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ASPIC-style structured argumentation frameworks provide a formal basis for reasoning in artificial intelligence by combining internal argument structure with abstract argumentation semantics. A key challenge in these frameworks is ensuring…

人工智能 · 计算机科学 2026-04-24 Marcos Cramer , Tom Friese

We extend the $ASPIC^+$ framework for structured argumentation so as to allow applications of the reasoning by cases inference scheme for defeasible arguments. Given an argument with conclusion `$A$ or $B$', an argument based on $A$ with…

人工智能 · 计算机科学 2017-03-27 Mathieu Beirlaen , Jesse Heyninck , Christian Straßer

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 many expert and everyday reasoning contexts it is very useful to reason on the basis of defeasible assumptions. For instance, if the information at hand is incomplete we often use plausible assumptions, or if the information is…

计算机科学中的逻辑 · 计算机科学 2018-04-25 AnneMarie Borg

We contemplate a higher-level bipolar abstract argumentation for non-elementary arguments such as: X argues against Ys sincerity with the fact that Y has presented his argument to draw a conclusion C, by omitting other facts which would not…

人工智能 · 计算机科学 2019-01-21 Ryuta Arisaka , Stefano Bistarelli , Francesco Santini

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

We endow prioritised default logic (PDL) with argumentation semantics using the ASPIC+ framework for structured argumentation, and prove that the conclusions of the justified arguments are exactly the prioritised default extensions.…

人工智能 · 计算机科学 2015-07-02 Anthony P. Young , Sanjay Modgil , Odinaldo Rodrigues

This paper develops a new approach to computational argumentation that is informed by philosophical and linguistic views. Namely, it takes into account two ideas that have received little attention in the literature on computational…

人工智能 · 计算机科学 2026-02-04 Michael A. Müller , Srdjan Vesic , Bruno Yun

In this paper we make a contribution to the unification of formal models of defeasible reasoning. We present several translations between formal argumentation frameworks and nonmonotonic logics for reasoning with plausible assumptions. More…

人工智能 · 计算机科学 2016-04-04 Jesse Heyninck , Christian Straßer

Assumption-based Argumentation (ABA) is a well-known structured argumentation formalism, whereby arguments and attacks between them are drawn from rules, defeasible assumptions and their contraries. A common restriction imposed on ABA…

人工智能 · 计算机科学 2024-01-09 Markus Ulbricht , Nico Potyka , Anna Rapberger , Francesca Toni

Logical bilateralism challenges traditional concepts of logic by treating assertion and denial as independent yet opposed acts. While initially devised to justify classical logic, its constructive variants show that both acts admit…

计算机科学中的逻辑 · 计算机科学 2026-05-05 Victor Barroso-Nascimento , Maria Osório , Elaine Pimentel

Argumentation is the process of constructing arguments about propositions, and the assignment of statements of confidence to those propositions based on the nature and relative strength of their supporting arguments. The process is modelled…

人工智能 · 计算机科学 2013-03-08 John Fox , Paul J. Krause , Morten Elvang-Gøransson

In this paper we investigate the links between instantiated argumentation systems and the axioms for non-monotonic reasoning described in [9] with the aim of characterising the nature of argument based reasoning. In doing so, we consider…

人工智能 · 计算机科学 2017-01-16 Zimi Li , Nir Oren , Simon Parsons

Assumption-based Argumentation (ABA) is advocated as a unifying formalism for various forms of non-monotonic reasoning, including logic programming. It allows capturing defeasible knowledge, subject to argumentative debate. While, in much…

人工智能 · 计算机科学 2024-11-11 Emanuele De Angelis , Maurizio Proietti , Francesca Toni

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

This paper formally compares some central notions from two well-known formalisms for rule-based argumentation, DeLP and ASPIC+. The comparisons especially focus on intuitive adequacy and inter-translatability, consistency, and closure…

人工智能 · 计算机科学 2019-09-12 Alejandro J. Garcia , Henry Prakken , Guillermo R. Simari

Argumentation has proved a useful tool in defining formal semantics for assumption-based reasoning by viewing a proof as a process in which proponents and opponents attack each others arguments by undercuts (attack to an argument's premise)…

计算机科学中的逻辑 · 计算机科学 2007-05-23 Ralf Schweimeier , Michael Schroeder

Abstract argumentation provides us with methods such as gradual and Dung semantics with which to evaluate arguments after potential attacks by other arguments. Some of these methods can take intrinsic strengths of arguments as input, with…

人工智能 · 计算机科学 2021-09-02 Jeroen Paul Spaans

We present an extension-based approach for computing and verifying preferences in an abstract argumentation system. Although numerous argumentation semantics have been developed previously for identifying acceptable sets of arguments from…

人工智能 · 计算机科学 2024-03-27 Quratul-ain Mahesar , Nir Oren , Wamberto W. Vasconcelos

Argumentation frameworks, consisting of arguments and an attack relation representing conflicts, are fundamental for formally studying reasoning under conflicting information. We use methods from mathematical logic, specifically…

人工智能 · 计算机科学 2025-12-01 Uri Andrews , Luca San Mauro
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