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  1. A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
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  • Argument graphs and assumption-based argumentation.Robert Craven & Francesca Toni - 2016 - Artificial Intelligence 233 (C):1-59.
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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 evaluation of argumentation formalisms.Martin Caminada & Leila Amgoud - 2007 - Artificial Intelligence 171 (5-6):286-310.
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  • A Logical Account of Formal Argumentation.Martin W. A. Caminada & Dov M. Gabbay - 2009 - Studia Logica 93 (2-3):109-145.
    In the current paper, we re-examine how abstract argumentation can be formulated in terms of labellings, and how the resulting theory can be applied in the field of modal logic. In particular, we are able to express the (complete) extensions of an argumentation framework as models of a set of modal logic formulas that represents the argumentation framework. Using this approach, it becomes possible to define the grounded extension in terms of modal logic entailment.
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  • 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.
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  • Towards a formal account of reasoning about evidence: Argumentation schemes and generalisations. [REVIEW]Floris Bex, Henry Prakken, Chris Reed & Douglas Walton - 2003 - Artificial Intelligence and Law 11 (2-3):125-165.
    This paper studies the modelling of legal reasoning about evidence within general theories of defeasible reasoning and argumentation. In particular, Wigmore's method for charting evidence and its use by modern legal evidence scholars is studied in order to give a formal underpinning in terms of logics for defeasible argumentation. Two notions turn out to be crucial, viz. argumentation schemes and empirical generalisations.
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  • 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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  • Audiences in argumentation frameworks.Trevor J. M. Bench-Capon, Sylvie Doutre & Paul E. Dunne - 2007 - Artificial Intelligence 171 (1):42-71.
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  • SCC-recursiveness: a general schema for argumentation semantics.Pietro Baroni, Massimiliano Giacomin & Giovanni Guida - 2005 - Artificial Intelligence 168 (1-2):162-210.
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  • On the Input/Output behavior of argumentation frameworks.Pietro Baroni, Guido Boella, Federico Cerutti, Massimiliano Giacomin, Leendert van der Torre & Serena Villata - 2014 - Artificial Intelligence 217 (C):144-197.
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  • On principle-based evaluation of extension-based argumentation semantics.Pietro Baroni & Massimiliano Giacomin - 2007 - Artificial Intelligence 171 (10-15):675-700.
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  • From Axiom to Dialogue: A Philosophical Study of Logics and Argumentation.Else Margarete Barth & Erik C. W. Krabbe - 1982 - Berlin and New York: De Gruyter. Edited by E. C. W. Krabbe.
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  • Practical reasoning as presumptive argumentation using action based alternating transition systems.Katie Atkinson & Trevor Bench-Capon - 2007 - Artificial Intelligence 171 (10-15):855-874.
    In this paper we describe an approach to practical reasoning, reasoning about what it is best for a particular agent to do in a given situation, based on presumptive justifications of action through the instantiation of an argument scheme, which is then subject to examination through a series of critical questions. We identify three particular aspects of practical reasoning which distinguish it from theoretical reasoning. We next provide an argument scheme and an associated set of critical questions which is able (...)
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  • Law, learning and representation.Kevin D. Ashley & Edwina L. Rissland - 2003 - Artificial Intelligence 150 (1-2):17-58.
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  • Answer-set programming encodings for argumentation frameworks.Uwe Egly, Sarah Alice Gaggl & Stefan Woltran - 2010 - Argument and Computation 1 (2):147-177.
    Answer-set programming (ASP) has emerged as a declarative programming paradigm where problems are encoded as logic programs, such that the so-called answer sets of theses programs represent the solutions of the encoded problem. The efficiency of the latest ASP solvers reached a state that makes them applicable for problems of practical importance. Consequently, problems from many different areas, including diagnosis, data integration, and graph theory, have been successfully tackled via ASP. In this work, we present such ASP-encodings for problems associated (...)
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  • Abstract argumentation systems.Gerard A. W. Vreeswijk - 1997 - Artificial Intelligence 90 (1-2):225-279.
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  • Dialectical argumentation with argumentation schemes: An approach to legal logic. [REVIEW]Bart Verheij - 2003 - Artificial Intelligence and Law 11 (2-3):167-195.
    This paper describes an approach to legal logic based on the formal analysis of argumentation schemes. Argumentation schemes a notion borrowed from the .eld of argumentation theory - are a kind of generalized rules of inference, in the sense that they express that given certain premises a particular conclusion can be drawn. However, argumentation schemes need not concern strict, abstract, necessarily valid patterns of reasoning, but can be defeasible, concrete and contingently valid, i.e., valid in certain contexts or under certain (...)
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  • A tutorial on assumption-based argumentation.Francesca Toni - 2014 - Argument and Computation 5 (1):89-117.
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  • A generalised framework for dispute derivations in assumption-based argumentation.Francesca Toni - 2013 - Artificial Intelligence 195 (C):1-43.
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  • A mathematical treatment of defeasible reasoning and its implementation.Guillermo R. Simari & Ronald P. Loui - 1992 - Artificial Intelligence 53 (2-3):125-157.
    We present a mathematical approach to defeasible reasoning based on arguments. This approach integrates the notion of specificity introduced by Poole and the theory of warrant presented by Pollock. The main contribution of this paper is a precise, well-defined system which exhibits correct behavior when applied to the benchmark examples in the literature. It aims for usability rather than novelty. We prove that an order relation can be introduced among equivalence classes of arguments under the equi-specificity relation. We also prove (...)
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  • Special issue: Foundations of the language of argumentation.Patrick Saint-Dizier & Manfred Stede - 2017 - Argument and Computation 8 (2):91-93.
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  • Laying the foundations for a World Wide Argument Web.Iyad Rahwan, Fouad Zablith & Chris Reed - 2007 - Artificial Intelligence 171 (10-15):897-921.
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  • An abstract framework for argumentation with structured arguments.Henry Prakken - 2010 - Argument and Computation 1 (2):93-124.
    An abstract framework for structured arguments is presented, which instantiates Dung's ('On the Acceptability of Arguments and its Fundamental Role in Nonmonotonic Reasoning, Logic Programming, and n- Person Games', Artificial Intelligence , 77, 321-357) abstract argumentation frameworks. Arguments are defined as inference trees formed by applying two kinds of inference rules: strict and defeasible rules. This naturally leads to three ways of attacking an argument: attacking a premise, attacking a conclusion and attacking an inference. To resolve such attacks, preferences may (...)
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  • A dialectical model of assessing conflicting arguments in legal reasoning.H. Prakken & G. Sartor - 1996 - Artificial Intelligence and Law 4 (3-4):331-368.
    Inspired by legal reasoning, this paper presents a formal framework for assessing conflicting arguments. Its use is illustrated with applications to realistic legal examples, and the potential for implementation is discussed. The framework has the form of a logical system for defeasible argumentation. Its language, which is of a logic-programming-like nature, has both weak and explicit negation, and conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that these priorities (...)
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  • Defeasible Reasoning.John L. Pollock - 1987 - Cognitive Science 11 (4):481-518.
    There was a long tradition in philosophy according to which good reasoning had to be deductively valid. However, that tradition began to be questioned in the 1960’s, and is now thoroughly discredited. What caused its downfall was the recognition that many familiar kinds of reasoning are not deductively valid, but clearly confer justification on their conclusions. Here are some simple examples.
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  • Defeasible reasoning and degrees of justification.John L. Pollock † - 2010 - Argument and Computation 1 (1):7-22.
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  • Reasoning about preferences in argumentation frameworks.Sanjay Modgil - 2009 - Artificial Intelligence 173 (9-10):901-934.
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  • A general account of argumentation with preferences.Sanjay Modgil & Henry Prakken - 2013 - Artificial Intelligence 195 (C):361-397.
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  • Argumentation mining.Raquel Mochales & Marie-Francine Moens - 2011 - Artificial Intelligence and Law 19 (1):1-22.
    Argumentation mining aims to automatically detect, classify and structure argumentation in text. Therefore, argumentation mining is an important part of a complete argumentation analyisis, i.e. understanding the content of serial arguments, their linguistic structure, the relationship between the preceding and following arguments, recognizing the underlying conceptual beliefs, and understanding within the comprehensive coherence of the specific topic. We present different methods to aid argumentation mining, starting with plain argumentation detection and moving forward to a more structural analysis of the detected (...)
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  • Games that agents play: A formal framework for dialogues between autonomous agents. [REVIEW]Peter McBurney & Simon Parsons - 2002 - Journal of Logic, Language and Information 11 (3):315-334.
    We present a logic-based formalism for modeling ofdialogues between intelligent and autonomous software agents,building on a theory of abstract dialogue games which we present.The formalism enables representation of complex dialogues assequences of moves in a combination of dialogue games, and allowsdialogues to be embedded inside one another. The formalism iscomputational and its modular nature enables different types ofdialogues to be represented.
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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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  • 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 hybrid formal theory of arguments, stories and criminal evidence.Floris J. Bex, Peter J. van Koppen, Henry Prakken & Bart Verheij - 2010 - Artificial Intelligence and Law 18 (2):123-152.
    This paper presents a theory of reasoning with evidence in order to determine the facts in a criminal case. The focus is on the process of proof, in which the facts of the case are determined, rather than on related legal issues, such as the admissibility of evidence. In the literature, two approaches to reasoning with evidence can be distinguished, one argument-based and one story-based. In an argument-based approach to reasoning with evidence, the reasons for and against the occurrence of (...)
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  • Comfort or safety? Gathering and using the concerns of a participant for better persuasion.Emmanuel Hadoux & Anthony Hunter - 2019 - Argument and Computation 10 (2):113-147.
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  • The Carneades model of argument and burden of proof.Thomas F. Gordon, Henry Prakken & Douglas Walton - 2007 - Artificial Intelligence 171 (10-15):875-896.
    We present a formal, mathematical model of argument structure and evaluation, taking seriously the procedural and dialogical aspects of argumentation. The model applies proof standards to determine the acceptability of statements on an issue-by-issue basis. The model uses different types of premises (ordinary premises, assumptions and exceptions) and information about the dialectical status of statements (stated, questioned, accepted or rejected) to allow the burden of proof to be allocated to the proponent or the respondent, as appropriate, for each premise separately. (...)
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  • Equational approach to argumentation networks.D. M. Gabbay - 2012 - Argument and Computation 3 (2-3):87 - 142.
    This paper provides equational semantics for Dung's argumentation networks. The network nodes get numerical values in [0,1], and are supposed to satisfy certain equations. The solutions to these equations correspond to the ?extensions? of the network. This approach is very general and includes the Caminada labelling as a special case, as well as many other so-called network extensions, support systems, higher level attacks, Boolean networks, dependence on time, and much more. The equational approach has its conceptual roots in the nineteenth (...)
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  • Towards a Formal Account of Reasoning about Evidence: Argumentation Schemes and Generalisations.Bex Floris, Prakken Henry, Reed Chris & Walton Douglas - 2003 - Artificial Intelligence and Law 11 (2-3):125-165.
    This paper studies the modelling of legal reasoning about evidence within general theories of defeasible reasoning and argumentation. In particular, Wigmore's method for charting evidence and its use by modern legal evidence scholars is studied in order to give a formal underpinning in terms of logics for defeasible argumentation. Two notions turn out to be crucial, viz. argumentation schemes and empirical generalisations.
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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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  • Explanations, belief revision and defeasible reasoning.Marcelo A. Falappa, Gabriele Kern-Isberner & Guillermo R. Simari - 2002 - Artificial Intelligence 141 (1-2):1-28.
    We present different constructions for nonprioritized belief revision, that is, belief changes in which the input sentences are not always accepted. First, we present the concept of explanation in a deductive way. Second, we define multiple revision operators with respect to sets of sentences (representing explanations), giving representation theorems. Finally, we relate the formulated operators with argumentative systems and default reasoning frameworks.
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  • Weighted argument systems: Basic definitions, algorithms, and complexity results.Paul E. Dunne, Anthony Hunter, Peter McBurney, Simon Parsons & Michael Wooldridge - 2011 - Artificial Intelligence 175 (2):457-486.
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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
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  • Dialectic proof procedures for assumption-based, admissible argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
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  • Coherence in finite argument systems.Paul E. Dunne & T. J. M. Bench-Capon - 2002 - Artificial Intelligence 141 (1-2):187-203.
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  • Computing ideal sceptical argumentation.P. M. Dung, P. Mancarella & F. Toni - 2007 - Artificial Intelligence 171 (10-15):642-674.
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  • Defeasible Reasoning and Degrees of Justification.Pollock † & L. John - 2010 - Argument and Computation 1 (1):7-22.
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  • Argument Diagramming in Logic, Artificial Intelligence, and Law.Chris Reed, Douglas Walton & Fabrizio Macagno - 2007 - The Knowledge Engineering Review 22 (1):87-109.
    In this paper, we present a survey of the development of the technique of argument diagramming covering not only the fields in which it originated - informal logic, argumentation theory, evidence law and legal reasoning – but also more recent work in applying and developing it in computer science and artificial intelligence. Beginning with a simple example of an everyday argument, we present an analysis of it visualised as an argument diagram constructed using a software tool. In the context of (...)
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  • Logical Models of Argument.Ronald Prescott Loui, Carlos Ivan Ches~Nevar & Ana Gabriela Maguitman - 2000 - ACM Computing Surveys 32 (4):337-383.
    Logical models of argument formalize commonsense reasoning while taking process and computation seriously. This survey discusses the main ideas which characterize di erent logical models of argument. It presents the formal features of a few main approaches to the modeling of argumentation. We trace the evolution of argumentationfrom the mid-80's, when argumentsystems emerged as an alternative to nonmonotonic formalisms based on classical logic, to the present, as argument is embedded in di erent complex systems for real-world applications, and allows more (...)
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