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  1. The third and fourth international competitions on computational models of argumentation: Design, results and analysis.Stefano Bistarelli, Lars Kotthoff, Jean-Marie Lagniez, Emmanuel Lonca, Jean-Guy Mailly, Julien Rossit, Francesco Santini & Carlo Taticchi - 2024 - Argument and Computation:1-73.
    The International Competition on Computational Models of Argumentation (ICCMA) focuses on reasoning tasks in abstract argumentation frameworks. Submitted solvers are tested on a selected collection of benchmark instances, including artificially generated argumentation frameworks and some frameworks formalizing real-world problems. This paper presents the novelties introduced in the organization of the Third (2019) and Fourth (2021) editions of the competition. In particular, we proposed new tracks to competitors, one dedicated to dynamic solvers (i.e., solvers that incrementally compute solutions of frameworks obtained (...)
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  • Explanation–Question–Response dialogue: An argumentative tool for explainable AI.Federico Castagna, Peter McBurney & Simon Parsons - 2024 - Argument and Computation:1-23.
    Advancements and deployments of AI-based systems, especially Deep Learning-driven generative language models, have accomplished impressive results over the past few years. Nevertheless, these remarkable achievements are intertwined with a related fear that such technologies might lead to a general relinquishing of our lives’s control to AIs. This concern, which also motivates the increasing interest in the eXplainable Artificial Intelligence (XAI) research field, is mostly caused by the opacity of the output of deep learning systems and the way that it is (...)
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  • Experimental evaluation of gradual argument acceptability semantics: The case of reinstatement.Elfia Bezou Vrakatseli, Henry Prakken & Christian P. Janssen - 2024 - Argument and Computation:1-25.
    This paper investigates whether empirical findings on how humans evaluate arguments in reinstatement cases support the ‘fewer attackers is better’ principle, incorporated in many current gradual notions of argument acceptability. Through three variations of an experiment, we find that (1) earlier findings that reinstated arguments are rated lower than when presented alone are replicated, (2) ratings at the reinstated stage are similar if all arguments are presented at once, compared to sequentially, and (3) ratings are overall higher if participants are (...)
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  • An abstract and structured account of dialectical argument strength.Henry Prakken - 2024 - Artificial Intelligence 335 (C):104193.
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  • Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility.Ringo Baumann, Gerhard Brewka & Markus Ulbricht - 2022 - Artificial Intelligence 310 (C):103742.
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  • Revisiting initial sets in abstract argumentation.Matthias Thimm - 2022 - Argument and Computation 13 (3):325-360.
    We revisit the notion of initial sets by Xu and Cayrol 2016), i. e., non-empty minimal admissible sets in abstract argumentation frameworks. Initial sets are a simple concept for analysing conflicts in an abstract argumentation framework and to explain why certain arguments can be accepted. We contribute with new insights on the structure of initial sets and devise a simple non-deterministic construction principle for any admissible set, based on iterative selection of initial sets of the original framework and its induced (...)
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  • A logic of defeasible argumentation: Constructing arguments in justification logic.Stipe Pandžić - 2022 - Argument and Computation 13 (1):3-47.
    In the 1980s, Pollock’s work on default reasons started the quest in the AI community for a formal system of defeasible argumentation. The main goal of this paper is to provide a logic of structured defeasible arguments using the language of justification logic. In this logic, we introduce defeasible justification assertions of the type t : F that read as “t is a defeasible reason that justifies F”. Such formulas are then interpreted as arguments and their acceptance semantics is given (...)
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  • On searching explanatory argumentation graphs.Régis Riveret - 2020 - Journal of Applied Non-Classical Logics 30 (2):123-192.
    Cases or examples can be often explained by the interplay of arguments in favour or against their outcomes. This paper addresses the problem of finding explanations for a collection of cases where an explanation is a labelled argumentation graph consistent with the cases, and a case is represented as a statement labelling. The focus is on semi-abstract argumentation graphs specifying attack and subargument relations between arguments, along with particular complete argument labellings taken from probabilistic argumentation where arguments can be excluded. (...)
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  • Towards a framework for computational persuasion with applications in behaviour change1.Anthony Hunter - 2018 - Argument and Computation 9 (1):15-40.
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  • A concurrent language for modelling agents arguing on a shared argumentation space.Stefano Bistarelli & Carlo Taticchi - 2024 - Argument and Computation 15 (1):21-48.
    While agent-based modelling languages naturally implement concurrency, the currently available languages for argumentation do not allow to explicitly model this type of interaction. In this paper we introduce a concurrent language for handling agents arguing and communicating using a shared argumentation space. We also show how to perform high-level operations like persuasion and negotiation through basic belief revision constructs, and present a working implementation of the language and the associated web interface.
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  • Complexity of abstract argumentation under a claim-centric view.Wolfgang Dvořák & Stefan Woltran - 2020 - Artificial Intelligence 285 (C):103290.
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  • A general framework for sound assumption-based argumentation dialogues.Xiuyi Fan & Francesca Toni - 2014 - Artificial Intelligence 216 (C):20-54.
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  • In memoriam Douglas N. Walton: the influence of Doug Walton on AI and law.Katie Atkinson, Trevor Bench-Capon, Floris Bex, Thomas F. Gordon, Henry Prakken, Giovanni Sartor & Bart Verheij - 2020 - Artificial Intelligence and Law 28 (3):281-326.
    Doug Walton, who died in January 2020, was a prolific author whose work in informal logic and argumentation had a profound influence on Artificial Intelligence, including Artificial Intelligence and Law. He was also very interested in interdisciplinary work, and a frequent and generous collaborator. In this paper seven leading researchers in AI and Law, all past programme chairs of the International Conference on AI and Law who have worked with him, describe his influence on their work.
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  • Teleological Justification of Argumentation Schemes.Douglas Walton & Giovanni Sartor - 2013 - Argumentation 27 (2):111-142.
    Argumentation schemes are forms of reasoning that are fallible but correctable within a self-correcting framework. Their use provides a basis for taking rational action or for reasonably accepting a conclusion as a tentative hypothesis, but they are not deductively valid. We argue that teleological reasoning can provide the basis for justifying the use of argument schemes both in monological and dialogical reasoning. We consider how such a teleological justification, besides being inspired by the aim of directing a bounded cognizer to (...)
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  • Forecasting with jury-based probabilistic argumentation.Francesca Toni, Antonio Rago & Kristijonas Čyras - 2023 - Journal of Applied Non-Classical Logics 33 (3):224-243.
    1. The benefits resulting from a combination of quantitative (e.g. probabilistic) and qualitative (e.g. logic-based) reasoning are widely acknowledged (e.g. see Domingos et al., 2006; Poole, 2011)....
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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games: 25 years later.Pietro Baroni, Francesca Toni & Bart Verheij - 2020 - Argument and Computation 11 (1-2):1-14.
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  • Comparing logic programming and formal argumentation; the case of ideal and eager semantics.Martin Caminada, Sri Harikrishnan & Samy Sá - 2022 - Argument and Computation 13 (1):93-120.
    The connection between logic programming and formal argumentation has been studied starting from the landmark 1995 paper of Dung. Subsequent work has identified a standard translation from logic programs to argumentation frameworks, under which pairwise correspondences hold between various logic programming semantics and various formal argumentation semantics. This includes the correspondence between 3-valued stable and complete semantics, between well-founded and grounded semantics and between 2-valued stable and stable semantics. In the current paper, we show that the existing translation is able (...)
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  • How Computational Tools Can Help Rhetoric and Informal Logic with Argument Invention.Douglas Walton & Thomas F. Gordon - 2019 - Argumentation 33 (2):269-295.
    This paper compares the features and methods of the two leading implemented systems that offer a tool for helping a user to find or invent arguments to support or attack a designated conclusion, the Carneades Argumentation System and the IBM Watson Debater tool. The central aim is to contribute to the understanding of scholars in informal logic, rhetoric and argumentation on how these two software systems can be useful for them. One contribution of the paper is to explain to these (...)
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  • Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks.Gianvincenzo Alfano, Marco Calautti, Sergio Greco, Francesco Parisi & Irina Trubitsyna - 2023 - Artificial Intelligence 323 (C):103967.
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  • Bisimulation between base argumentation and premise-conclusion argumentation.Jinsheng Chen, Beishui Liao & Leendert van der Torre - 2024 - Artificial Intelligence 336 (C):104203.
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  • A computational model of argumentation schemes for multi-agent systems.Alison R. Panisson, Peter McBurney & Rafael H. Bordini - 2021 - Argument and Computation 12 (3):357-395.
    There are many benefits of using argumentation-based techniques in multi-agent systems, as clearly shown in the literature. Such benefits come not only from the expressiveness that argumentation-based techniques bring to agent communication but also from the reasoning and decision-making capabilities under conditions of conflicting and uncertain information that argumentation enables for autonomous agents. When developing multi-agent applications in which argumentation will be used to improve agent communication and reasoning, argumentation schemes are useful in addressing the requirements of the application domain (...)
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  • Computational complexity of flat and generic Assumption-Based Argumentation, with and without probabilities.Kristijonas Čyras, Quentin Heinrich & Francesca Toni - 2021 - Artificial Intelligence 293 (C):103449.
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  • Design and results of the Second International Competition on Computational Models of Argumentation.Sarah A. Gaggl, Thomas Linsbichler, Marco Maratea & Stefan Woltran - 2020 - Artificial Intelligence 279 (C):103193.
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  • A general semi-structured formalism for computational argumentation: Definition, properties, and examples of application.Pietro Baroni, Massimiliano Giacomin & Beishui Liao - 2018 - Artificial Intelligence 257 (C):158-207.
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  • Incremental computation for structured argumentation over dynamic DeLP knowledge bases.Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Gerardo I. Simari & Guillermo R. Simari - 2021 - Artificial Intelligence 300 (C):103553.
    Structured argumentation systems, and their implementation, represent an important research subject in the area of Knowledge Representation and Reasoning. Structured argumentation advances over abstract argumentation frameworks by providing the internal construction of the arguments that are usually defined by a set of (strict and defeasible) rules. By considering the structure of arguments, it becomes possible to analyze reasons for and against a conclusion, and the warrant status of such a claim in the context of a knowledge base represents the main (...)
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  • Assumption-based argumentation with preferences and goals for patient-centric reasoning with interacting clinical guidelines.Kristijonas Čyras, Tiago Oliveira, Amin Karamlou & Francesca Toni - 2021 - Argument and Computation 12 (2):149-189.
    A paramount, yet unresolved issue in personalised medicine is that of automated reasoning with clinical guidelines in multimorbidity settings. This entails enabling machines to use computerised generic clinical guideline recommendations and patient-specific information to yield patient-tailored recommendations where interactions arising due to multimorbidities are resolved. This problem is further complicated by patient management desiderata, in particular the need to account for patient-centric goals as well as preferences of various parties involved. We propose to solve this problem of automated reasoning with (...)
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  • Assessment of benchmarks for abstract argumentation.Jean-Guy Mailly & Marco Maratea - 2019 - Argument and Computation 10 (2):107-112.
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  • Theory of disjunctive attacks, Part I.D. Gabbay & M. Gabbay - 2016 - Logic Journal of the IGPL 24 (2):186-218.
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  • An approach to decision making based on dynamic argumentation systems.Edgardo Ferretti, Luciano H. Tamargo, Alejandro J. García, Marcelo L. Errecalde & Guillermo R. Simari - 2017 - Artificial Intelligence 242 (C):107-131.
    In this paper we introduce a formalism for single-agent decision making that is based on Dynamic Argumentation Frameworks. The formalism can be used to justify a choice, which is based on the current situation the agent is involved. Taking advantage of the inference mechanism of the argumentation formalism, it is possible to consider preference relations, and conflicts among the available alternatives for that reasoning. With this formalization, given a particular set of evidence, the justified conclusions supported by warranted arguments will (...)
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  • An informant-based approach to argument strength in Defeasible Logic Programming.Andrea Cohen, Sebastian Gottifredi, Luciano H. Tamargo, Alejandro J. García & Guillermo R. Simari - 2021 - Argument and Computation 12 (1):115-147.
    This work formalizes an informant-based structured argumentation approach in a multi-agent setting, where the knowledge base of an agent may include information provided by other agents, and each piece of knowledge comes attached with its informant. In that way, arguments are associated with the set of informants corresponding to the information they are built upon. Our approach proposes an informant-based notion of argument strength, where the strength of an argument is determined by the credibility of its informant agents. Moreover, we (...)
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