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  1. Evaluating Arguments Based on Toulmin’s Scheme.Bart Verheij - 2005 - Argumentation 19 (3):347-371.
    Toulmin’s scheme for the layout of arguments (1958, The Uses of Argument, Cambridge University Press, Cambridge) represents an influential tool for the analysis of arguments. The scheme enriches the traditional premises-conclusion model of arguments by distinguishing additional elements, like warrant, backing and rebuttal. The present paper contains a formal elaboration of Toulmin’s scheme, and extends it with a treatment of the formal evaluation of Toulmin-style arguments, which Toulmin did not discuss at all. Arguments are evaluated in terms of a so-called (...)
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  • A factor-based definition of precedential constraint.John F. Horty & Trevor J. M. Bench-Capon - 2012 - Artificial Intelligence and Law 20 (2):181-214.
    This paper describes one way in which a precise reason model of precedent could be developed, based on the general idea that courts are constrained to reach a decision that is consistent with the assessment of the balance of reasons made in relevant earlier decisions. The account provided here has the additional advantage of showing how this reason model can be reconciled with the traditional idea that precedential constraint involves rules, as long as these rules are taken to be defeasible. (...)
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  • Solving a Murder Case by Asking Critical Questions: An Approach to Fact-Finding in Terms of Argumentation and Story Schemes. [REVIEW]Floris Bex & Bart Verheij - 2012 - Argumentation 26 (3):325-353.
    In this paper, we look at reasoning with evidence and facts in criminal cases. We show how this reasoning may be analysed in a dialectical way by means of critical questions that point to typical sources of doubt. We discuss critical questions about the evidential arguments adduced, about the narrative accounts of the facts considered, and about the way in which the arguments and narratives are connected in an analysis. Our treatment shows how two different types of knowledge, represented as (...)
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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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  • Dialectical models in artificial intelligence and law.Jaap Hage - 2000 - Artificial Intelligence and Law 8 (2-3):137-172.
    Dialogues and dialectics have come to playan important role in the field of ArtificialIntelligence and Law. This paper describes thelegal-theoretical and logical background of this role,and discusses the different services into whichdialogues are put. These services include:characterising logical operators, modelling thedefeasibility of legal reasoning, providing the basisfor legal justification and identifying legal issues,and establishing the law in concrete cases. Specialattention is given to the requirements oflaw-establishing dialogues.
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  • Comparing alternatives in the law.Jaap Hage - 2004 - Artificial Intelligence and Law 12 (3):181-225.
    This paper argues the thesis that a particular style of reasoning, qualitative comparative reasoning (QCR), plays a role in at least three areas of legal reasoning that are central in AI and law research, namely legal theory construction, case-based reasoning in the form of case comparison, and legal proof. The paper gives an informal exposition of one particular way to deal with QCR, based on the author’s previous work on reason-based logic (RBL). Then it contains a substantially adapted formalisation of (...)
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  • Evidential Reasoning.Marcello Di Bello & Bart Verheij - 2011 - In G. Bongiovanni, Don Postema, A. Rotolo, G. Sartor, C. Valentini & D. Walton (eds.), Handbook in Legal Reasoning and Argumentation. Dordrecht, Netherland: Springer. pp. 447-493.
    The primary aim of this chapter is to explain the nature of evidential reasoning, the characteristic difficulties encountered, and the tools to address these difficulties. Our focus is on evidential reasoning in criminal cases. There is an extensive scholarly literature on these topics, and it is a secondary aim of the chapter to provide readers the means to find their way in historical and ongoing debates.
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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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  • 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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  • 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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  • 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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  • On Logic in the Law: "Something, but not All".Susan Haack - 2007 - Ratio Juris 20 (1):1-31.
    In 1880, when Oliver Wendell Holmes (later to be a Justice of the U.S. Supreme Court) criticized the logical theology of law articulated by Christopher Columbus Langdell (the first Dean of Harvard Law School), neither Holmes nor Langdell was aware of the revolution in logic that had begun, the year before, with Frege's Begriffsschrift. But there is an important element of truth in Holmes's insistence that a legal system cannot be adequately understood as a system of axioms and corollaries; and (...)
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  • A new dialectical theory of explanation.Douglas Walton - 2004 - Philosophical Explorations 7 (1):71 – 89.
    This paper offers a dialogue theory of explanation. A successful explanation is defined as a transfer of understanding in a dialogue system in which a questioner and a respondent take part. The questioner asks a special sort of why-question that asks for understanding of something and the respondent provides a reply that transfers understanding to the questioner. The theory is drawn from recent work on explanation in artificial intelligence (AI), especially in expert systems, but applies to scientific, legal and everyday (...)
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  • Dialogue Types, Argumentation Schemes, and Mathematical Practice: Douglas Walton and Mathematics.Andrew Aberdein - 2021 - Journal of Applied Logics 8 (1):159-182.
    Douglas Walton’s multitudinous contributions to the study of argumentation seldom, if ever, directly engage with argumentation in mathematics. Nonetheless, several of the innovations with which he is most closely associated lend themselves to improving our understanding of mathematical arguments. I concentrate on two such innovations: dialogue types (§1) and argumentation schemes (§2). I argue that both devices are much more applicable to mathematical reasoning than may be commonly supposed.
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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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  • Weighing and Balancing in the Justification of Judicial Decisions.Eveline Feteris - 2008 - Informal Logic 28 (1):20-30.
    In legal theory, it is widely claimed that decisions in hard cases are based on weighing and balancing. However no reconstructions are given of the deep structure of the complex argumentation underlying the justification of these decisions. The author develops a model for the analysis of weighing and balancing of arguments in the justification of judicial decisions that are based on teleological-evaluative considerations. The justification is reconstructed as a complex argumentation that consists of different levels of argumentation and it is (...)
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  • The modular logic of private international law.Phan Minh Dung & Giovanni Sartor - 2011 - Artificial Intelligence and Law 19 (2-3):233-261.
    We provide a logical analysis of private international law, a rather esoteric, but increasingly important, domain of the law. Private international law addresses overlaps and conflicts between legal systems by distributing cases between the authorities of such systems (jurisdiction) and establishing what rules these authorities have to apply to each case (choice of law). A formal model of the resulting interactions between legal systems is proposed based on modular argumentation. It is argued that this model may also be useful for (...)
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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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  • 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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  • 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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  • 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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  • Legal concepts as inferential nodes and ontological categories.Giovanni Sartor - 2009 - Artificial Intelligence and Law 17 (3):217-251.
    I shall compare two views of legal concepts: as nodes in inferential nets and as categories in an ontology (a conceptual architecture). Firstly, I shall introduce the inferential approach, consider its implications, and distinguish the mere possession of an inferentially defined concept from the belief in the concept’s applicability, which also involves the acceptance of the concept’s constitutive inferences. For making this distinction, the inferential and eliminative analysis of legal concepts proposed by Alf Ross will be connected to the views (...)
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  • Understanding the law: Improving legal knowledge dissemination by translating the contents of formal sources of law. [REVIEW]Laurens Mommers, Wim Voermans, Wouter Koelewijn & Hugo Kielman - 2009 - Artificial Intelligence and Law 17 (1):51-78.
    Considerable attention has been given to the accessibility of legal documents, such as legislation and case law, both in legal information retrieval (query formulation, search algorithms), in legal information dissemination practice (numerous examples of on-line access to formal sources of law), and in legal knowledge-based systems (by translating the contents of those documents to ready-to-use rule and case-based systems). However, within AI & law, it has hardly ever been tried to make the contents of sources of law, and the relations (...)
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  • Douglas Walton, the new dialectic. Conversational contexts of argument. Toronto: University of toronto press (book review). [REVIEW]Bart Verheij - 2001 - Artificial Intelligence and Law 9 (4):305-313.
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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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  • An integrated view on rules and principles.Bart Verheij, Jaap C. Hage & H. Jaap Van Den Herik - 1998 - Artificial Intelligence and Law 6 (1):3-26.
    In the law, it is generally acknowledged that there are intuitive differences between reasoning with rules and reasoning with principles. For instance, a rule seems to lead directly to its conclusion if its condition is satisfied, while a principle seems to lead merely to a reason for its conclusion. However, the implications of these intuitive differences for the logical status of rules and principles remain controversial.A radical opinion has been put forward by Dworkin (1978). The intuitive differences led him to (...)
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  • Fundamental legal concepts: A formal and teleological characterisation. [REVIEW]Giovanni Sartor - 2006 - Artificial Intelligence and Law 14 (1-2):101-142.
    We shall introduce a set of fundamental legal concepts, providing a definition of each of them. This set will include, besides the usual deontic modalities (obligation, prohibition and permission), the following notions: obligative rights (rights related to other’s obligations), permissive rights, erga-omnes rights, normative conditionals, liability rights, different kinds of legal powers, potestative rights (rights to produce legal results), result-declarations (acts intended to produce legal determinations), and sources of the law.
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  • Henry Prakken, logical tools for modelling legal argument: A study of defeasible reasoning in law. [REVIEW]L. M. M. Royakkers - 2000 - Journal of Logic, Language and Information 9 (3):379-387.
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  • Modelling last-act attempted crime in criminal law.Jiraporn Pooksook, Phan Minh Dung, Ken Satoh & Giovanni Sartor - 2019 - Journal of Applied Non-Classical Logics 29 (4):327-357.
    In the court of law, a person can be punished for attempting to commit a crime. An open issue in the study of Artificial Intelligence and Law is whether the law of attempts could be formally modelled. There are distinct legal rules for determining attempted crime whereas the last-act rule (also called proximity rule) represents the strictest approach. In this paper, we provide a formal model of the last-act rule using structured argumentation.
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  • Jumps and logic in the law.Aleksander Peczenik - 1996 - Artificial Intelligence and Law 4 (3-4):297-329.
    The main stream of legal theory tends to incorporate unwritten principles into the law. Weighing of principles plays a great role in legal argumentation, inter alia in statutory interpretation. A weighing and balancing of principles and other prima facie reasons is a jump. The inference is not conclusive.To deal with defeasibility and weighing, a jurist needs both the belief-revision logic and the nonmonotonic logic. The systems of nonmonotonic logic included in the present volume provide logical tools enabling one to speak (...)
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  • Can Philosophy Help Legal Doctrine?Aleksander Peczenik - 2004 - Ratio Juris 17 (1):106-117.
    Legal doctrine is a kind of legal research, occupying the central position in professional legal writing, e.g., handbooks, monographs, commentaries and legal textbooks etc. It consists of a description of the literal sense of legal statutes, precedents etc., intertwined with many moral and other substantive reasons. Legal doctrine has normative components, and produces coherence in the law in many aspects. It also produces some justice. However, legal doctrine has faced repeated criticism, not least from minimalist philosophers.The author proposes a “Copernican (...)
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  • Law and Coherence.Jaap Hage - 2004 - Ratio Juris 17 (1):87-105.
    This paper deals with the questions of whether the law should be coherent and what this coherence would amount to. In this connection so‐called “integrated coherentism” is introduced. According to integrated coherentism, an acceptance set is coherent if and only if it contains everything that should rationally be accepted according to what else one accepts and does not contain anything that should rationally be rejected according to what else one accepts. Such an acceptance set is ideally a theory of everything, (...)
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  • On argument acceptability change towards legal interpretation dynamics.Martín O. Moguillansky & Luciano H. Tamargo - 2020 - Artificial Intelligence and Law 29 (3):311-350.
    We propose a formal theory built upon an abstract argumentation framework for handling argumentation dynamics. To that end, we analyze the acceptability dynamics of arguments through the proposal of two different kinds of sets of arguments which are somehow responsible for the acceptability/rejection of a given argument. We develop a study of the consequences of breaking the construction of such sets towards the acceptance of an analyzed argument. This brings about the proposal of a novel change operation which allows to (...)
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  • The Analysis and Evaluation of Legal Argumentation: Approaches from Legal Theory and Argumentation Theory.Eveline Feteris & Harm Klossterhuis - 2009 - Studies in Logic, Grammar and Rhetoric 16 (29).
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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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  • Argumentation Theory and the conception of epistemic justification.Lilian Bermejo-Luque - 2009 - In Marcin Koszowy (ed.), Informal logic and argumentation theory. Białystok: University of Białystok. pp. 285--303.
    I characterize the deductivist ideal of justification and, following to a great extent Toulmin’s work The Uses of Argument, I try to explain why this ideal is erroneous. Then I offer an alternative model of justification capable of making our claims to knowledge about substantial matters sound and reasonable. This model of justification will be based on a conception of justification as the result of good argumentation, and on a model of argumentation which is a pragmatic linguistic reconstruction of Toulmin’s (...)
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