Francesca Toni [20]F. Toni [3]
  1.  13
    An abstract, argumentation-theoretic approach to default reasoning.A. Bondarenko, P. M. Dung, R. A. Kowalski & F. Toni - 1997 - Artificial Intelligence 93 (1-2):63-101.
  2.  4
    Computing ideal sceptical argumentation.P. M. Dung, P. Mancarella & F. Toni - 2007 - Artificial Intelligence 171 (10-15):642-674.
  3. Introduction to structured argumentation.Philippe Besnard, Alejandro Garcia, Anthony Hunter, Sanjay Modgil, Henry Prakken, Guillermo Simari & Francesca Toni - 2014 - Argument and Computation 5 (1):1-4.
    In abstract argumentation, each argument is regarded as atomic. There is no internal structure to an argument. Also, there is no specification of what is an argument or an attack. They are assumed to be given. This abstract perspective provides many advantages for studying the nature of argumentation, but it does not cover all our needs for understanding argumentation or for building tools for supporting or undertaking argumentation. If we want a more detailed formalization of arguments than is available with (...)
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  4.  44
    A tutorial on assumption-based argumentation.Francesca Toni - 2014 - Argument and Computation 5 (1):89-117.
  5.  4
    Dialectic proof procedures for assumption-based, admissible argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
  6.  4
    Argument graphs and assumption-based argumentation.Robert Craven & Francesca Toni - 2016 - Artificial Intelligence 233 (C):1-59.
  7.  18
    Argumentative explanations for interactive recommendations.Antonio Rago, Oana Cocarascu, Christos Bechlivanidis, David Lagnado & Francesca Toni - 2021 - Artificial Intelligence 296 (C):103506.
  8.  13
    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.
  9.  8
    On the computational complexity of assumption-based argumentation for default reasoning.Yannis Dimopoulos, Bernhard Nebel & Francesca Toni - 2002 - Artificial Intelligence 141 (1-2):57-78.
  10.  40
    Abstract argumentation.Robert A. Kowalski & Francesca Toni - 1996 - Artificial Intelligence and Law 4 (3-4):275-296.
    In this paper we explore the thesis that the role of argumentation in practical reasoning in general and legal reasoning in particular is to justify the use of defeasible rules to derive a conclusion in preference to the use of other defeasible rules to derive a conflicting conclusion. The defeasibility of rules is expressed by means of non-provability claims as additional conditions of the rules.We outline an abstract approach to defeasible reasoning and argumentation which includes many existing formalisms, including default (...)
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  11.  29
    Automatic evaluation of design alternatives with quantitative argumentation.Pietro Baroni, Marco Romano, Francesca Toni, Marco Aurisicchio & Giorgio Bertanza - 2015 - Argument and Computation 6 (1):24-49.
    This paper presents a novel argumentation framework to support Issue-Based Information System style debates on design alternatives, by providing an automatic quantitative evaluation of the positions put forward. It also identifies several formal properties of the proposed quantitative argumentation framework and compares it with existing non-numerical abstract argumentation formalisms. Finally, the paper describes the integration of the proposed approach within the design Visual Understanding Environment software tool along with three case studies in engineering design. The case studies show the potential (...)
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  12.  25
    On Argumentation Logic and Propositional Logic.Antonis C. Kakas, Paolo Mancarella & Francesca Toni - 2018 - Studia Logica 106 (2):237-279.
    This paper studies the relationship between Argumentation Logic, a recently defined logic based on the study of argumentation in AI, and classical Propositional Logic. In particular, it shows that AL and PL are logically equivalent in that they have the same entailment relation from any given classically consistent theory. This equivalence follows from a correspondence between the non-acceptability of sentences in AL and Natural Deduction proofs of the complement of these sentences. The proof of this equivalence uses a restricted form (...)
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  13.  1
    A generalised framework for dispute derivations in assumption-based argumentation.Francesca Toni - 2013 - Artificial Intelligence 195 (C):1-43.
  14.  18
    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.
  15.  4
    A general framework for sound assumption-based argumentation dialogues.Xiuyi Fan & Francesca Toni - 2014 - Artificial Intelligence 216 (C):20-54.
  16.  9
    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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  17. Assumption-based argumentation for closed and consistent defeasible reasoning.Francesca Toni - 2008 - In Satoh (ed.), New Frontiers in Artificial Intelligence. Springer. pp. 390--402.
  18.  5
    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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  19. Proceedings of the Sixteenth International Conference on Principles of Knowledge Representation and Reasoning (KR2018).Michael Thielscher, Francesca Toni & Frank Wolter (eds.) - 2018
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  20.  3
    Argumentative explanations for pattern-based text classifiers.Piyawat Lertvittayakumjorn & Francesca Toni - 2023 - Argument and Computation 14 (2):163-234.
    Recent works in Explainable AI mostly address the transparency issue of black-box models or create explanations for any kind of models (i.e., they are model-agnostic), while leaving explanations of interpretable models largely underexplored. In this paper, we fill this gap by focusing on explanations for a specific interpretable model, namely pattern-based logistic regression (PLR) for binary text classification. We do so because, albeit interpretable, PLR is challenging when it comes to explanations. In particular, we found that a standard way to (...)
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  21.  1
    On the responsibility for undecisiveness in preferred and stable labellings in abstract argumentation.Claudia Schulz & Francesca Toni - 2018 - Artificial Intelligence 262 (C):301-335.
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