 David J. Chalmers

In this paper, we show that coherent sets of gambles and coherent lower and upper previsions can be embedded into the algebraic structure of information algebra. This leads firstly, to a new perspective of the algebraic and logical…

人工智能 · 计算机科学 2021-04-28 Arianna Casanova , Juerg Kohlas , Marco Zaffalon

Quantified propositional intuitionistic logic is obtained from propositional intuitionistic logic by adding quantifiers \forall p, \exists p over propositions. In the context of Kripke semantics, a proposition is a subset of the worlds in a…

逻辑 · 数学 2015-04-21 Richard Zach

There has been considerable work on reasoning about the strategic ability of agents under imperfect information. However, existing logics such as Probabilistic Strategy Logic are unable to express properties relating to information…

人工智能 · 计算机科学 2025-01-07 Chunyan Mu , Nima Motamed , Natasha Alechina , Brian Logan

Machine learning methods have significantly improved in their predictive capabilities, but at the same time they are becoming more complex and less transparent. As a result, explainers are often relied on to provide interpretability to…

机器学习 · 计算机科学 2024-04-17 Zulqarnain Khan , Davin Hill , Aria Masoomi , Joshua Bone , Jennifer Dy

Though the ability of human beings to deal with probabilities has been put into question, the assessment of rarity is a crucial competence underlying much of human decision-making and is pervasive in spontaneous narrative behaviour. This…

其他计算机科学 · 计算机科学 2011-08-25 Jean-Louis Dessalles

Propositional term modal logic is interpreted over Kripke structures with unboundedly many accessibility relations and hence the syntax admits variables indexing modalities and quantification over them. This logic is undecidable, and we…

计算机科学中的逻辑 · 计算机科学 2019-01-01 Anantha Padmanabha , R Ramanujam

A wide variety of model explanation approaches have been proposed in recent years, all guided by very different rationales and heuristics. In this paper, we take a new route and cast interpretability as a statistical inference problem. We…

机器学习 · 计算机科学 2024-01-01 Hugo Henri Joseph Senetaire , Damien Garreau , Jes Frellsen , Pierre-Alexandre Mattei

This paper develops an algorithmic-based approach for proving inductive properties of propositional sequent systems such as admissibility, invertibility, cut-elimination, and identity expansion. Although undecidable in general, these…

计算机科学中的逻辑 · 计算机科学 2021-01-11 Carlos Olarte , Elaine Pimentel , Camilo Rocha

Probability logic has contributed to significant developments in belief types for game-theoretical economics. We present a new probability logic for Harsanyi Type spaces, show its completeness, and prove both a de-nesting property and a…

逻辑 · 数学 2015-07-01 Chunlai Zhou

In the interpretation of experimental data, one is actually looking for plausible explanations. We look for a measure of plausibility, with which we can compare different possible explanations, and which can be combined when there are…

人工智能 · 计算机科学 2010-12-30 Wan Ahmad Tajuddin Wan Abdullah

This paper presents a plausible reasoning system to illustrate some broad issues in knowledge representation: dualities between different reasoning forms, the difficulty of unifying complementary reasoning styles, and the approximate nature…

人工智能 · 计算机科学 2013-03-26 Wray L. Buntine

Abstract dialectical frameworks (ADFs) have been introduced as a formalism for modeling and evaluating argumentation allowing general logical satisfaction conditions. Different criteria used to settle the acceptance of arguments are called…

人工智能 · 计算机科学 2020-12-14 Atefeh Keshavarzi Zafarghandi , Rineke Verbrugge , Bart Verheij

Topological models of empirical and formal inquiry are increasingly prevalent. They have emerged in such diverse fields as domain theory [1, 16], formal learning theory [18], epistemology and philosophy of science [10, 15, 8, 9, 2],…

机器学习 · 计算机科学 2017-08-01 Konstantin Genin , Kevin T. Kelly

This paper introduces epistemic graphs as a generalization of the epistemic approach to probabilistic argumentation. In these graphs, an argument can be believed or disbelieved up to a given degree, thus providing a more fine--grained…

人工智能 · 计算机科学 2020-01-15 Anthony Hunter , Sylwia Polberg , Matthias Thimm

We deal with the random combinatorial structures called assemblies. By weakening the logarithmic condition which assures regularity of the number of components of a given order, we extend the notion of logarithmic assemblies. Using the…

概率论 · 数学 2009-03-06 Eugenijus Manstavičius

From an inconsistent database non-trivial arguments may be constructed both for a proposition, and for the contrary of that proposition. Therefore, inconsistency in a logical database causes uncertainty about which conclusions to accept.…

人工智能 · 计算机科学 2013-08-12 Morten Elvang-Gøransson , Paul J. Krause , John Fox