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  1. Modular argumentation for modelling legal doctrines of performance relief.Nguyen Duy Hung, Phan Minh Thang & Phan Minh Dung - 2010 - Argument and Computation 1 (1):47-69.
    We present an argument-based formalism of contract dispute resolution following a modern view that the court would resolve a contract dispute by enforcing an interpretation of contract that reasonably represents the mutual intention of contract parties. Legal doctrines provide principles, rules and guidelines for the court to objectively arrive at such an interpretation. In this paper, we establish the appropriateness of the formalism by applying it to resolve disputes about performance relief with the legal doctrines of impossibility and frustration of (...)
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  • Defeasible reasoning and informal fallacies.Douglas Walton - 2011 - Synthese 179 (3):377 - 407.
    This paper argues that some traditional fallacies should be considered as reasonable arguments when used as part of a properly conducted dialog. It is shown that argumentation schemes, formal dialog models, and profiles of dialog are useful tools for studying properties of defeasible reasoning and fallacies. It is explained how defeasible reasoning of the most common sort can deteriorate into fallacious argumentation in some instances. Conditions are formulated that can be used as normative tools to judge whether a given defeasible (...)
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  • Rule consistency.Jaap Hage - 2000 - Law and Philosophy 19 (3):369-390.
    This paper develops the theory that a set of rules is consistent if it is not possible that (1) the conditions of the rules in the set are all satisfied, (2) there is no exception to either one of the rules, and (3) the consequences of the rules are incompatible. To this purpose the notion of consistency is generalised to make it cover rules and is relativised to some background of constraints.This theory is formalised by means of Rule Logic, in (...)
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  • Representation of formal dispute with astanding order.Gerard A. W. Vreeswijk - 2000 - Artificial Intelligence and Law 8 (2-3):205-231.
    Computational dialectics is concerned with the formal representation of argument and dispute. The field emerged from developments in philosophy, artificial intelligence and legal theory. Its goal is to suggestalgorithms, procedures and protocols to investigate the tenability of logical claims, on the basis of information in the form of rules and cases. Currently, the field slowlyconverges to the opinion that dispute is the most fair and effective way to investigate claims. The basic assumption of this field is that dispute is the (...)
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  • (1 other version)Argument from Expert Opinion as Legal Evidence: Critical Questions and Admissibility Criteria of Expert Testimony in the American Legal System.Douglas Walton David M. Godden - 2006 - Ratio Juris 19 (3):261-286.
    . While courts depend on expert opinions in reaching sound judgments, the role of the expert witness in legal proceedings is associated with a litany of problems. Perhaps most prevalent is the question of under what circumstances should testimony be admitted as expert opinion. We review the changing policies adopted by American courts in an attempt to ensure the reliability and usefulness of the scientific and technical information admitted as evidence. We argue that these admissibility criteria are best seen in (...)
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  • Indicators of obiter dicta. A pragma-dialectical analysis of textual clues for the reconstruction of legal argumentation.José Plug - 2000 - Artificial Intelligence and Law 8 (2-3):189-203.
    The question as to whether or not an argument isadditional may be decisive in the evaluation ofjudicial decisions. It is, however, often difficult todistinguish between arguments that are additional(obiter dicta) and arguments that are not (ratio decidendi). This paper will focus on twoproblems concerning this distinction: thecharacterization of obiter dicta and theiridentification. A pragma-dialectical approach toargumentation will be the framework in which theseproblems will be addressed. Its insights intodialogical aspects of argumentation will be used tocharacterize obiter dicta. And its assessment (...)
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  • Donald NUTE (ed.), Defeasible deontic logic.Jaap Hage - 2000 - Artificial Intelligence and Law 8 (1):75-91.
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  • Law and defeasibility.Jaap Hage - 2003 - Artificial Intelligence and Law 11 (2-3):221-243.
    The paper consists of three parts. In the first part five kinds of defeasibility are distinguished that is ontological, conceptual, epistemic, justification and logical defeasibility. In the second part it is argued that from these, justification defeat is the phenomenon that plays a role in legal reasoning. In the third part, the view is defended that non-monotonic logics are not necessary to model justification defeat, but that they are so to speak the natural way to model this phenomenon.
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  • The role of context in case-based legal reasoning: Teleological, temporal, and procedural. [REVIEW]Carole D. Hafner & Donald H. Berman - 2002 - Artificial Intelligence and Law 10 (1-3):19-64.
    Computational models of relevance in case-based legal reasoning have traditionallybeen based on algorithms for comparing the facts and substantive legal issues of aprior case to those of a new case. In this paper we argue that robust models ofcase-based legal reasoning must also consider the broader social and jurisprudentialcontext in which legal precedents are decided. We analyze three aspects of legalcontext: the teleological relations that connect legal precedents to the socialvalues and policies they serve, the temporal relations between prior andsubsequent (...)
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  • (1 other version)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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  • Try to see it my way: Modelling persuasion in legal discourse. [REVIEW]Trevor J. M. Bench-Capon - 2003 - Artificial Intelligence and Law 11 (4):271-287.
    In this paper I argue that to explain and resolve some kinds of disagreement we need to go beyond what logic alone can provide. In particular, following Perelman, I argue that we need to consider how arguments are ascribed different strengths by different audiences, according to how accepting these arguments promotes values favoured by the audience to which they are addressed. I show how we can extend the standard framework for modelling argumentation systems to allow different audiences to be represented. (...)
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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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  • How to justify a backing’s eligibility for a warrant: the justification of a legal interpretation in a hard case.Shiyang Yu & Xi Chen - 2023 - Artificial Intelligence and Law 31 (2):239-268.
    The Toulmin model has been proved useful in law and argumentation theory. This model describes the basic process in justifying a claim, which comprises six elements, i.e., claim (C), data (D), warrant (W), backing (B), qualifier (Q), and rebuttal (R). Specifically, in justifying a claim, one must put forward ‘data’ and a ‘warrant’, whereas the latter is authorized by ‘backing’. The force of the ‘claim’ being justified is represented by the ‘qualifier’, and the condition under which the claim cannot be (...)
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  • Explanation in AI and law: Past, present and future.Katie Atkinson, Trevor Bench-Capon & Danushka Bollegala - 2020 - Artificial Intelligence 289 (C):103387.
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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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  • Artificial argument assistants for defeasible argumentation.Bart Verheij - 2003 - Artificial Intelligence 150 (1-2):291-324.
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  • Statutory Interpretation as Argumentation.Douglas Walton, Giovanni Sartor & Fabrizio Macagno - 2011 - In Colin Aitken, Amalia Amaya, Kevin D. Ashley, Carla Bagnoli, Giorgio Bongiovanni, Bartosz Brożek, Cristiano Castelfranchi, Samuele Chilovi, Marcello Di Bello, Jaap Hage, Kenneth Einar Himma, Lewis A. Kornhauser, Emiliano Lorini, Fabrizio Macagno, Andrei Marmor, J. J. Moreso, Veronica Rodriguez-Blanco, Antonino Rotolo, Giovanni Sartor, Burkhard Schafer, Chiara Valentini, Bart Verheij, Douglas Walton & Wojciech Załuski (eds.), Handbook of Legal Reasoning and Argumentation. Dordrecht, Netherland: Springer Verlag. pp. 519-560.
    This chapter proposes a dialectical approach to legal interpretation, consisting of three dimensions: a formalization of the canons of interpretation in terms of argumentation schemes; a dialectical classification of interpretive schemes; and a logical and computational model for comparing the arguments pro and contra an interpretation. The traditional interpretive maxims or canons used in both common and civil law are translated into defeasible patterns of arguments, which can be evaluated through sets of corresponding critical questions. These interpretive argumentation schemes are (...)
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  • Hyperintensionality and Normativity.Federico L. G. Faroldi - 2019 - Cham, Switzerland: Springer Verlag.
    Presenting the first comprehensive, in-depth study of hyperintensionality, this book equips readers with the basic tools needed to appreciate some of current and future debates in the philosophy of language, semantics, and metaphysics. After introducing and explaining the major approaches to hyperintensionality found in the literature, the book tackles its systematic connections to normativity and offers some contributions to the current debates. The book offers undergraduate and graduate students an essential introduction to the topic, while also helping professionals in related (...)
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  • From Berman and Hafner’s teleological context to Baude and Sachs’ interpretive defaults: an ontological challenge for the next decades of AI and Law.Ronald P. Loui - 2016 - Artificial Intelligence and Law 24 (4):371-385.
    This paper revisits the challenge of Berman and Hafner’s “missing link” paper on representing teleological structure in case-based legal reasoning. It is noted that this was mainly an ontological challenge to represent some of what made legal reasoning distinctive, which was given less attention than factual similarity in the dominant AI and Law paradigm, deriving from HYPO. The response to their paper is noted and briefly evaluated. A parallel is drawn to a new challenge to provide deep structure to the (...)
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  • An arugmentation framework for contested cases of statutory interpertation.Douglas Walton, Giovanni Sartor & Fabrizio Macagno - 2016 - Artificial Intelligence and Law 24 (1):51-91.
    This paper proposes an argumentation-based procedure for legal interpretation, by reinterpreting the traditional canons of textual interpretation in terms of argumentation schemes, which are then classified, formalized, and represented through argument visualization and evaluation tools. The problem of statutory interpretation is framed as one of weighing contested interpretations as pro and con arguments. The paper builds an interpretation procedure by formulating a set of argumentation schemes that can be used to comparatively evaluate the types of arguments used in cases of (...)
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  • Pragmatic Maxims and Presumptions in Legal Interpretation.Fabrizio Macagno, Douglas Walton & Giovanni Sartor - 2018 - Law and Philosophy 37 (1):69-115.
    The fields of linguistic pragmatics and legal interpretation are deeply interrelated. The purpose of this paper is to show how pragmatics and the developments in argumentation theory can contribute to the debate on legal interpretation. The relation between the pragmatic maxims and the presumptions underlying the legal canons are brought to light, unveiling the principles that underlie the types of argument usually used to justify a construction. The Gricean maxims and the arguments of legal interpretation are regarded as presumptions subject (...)
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  • Probabilistic argumentation.Rolf Haenni - 2009 - Journal of Applied Logic 7 (2):155-176.
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  • Formalization of the ad hominem argumentation scheme.Douglas Walton - 2010 - Journal of Applied Logic 8 (1):1-21.
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  • Abstract Argumentation in Artificial Intelligence. Problems of Interpretation and Adequacy of Semantics for Decision Making.Gustavo Adrián Bodanza - unknown
    The abstract argumentation frameworks model is currently the most used tool for characterizing the justification of defeasible arguments in Artificial Intelligence. Justifications are determined on a given attack relation among arguments and are formalized as extension semantics. In this work we argue that, contrariwise to the assumptions in that model, either some argumentation frameworks are meaningless under certain concrete definitions of the attack relation, or some of the most used extension semantics in the literature, based on the defense notion of (...)
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  • The Logic of Reasons.Shyam Nair & John Horty - 2018 - In Daniel Star (ed.), The Oxford Handbook of Reasons and Normativity. New York, NY, United States of America: Oxford University Press. pp. 67-84.
    In this chapter, we begin by sketching in the broadest possible strokes the ideas behind two formal systems that have been introduced with to goal of explicating the ways in which reasons interact to support the actions and conclusions they do. The first of these is the theory of defeasible reasoning developed in the seminal work of Pollock; the second is a more recent theory due to Horty, which adapts and develops the default logic introduced by Reiter to provide an (...)
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  • An improved factor based approach to precedential constraint.Adam Rigoni - 2015 - Artificial Intelligence and Law 23 (2):133-160.
    In this article I argue for rule-based, non-monotonic theories of common law judicial reasoning and improve upon one such theory offered by Horty and Bench-Capon. The improvements reveal some of the interconnections between formal theories of judicial reasoning and traditional issues within jurisprudence regarding the notions of the ratio decidendi and obiter dicta. Though I do not purport to resolve the long-standing jurisprudential issues here, it is beneficial for theorists both of legal philosophy and formalizing legal reasoning to see where (...)
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  • Non-deductive Logic in Mathematics: The Probability of Conjectures.James Franklin - 2013 - In Andrew Aberdein & Ian J. Dove (eds.), The Argument of Mathematics. Dordrecht, Netherland: Springer. pp. 11--29.
    Mathematicians often speak of conjectures, yet unproved, as probable or well-confirmed by evidence. The Riemann Hypothesis, for example, is widely believed to be almost certainly true. There seems no initial reason to distinguish such probability from the same notion in empirical science. Yet it is hard to see how there could be probabilistic relations between the necessary truths of pure mathematics. The existence of such logical relations, short of certainty, is defended using the theory of logical probability (or objective Bayesianism (...)
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  • Defeasibility in Judicial Opinion: Logical or Procedural?David Godden & Douglas Walton - 2008 - Informal Logic 28 (1):6-19.
    While defeasibility in legal reasoning has been the subject of recent scholarship, it has yet to be studied in the context of judicial opinion. Yet, being subject to appeal, judicial decisions can default for a variety of reasons. Prakken (2001) argued that the defeasibility affecting reasoning involved in adversarial legal argumentation is best analysed as procedural rather than logical. In this paper we argue that the defeasibility of ratio decendi is similarly best explained and modeled in a procedural and dialectical (...)
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  • Reasoning with Factors.Giovanni Sartor - 2005 - Argumentation 19 (4):417-432.
    The paper proposes an analysis and a formalisation of factor-based reasoning. After examining the relevance of factors in legal reasoning, binary and scalable factors (dimensions) are distinguished and the relations between them are discussed. An account of a fortiori reasoning with both types of factors is developed.
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  • AI & Law, Logic and Argument Schemes.Henry Prakken - 2005 - Argumentation 19 (3):303-320.
    This paper reviews the history of AI & Law research from the perspective of argument schemes. It starts with the observation that logic, although very well applicable to legal reasoning when there is uncertainty, vagueness and disagreement, is too abstract to give a fully satisfactory classification of legal argument types. It therefore needs to be supplemented with an argument-scheme approach, which classifies arguments not according to their logical form but according to their content, in particular, according to the roles that (...)
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  • Legal stories and the process of proof.Floris Bex & Bart Verheij - 2013 - Artificial Intelligence and Law 21 (3):253-278.
    In this paper, we continue our research on a hybrid narrative-argumentative approach to evidential reasoning in the law by showing the interaction between factual reasoning (providing a proof for ‘what happened’ in a case) and legal reasoning (making a decision based on the proof). First we extend the hybrid theory by making the connection with reasoning towards legal consequences. We then emphasise the role of legal stories (as opposed to the factual stories of the hybrid theory). Legal stories provide a (...)
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  • Computational Dialectic and Rhetorical Invention.Douglas Walton - 2011 - AI and Society 26 (1):2011.
    This paper has three dimensions, historical, theoretical and social. The historical dimension is to show how the Ciceronian system of dialectical argumentation served as a precursor to computational models of argumentation schemes such as Araucaria and Carneades. The theoretical dimension is to show concretely how these argumentation schemes reveal the interdependency of rhetoric and logic, and so the interdependency of the normative with the empirical. It does this by identifying points of disagreement in a dialectical format through using argumentation schemes (...)
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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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  • Deliberative discourse and reasoning from generic argument structures.John L. Yearwood & Andrew Stranieri - 2009 - AI and Society 23 (3):353-377.
    In this article a dialectical model for practical reasoning within a community, based on the Generic/Actual Argument Model (GAAM) is advanced and its application to deliberative dialogue discussed. The GAAM, offers a dynamic template for structuring knowledge within a domain of discourse that is connected to and regulated by a community. The paper demonstrates how the community accepted generic argument structure acts to normatively influence both admissible reasoning and the progression of dialectical reasoning between participants. It is further demonstrated that (...)
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  • Law, logic, rhetoric: A procedural model of legal argumentation.Arno R. Lodder - 2004 - In S. Rahman (ed.), Logic, Epistemology, and the Unity of Science. Dordrecht: Kluwer Academic Publishers. pp. 569--588.
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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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  • Reasons as Defaults.John Horty - 2007 - Philosophers' Imprint 7:1-28.
    The goal of this paper is to frame a theory of reasons--what they are, how they support actions or conclusions--using the tools of default logic. After sketching the basic account of reasons as provided by defaults, I show how it can be elaborated to deal with two more complicated issues: first, situations in which the priority relation among defaults, and so reasons as well, is itself established through default reasoning; second, the treatment of undercutting defeat and exclusionary reasons. Finally, and (...)
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  • Why non-monotonic logic is inadequate to represent balancing arguments.Jan-R. Sieckmann - 2003 - Artificial Intelligence and Law 11 (2-3):211-219.
    This paper analyses the logical structure of the balancing of conflicting normative arguments, and asks whether non-monotonic logic is adequate to represent this type of legal or practical reasoning. Norm conflicts are often regarded as a field of application for non-monotonic logics. This paper argues, however, that the balancing of normative arguments consists of an act of judgement, not a logical inference, and that models of deductive as well as of defeasible reasoning do not give an adequate account of its (...)
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  • An exercise in formalising teleological case-based reasoning.Henry Prakken - 2002 - Artificial Intelligence and Law 10 (1-3):113-133.
    This paper takes up Berman and Hafner's (1993) challenge to model legal case-based reasoning not just in terms of factual similarities and differences but also in terms of the values that are at stake. The formal framework of Prakken and Sartor (1998) is applied to examples of case-based reasoning involving values, and a method for formalising such examples is proposed. The method makes it possible to express that a case should be decided in a certain way because that advances certain (...)
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  • Introduction: Dialectical legal argument: Formal and informal models. [REVIEW]Eveline Feteris & Henry Prakken - 2000 - Artificial Intelligence and Law 8 (2-3):107-113.
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  • A dialogical theory of legal discussions:Pragma-dialectical analysis and evaluation of legalargumentation.Eveline T. Feteris - 2000 - Artificial Intelligence and Law 8 (2-3):115-135.
    In this paper, the author describes a dialogical approach tolegal argumentation from the perspective of argumentationtheory. In a pragma-dialectical approach of legalargumentation, the argumentation is considered to be part of acritical discussion aimed at the rational resolution of thedispute. The author describes how a pragma-dialecticalanalysis and evaluation of legal argumentation can be carriedout.
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  • Institutions with a hierarchy of authorities in distributed dynamic environments.Guido Boella & Leendert van der Torre - 2008 - Artificial Intelligence and Law 16 (1):53-71.
    A single global authority is not sufficient to regulate heterogenous agents in multiagent systems based on distributed architectures, due to idiosyncratic local situations and to the need to regulate new issues as soon as they arise. On the one hand institutions should be structured as normative systems with a hierarchy of authorities able to cope with the dynamics of local situations, but on the other hand higher authorities should be able to delimit the autonomy of lower authorities to issue valid (...)
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  • Before and after Dung: Argumentation in AI and Law.Francesca Toni - 2020 - Argument and Computation 11 (1-2):221-238.
    Dung’s abstract argumentation frameworks have had a very significant role in the rise in interest in argumentation throughout this century. In this paper we will explore the impact of this seminal...
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  • Two factor-based models of precedential constraint: a comparison and proposal.Robert Mullins - 2023 - Artificial Intelligence and Law 31 (4):703-738.
    The article considers two different interpretations of the reason model of precedent pioneered by John Horty. On a plausible interpretation of the reason model, past cases provide reasons to prioritize reasons favouring the same outcome as a past case over reasons favouring the opposing outcome. Here I consider the merits of this approach to the role of precedent in legal reasoning in comparison with a closely related view favoured by some legal theorists, according to which past cases provide reasons for (...)
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  • Thirty years of Artificial Intelligence and Law: the second decade.Giovanni Sartor, Michał Araszkiewicz, Katie Atkinson, Floris Bex, Tom van Engers, Enrico Francesconi, Henry Prakken, Giovanni Sileno, Frank Schilder, Adam Wyner & Trevor Bench-Capon - 2022 - Artificial Intelligence and Law 30 (4):521-557.
    The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on nine significant papers drawn from the Journal’s second decade. Four of the papers relate to reasoning with legal cases, introducing contextual considerations, predicting outcomes on the basis of natural language descriptions of the cases, comparing different ways of representing cases, and formalising precedential reasoning. One introduces a method of analysing arguments that was to become very widely used in AI and Law, namely (...)
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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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  • Argumentation schemes in AI and Law.Katie Atkinson & Trevor Bench-Capon - 2021 - Argument and Computation 12 (3):417-434.
    In this paper we describe the impact that Walton’s conception of argumentation schemes had on AI and Law research. We will discuss developments in argumentation in AI and Law before Walton’s schemes became known in that community, and the issues that were current in that work. We will then show how Walton’s schemes provided a means of addressing all of those issues, and so supplied a unifying perspective from which to view argumentation in AI and Law.
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  • Artificial intelligence as law. [REVIEW]Bart Verheij - 2020 - Artificial Intelligence and Law 28 (2):181-206.
    Information technology is so ubiquitous and AI’s progress so inspiring that also legal professionals experience its benefits and have high expectations. At the same time, the powers of AI have been rising so strongly that it is no longer obvious that AI applications (whether in the law or elsewhere) help promoting a good society; in fact they are sometimes harmful. Hence many argue that safeguards are needed for AI to be trustworthy, social, responsible, humane, ethical. In short: AI should be (...)
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  • A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. [REVIEW]Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald P. Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton & Adam Z. Wyner - 2012 - Artificial Intelligence and Law 20 (3):215-319.
    We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987. Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the paper discussed in the context of the development of AI and Law, while often offering some personal reactions and reflections. As a whole, the subsections build into (...)
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  • A model of juridical acts: part 1: the world of law. [REVIEW]Jaap Hage - 2011 - Artificial Intelligence and Law 19 (1):23-48.
    This paper aims at providing an account of juridical acts that forms a suitable starting point for the creation of computational systems that deal with juridical acts. The paper is divided into two parts. Because juridical acts will be analyzed as intentional changes in the world of law, the ‘furniture’ of this world, that consists broadly speaking of entities, facts and rules, plays a central role in the analysis. This first part of the paper deals with this furniture and its (...)
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