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Ethical and explainable artificial intelligence is an interdisciplinary research area involving computer science, philosophy, logic, the social sciences, etc. For an ethical autonomous system, the ability to justify and explain its decision…

人工智能 · 计算机科学 2019-10-22 Beishui Liao , Michael Anderson , Susan Leigh Anderson

This paper studies a difference operator for stochastic systems whose specifications are represented by Abstract Probabilistic Automata (APAs). In the case refinement fails between two specifications, the target of this operator is to…

计算机科学中的逻辑 · 计算机科学 2015-07-01 Benoît Delahaye , Uli Fahrenberg , Kim G. Larsen , Axel Legay

Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studied, but their applicability is limited by a representational restriction to…

This paper presents Abduction and Argumentation as two principled forms for reasoning, and fleshes out the fundamental role that they can play within Machine Learning. It reviews the state-of-the-art work over the past few decades on the…

人工智能 · 计算机科学 2020-10-27 Antonis Kakas , Loizos Michael

The aim of this paper is to announce the release of a novel system for abstract argumentation which is based on decomposition and dynamic programming. We provide first experimental evaluations to show the feasibility of this approach.

人工智能 · 计算机科学 2016-04-20 Wolfgang Dvořák , Michael Morak , Clemens Nopp , Stefan Woltran

This paper describes an architecture for robots that combines the complementary strengths of probabilistic graphical models and declarative programming to represent and reason with logic-based and probabilistic descriptions of uncertainty…

机器人学 · 计算机科学 2018-09-24 Mohan Sridharan , Michael Gelfond , Shiqi Zhang , Jeremy Wyatt

Scholarly Argumentation Mining (SAM) has recently gained attention due to its potential to help scholars with the rapid growth of published scientific literature. It comprises two subtasks: argumentative discourse unit recognition (ADUR)…

计算与语言 · 计算机科学 2022-10-25 Arne Binder , Bhuvanesh Verma , Leonhard Hennig

In computational argumentation, gradual semantics are fine-grained alternatives to extension-based and labelling-based semantics . They ascribe a dialectical strength to (components of) arguments sanctioning their degree of acceptability.…

人工智能 · 计算机科学 2025-08-04 Anna Rapberger , Fabrizio Russo , Antonio Rago , Francesca Toni

The strength of a dynamic language is also its weakness: run-time flexibility comes at the cost of compile-time predictability. Many of the hallmarks of dynamic languages such as closures, continuations, various forms of reflection, and a…

编程语言 · 计算机科学 2014-08-18 J. Ian Johnson , David Van Horn

In Dung-style abstract argumentation, various semantics capture notions of acceptability of arguments. The admissibility semantics capture the notion that an argument can be consistently defended from any potential counterargument. Weak…

人工智能 · 计算机科学 2026-05-05 Uri Andrews , Luca San Mauro , John Spoerl

We present a constructive formalization of Abstract Rewriting Systems (ARS) in the Agda proof assistant, focusing on standard results in term rewriting. We define a taxonomy of concepts related to termination and confluence and investigate…

计算机科学中的逻辑 · 计算机科学 2026-03-12 Sam Arkle , Andrew Polonsky

Cycles of attacking arguments pose non-trivial issues in Dung style argumentation theory, apparent behavioural difference between odd and even length cycles being a notable one. While a few methods were proposed for treating them, to - in…

人工智能 · 计算机科学 2018-02-06 Ryuta Arisaka , Jeremie Dauphin

This paper combines two studies: a topological semantics for epistemic notions and abstract argumentation theory. In our combined setting, we use a topological semantics to represent the structure of an agent's collection of evidence, and…

人工智能 · 计算机科学 2017-07-28 Chenwei Shi , Sonja Smets , Fernando R. Velázquez-Quesada

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

Argumentation is a process of evaluating and comparing a set of arguments. A way to compare them consists in using a ranking-based semantics which rank-order arguments from the most to the least acceptable ones. Recently, a number of such…

人工智能 · 计算机科学 2016-02-03 Elise Bonzon , Jérôme Delobelle , Sébastien Konieczny , Nicolas Maudet

Explainable Artificial Intelligence and Formal Argumentation have received significant attention in recent years. Argumentation-based systems often lack explainability while supporting decision-making processes. Counterfactual and…

人工智能 · 计算机科学 2024-05-08 Gianvincenzo Alfano , Sergio Greco , Francesco Parisi , Irina Trubitsyna

After Dung's founding work in Abstract Argumentation Frameworks there has been a growing interest in extending the Dung's semantics in order to describe more complex or real life situations. Several of these approaches take the direction of…

人工智能 · 计算机科学 2018-10-02 Theofrastos Mantadelis , Stefano Bistarelli

Dung's abstract argumentation frameworks model acceptability solely in terms of an attack relation, thereby conflating two conceptually distinct aspects of argumentative reasoning: direct conflict between arguments and the structural…

人工智能 · 计算机科学 2026-04-14 Beishui Liao

Recursive relational specifications are commonly used to describe the computational structure of formal systems. Recent research in proof theory has identified two features that facilitate direct, logic-based reasoning about such…

计算机科学中的逻辑 · 计算机科学 2010-09-24 Andrew Gacek , Dale Miller , Gopalan Nadathur

Automatic differentiation (AD) aims to compute derivatives of user-defined functions, but in Turing-complete languages, this simple specification does not fully capture AD's behavior: AD sometimes disagrees with the true derivative of a…

编程语言 · 计算机科学 2021-12-07 Alexander K. Lew , Mathieu Huot , Vikash K. Mansinghka