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  1. A Computational Learning Semantics for Inductive Empirical Knowledge.Kevin T. Kelly - 2014 - In Alexandru Baltag & Sonja Smets (eds.), Johan van Benthem on Logic and Information Dynamics. Cham, Switzerland: Springer International Publishing. pp. 289-337.
    This chapter presents a new semantics for inductive empirical knowledge. The epistemic agent is represented concretely as a learner who processes new inputs through time and who forms new beliefs from those inputs by means of a concrete, computable learning program. The agent’s belief state is represented hyper-intensionally as a set of time-indexed sentences. Knowledge is interpreted as avoidance of error in the limit and as having converged to true belief from the present time onward. Familiar topics are re-examined within (...)
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  • Probabilistic Argumentation: An Equational Approach.D. M. Gabbay & O. Rodrigues - 2015 - Logica Universalis 9 (3):345-382.
    There is a generic way to add any new feature to a system. It involves identifying the basic units which build up the system and introducing the new feature to each of these basic units. In the case where the system is argumentation and the feature is probabilistic we have the following. The basic units are: the nature of the arguments involved; the membership relation in the set S of arguments; the attack relation; and the choice of extensions. Generically to (...)
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  • Conciliatory Reasoning, Self-Defeat, and Abstract Argumentation.Aleks Https://Orcidorg Knoks - 2021 - Review of Symbolic Logic 16 (3):740-787.
    According to conciliatory views on the significance of disagreement, it’s rational for you to become less confident in your take on an issue in case your epistemic peer’s take on it is different. These views are intuitively appealing, but they also face a powerful objection: in scenarios that involve disagreements over their own correctness, conciliatory views appear to self-defeat and, thereby, issue inconsistent recommendations. This paper provides a response to this objection. Drawing on the work from defeasible logics paradigm and (...)
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  • Towards Formal Representation and Evaluation of Arguments.Marcin Selinger - 2014 - Argumentation 28 (3):379-393.
    The aim of this paper is to propose foundations for a formal model of representation and numerical evaluation of a possibly broad class of arguments, including those that occur in natural discourse. Since one of the most characteristic features of everyday argumentation is the occurrence of convergent reasoning, special attention should be paid to the operation ⊕, which allows us to calculate the logical force of convergent arguments with an accuracy not offered by other approaches.
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  • 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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  • Representing the semantics of abstract dialectical frameworks based on arguments and attacks.Phan Minh Dung & Phan Minh Thang - 2018 - Argument and Computation 9 (3):249-267.
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  • A QBF-based formalization of abstract argumentation semantics.Ofer Arieli & Martin W. A. Caminada - 2013 - Journal of Applied Logic 11 (2):229-252.
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  • Theory of Semi-Instantiation in Abstract Argumentation.D. M. Gabbay - 2016 - Logica Universalis 10 (4):431-516.
    We study instantiated abstract argumentation frames of the form, where is an abstract argumentation frame and where the arguments x of S are instantiated by I as well formed formulas of a well known logic, for example as Boolean formulas or as predicate logic formulas or as modal logic formulas. We use the method of conceptual analysis to derive the properties of our proposed system. We seek to define the notion of complete extensions for such systems and provide algorithms for (...)
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  • Fundamental properties of attack relations in structured argumentation with priorities.Phan Minh Dung & Phan Minh Thang - 2018 - Artificial Intelligence 255 (C):1-42.
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  • Methods for solving reasoning problems in abstract argumentation – A survey.Günther Charwat, Wolfgang Dvořák, Sarah A. Gaggl, Johannes P. Wallner & Stefan Woltran - 2015 - Artificial Intelligence 220 (C):28-63.
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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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  • On generalized notions of consistency and reinstatement and their preservation in formal argumentation.Pietro Baroni, Federico Cerutti & Massimiliano Giacomin - 2024 - Artificial Intelligence 336 (C):104202.
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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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  • Advice on the Logic of Argument.John Woods - 2013 - Revista de Humanidades de Valparaíso 1:7-34.
    Since its modern inception in the early 1970s, informal logic has placed a special emphasis on the analysis of fallacies and argumentative dialogue schemes. Concurrent developments in speech communication circles exhibit a like concentration on the dialectical character of argument.
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  • Equilibrium States in Numerical Argumentation Networks.D. M. Gabbay & O. Rodrigues - 2015 - Logica Universalis 9 (4):411-473.
    Given an argumentation network with initial values to the arguments, we look for algorithms which can yield extensions compatible with such initial values. We find that the best way of tackling this problem is to offer an iteration formula that takes the initial values and the attack relation and iterates a sequence of intermediate values that eventually converges leading to an extension. The properties surrounding the application of the iteration formula and its connection with other numerical and non-numerical techniques proposed (...)
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  • Structured Arguments and Their Aggregation: A Reply to Selinger.Chris Reed - 2014 - Argumentation 28 (3):395-399.
    Selinger provides a new take on what is being referred to in the computational literature as ‘structured argumentation’. In this commentary the differences and similarities with existing work are highlighted as a way of demonstrating how philosophical and computational approaches to argumentation are increasingly coming together and complementing one another.
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  • The attack as strong negation, part I.D. Gabbay & M. Gabbay - 2015 - Logic Journal of the IGPL 23 (6):881-941.
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  • An empirical and axiomatic comparison of ranking-based semantics for abstract argumentation.Elise Bonzon, Jérôme Delobelle, Sébastien Konieczny & Nicolas Maudet - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):328-386.
    1. Argumentation consists in reasoning with conflicting information based on the exchange and evaluation of interacting arguments. It can be used for modelling dialogue (persuasion, negotiation), d...
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