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  1. HYPO's legacy: introduction to the virtual special issue.T. J. M. Bench-Capon - 2017 - Artificial Intelligence and Law 25 (2):205-250.
    This paper is an introduction to a virtual special issue of AI and Law exploring the legacy of the influential HYPO system of Rissland and Ashley. The papers included are: Arguments and cases: An inevitable intertwining, BankXX: Supporting legal arguments through heuristic retrieval, Modelling reasoning with precedents in a formal dialogue Game, A note on dimensions and factors, An empirical investigation of reasoning with legal cases through theory construction and application, Automatically classifying case texts and predicting outcomes, A factor-based definition (...)
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  • Before and after Dung: Argumentation in AI and Law.T. J. M. Bench-Capon - 2020 - Argument and Computation 11 (1-2):221-238.
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  • Self-stabilizing defeat status computation: dealing with conflict management in multi-agent systems.Pietro Baroni, Massimiliano Giacomin & Giovanni Guida - 2005 - Artificial Intelligence 165 (2):187-259.
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  • Handbook of Argumentation Theory.Frans H. van Eemeren, Bart Garssen, Erik C. W. Krabbe, A. Francisca Snoeck Henkemans, Bart Verheij & Jean H. M. Wagemans - 2014 - Dordrecht, Netherland: Springer.
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  • Computational Agents as a Test-Bed to Study the Philosophical Dialogue Model "DE": A Development of Mackenzie's DC.Tangming Yuan, David Moore & Alec Grierson - 2003 - Informal Logic 23 (3):263-284.
    This paper reports research concerning a suitable dialogue model for human computer debate. In particular, we consider the adoption of Moore's (1993) utilization of Mackenzie's (1979) game DC, means of using computational agents as the test-bed to facilitate evaluation of the proposed model, and means of using the evaluation results as motivation to further develop a dialogue model, which can prevent fallacious argument and common errors. It is anticipated that this work will contribute toward the development of human computer dialogue, (...)
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  • A domain specific language for describing diverse systems of dialogue.S. Wells & C. A. Reed - 2012 - Journal of Applied Logic 10 (4):309-329.
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  • An object model for use in oral and written advocacy.Charles Unwin - 2008 - Artificial Intelligence and Law 16 (4):389-402.
    This paper describes the author’s development and use of a diagramming model in preparing a legal case for which he was responsible. He combined Wigmorean analysis and object oriented techniques in order to model arguments based on generalisations taken from the real world and from legal precedent. The paper addresses the modelling issues, but in particular identifies the very real benefits that affected the way the case was conducted. Those areas in which the model came into its own were principally (...)
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  • Natural language generation of biomedical argumentation for lay audiences.Nancy Green, Rachael Dwight, Kanyamas Navoraphan & Brian Stadler - 2011 - Argument and Computation 2 (1):23 - 50.
    This article presents an architecture for natural language generation of biomedical argumentation. The goal is to reconstruct the normative arguments that a domain expert would provide, in a manner that is transparent to a lay audience. Transparency means that an argument's structure and functional components are accessible to its audience. Transparency is necessary before an audience can fully comprehend, evaluate or challenge an argument, or re-evaluate it in light of new findings about the case or changes in scientific knowledge. The (...)
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  • The Three Faces of Defeasibility in the Law.Henry Prakken & Giovanni Sartor - 2004 - Ratio Juris 17 (1):118-139.
    In this paper we will analyse the issue of defeasibility in the law, taking into account research carried out in philosophy, artificial intelligence and legal theory. We will adopt a very general idea of legal defeasibility, in which we will include all different ways in which certain legal conclusions may need to be abandoned, though no mistake was made in deriving them. We will argue that defeasibility in the law involves three different aspects, which we will call inference‐based defeasibility, process‐based (...)
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  • Law and logic: A review from an argumentation perspective.Henry Prakken & Giovanni Sartor - 2015 - Artificial Intelligence 227 (C):214-245.
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  • Formalising ordinary legal disputes: A case study. [REVIEW]Henry Prakken - 2008 - Artificial Intelligence and Law 16 (4):333-359.
    This paper presents a formal reconstruction of a Dutch civil legal case in Prakken’s formal model of adjudication dialogues. The object of formalisation is the argumentative speech acts exchanged during the dispute by the adversaries and the judge. The goal of this formalisation is twofold: to test whether AI & law models of legal dialogues in general, and Prakken’s model in particular, are suitable for modelling particular legal procedures; and to learn about the process of formalising an actual legal dispute.
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  • A formal model of adjudication dialogues.Henry Prakken - 2008 - Artificial Intelligence and Law 16 (3):305-328.
    This article presents a formal dialogue game for adjudication dialogues. Existing AI & law models of legal dialogues and argumentation-theoretic models of persuasion are extended with a neutral third party, to give a more realistic account of the adjudicator’s role in legal procedures. The main feature of the model is a division into an argumentation phase, where the adversaries plea their case and the adjudicator has a largely mediating role, and a decision phase, where the adjudicator decides the dispute on (...)
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  • Retraction and Revocation in Agent Deliberation Dialogs.Peter McBurney & Simon Parsons - 2007 - Argumentation 21 (3):269-289.
    We present a generic denotational semantic framework for protocols for dialogs between rational and autonomous agents over action which allows for retraction and revocation of proposals for action. The semantic framework views participants in a deliberation dialog as jointly and incrementally manipulating the contents of shared spaces of action-intention tokens. The framework extends prior work by decoupling the identity of an agent who first articulates a proposal for action from the identity of any agent then empowered to retract or revoke (...)
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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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  • Assessing debate strategies via computational agents.Alec Grierson, David Moore & Tangming Yuan - 2010 - Argument and Computation 1 (3):215-248.
    This paper reports our research concerning dialogue strategies suitable for adoption by a human-computer debating system. We propose a set of strategic heuristics for a computer to adopt to enable it to function as a dialogue participant. In particular, we consider means of assessing the proposed strategy. A system involving two agents in dialogue with each other and a human-agent debate system are constructed and subsequently used to facilitate the evaluations. The evaluations suggest that the proposed strategy can enable the (...)
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  • Thirty years of Artificial Intelligence and Law: the first decade. [REVIEW]Guido Governatori, Trevor Bench-Capon, Bart Verheij, Michał Araszkiewicz, Enrico Francesconi & Matthias Grabmair - 2022 - Artificial Intelligence and Law 30 (4):481-519.
    The first issue of _Artificial Intelligence and Law_ journal was published in 1992. This paper provides commentaries on landmark papers from the first decade of that journal. The topics discussed include reasoning with cases, argumentation, normative reasoning, dialogue, representing legal knowledge and neural networks.
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  • A Framework for Deliberation Dialogues.David Hitchcock, Peter Mcburney & Simon Parsons - unknown
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