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Argumentation Methods for Artificial Intelligence in Law

Berlin and Heidelberg: Springer (2005)

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  1. Scientific explanation and the sense of understanding.J. D. Trout - 2002 - Philosophy of Science 69 (2):212-233.
    Scientists and laypeople alike use the sense of understanding that an explanation conveys as a cue to good or correct explanation. Although the occurrence of this sense or feeling of understanding is neither necessary nor sufficient for good explanation, it does drive judgments of the plausibility and, ultimately, the acceptability, of an explanation. This paper presents evidence that the sense of understanding is in part the routine consequence of two well-documented biases in cognitive psychology: overconfidence and hindsight. In light of (...)
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  • Logic and Conversation.H. Paul Grice - 1989 - In Studies in the Way of Words. Harvard University Press. pp. 22-40.
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  • Abduction as belief revision.Craig Boutilier & Veronica Beche - 1995 - Artificial Intelligence 77 (1):43-94.
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  • A model of legal reasoning with cases incorporating theories and values.Trevor Bench-Capon & Giovanni Sartor - 2003 - Artificial Intelligence 150 (1-2):97-143.
    Reasoning with cases has been a primary focus of those working in AI and law who have attempted to model legal reasoning. In this paper we put forward a formal model of reasoning with cases which captures many of the insights from that previous work. We begin by stating our view of reasoning with cases as a process of constructing, evaluating and applying a theory. Central to our model is a view of the relationship between cases, rules based on cases, (...)
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  • Argument in artificial intelligence and law.Trevor Bench-Capon - 1997 - Artificial Intelligence and Law 5 (4):249-261.
    In this paper I shall discuss the notion of argument, and the importanceof argument in AI and Law. I shall distinguish four areas where argument hasbeen applied: in modelling legal reasoning based on cases; in thepresentation and explanation of results from a rule based legal informationsystem; in the resolution of normative conflict and problems ofnon-monotonicity; and as a basis for dialogue games to support the modellingof the process of argument. The study of argument is held to offer prospectsof real progress (...)
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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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  • Rethinking the Fallacy of Hasty Generalization.Douglas Walton - 1999 - Argumentation 13 (2):161-182.
    This paper makes a case for a refined look at the so- called ‘fallacy of hasty generalization’ by arguing that this expression is an umbrella term for two fallacies already distinguished by Aristotle. One is the fallacy of generalizing in an inappropriate way from a particular instance to a universal generalization containing a ‘for all x’ quantification. The other is the secundum quid (‘in a certain respect’) fallacy of moving to a conclusion that is supposed to be a universal generalization (...)
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  • Dialectical Relevance in Persuasion Dialogue.Douglas Walton - 1999 - Informal Logic 19 (2).
    How to model relevance in argumentation is an important problem for informal logic. Dialectical relcvance is determined by the use of an argument for some purpose in different types of dialogue, according to the ncw dialectic. A central type of dialogue is persuasion dialogue in which one participant uses rational argumentation to try to get the other participant to accept a designated proposition. In this paper, a method for judging relevance in persuasion dialogue is presented. The method is based on (...)
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  • Abductive, presumptive and plausible arguments.Douglas Walton - 2001 - Informal Logic 21 (2).
    Current practice in logic increasingly accords recognition to abductive, presumptive or plausible arguments, in addition to deductive and inductive arguments. But there is uncertainty about what these terms exactly mean, what the differences between them are (if any), and how they relate. By examining some analyses ofthese terms and some of the history of the subject (including the views of Peirce and Cameades), this paper sets out considerations leading to a set of definitions, discusses the relationship of these three forms (...)
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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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  • Explanation as unification.Gerhard Schurz - 1999 - Synthese 120 (1):95-114.
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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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  • Relating Protocols For Dynamic Dispute With Logics For Defeasible Argumentation.Henry Prakken - 2001 - Synthese 127 (1-2):187-219.
    This article investigates to what extent protocols for dynamicdisputes, i.e., disputes in which the information base can vary at differentstages, can be justified in terms of logics for defeasible argumentation. Firsta general framework is formulated for dialectical proof theories for suchlogics. Then this framework is adapted to serve as a framework for protocols fordynamic disputes, after which soundness and fairness properties are formulated for such protocols relative to dialectical proof theories. It then turns out that certaintypes of protocols that are (...)
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  • Argument-based extended logic programming with defeasible priorities.Henry Prakken & Giovanni Sartor - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):25-75.
    ABSTRACT Inspired by legal reasoning, this paper presents a semantics and proof theory of a system for defeasible argumentation. Arguments are expressed in a logic-programming language with both weak and strong negation, conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that these priorities are not fixed, but are themselves defeasibly derived as conclusions within the system. Thus debates on the choice between conflicting arguments can also be modelled. The (...)
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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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  • The bayesianism debate in legal scholarship.Ephraim Nissan - 2001 - Artificial Intelligence and Law 9 (2-3):199-214.
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  • Semantic Considerations on nonmonotonic Logic.Robert C. Moore - 1985 - Artificial Intelligence 25 (1):75-94.
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  • Dialogue Games in Multi-Agent Systems.Peter McBurney & Simon Parsons - 2002 - Informal Logic 22 (3).
    Formal dialogue games have been studied in philosophy since at least the time of Aristotle. Recently they have been applied in various contexts in computer science and artificial intelligence, particularly as the basis for interaction between autonomous software agents. We review these applications and discuss the many open research questions and challenges at this exciting interface between philosophy and computer science.
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  • Four dialogue systems.Jim Mackenzie - 1990 - Studia Logica 49 (4):567 - 583.
    The paper describes four dialogue systems, developed in the tradition of Charles Hamblin. The first system provides an answer for Achilles in Lewis Carroll's parable, the second an analysis of the fallacy of begging the question, the third a non-psychologistic account of conversational implicature, and the fourth an analysis of equivocation and of objections to it. Each avoids combinatorial explosions, and is intended for real-time operation.
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  • Thomas F. Gordon, The Pleadings Game – An Artificial Intelligence Model of Procedural Justice. [REVIEW]Arno R. Lodder - 2000 - Artificial Intelligence and Law 8 (2-3):255-264.
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  • The Problem Of Retraction In Critical Discussion.Erik C. W. Krabbe - 2001 - Synthese 127 (1-2):141-159.
    In many contexts a retraction of commitment isfrowned upon. For instance, it is not appreciated,generally, if one withdraws a promise or denies anearlier statement. Critical discussion, too, caneasily be disrupted by retractions, if these occur toofrequently and at critical points. But on the otherhand, the very goal of critical discussion –resolution of a dispute – involves a retraction,either of doubt, or of some expressed point of view.A person who never retracts, not even under pressureof cogent arguments, would hardly qualify as (...)
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  • On the Art of Finding Arguments: What Ancient and Modern Masters of Invention Have to Tell Us About the "Ars Inveniendi".Manfred Kienpointner - 1997 - Argumentation 11 (2):225-236.
    This paper deals with what has been called "ars inveniendi" (’art of finding‘) in antiquity, medieval and early modern times. A survey of different techniques of finding tenable and relevant arguments is presented (among them, the Topical tradition, Status theory, Debate theory, Encyclopedic systems, Creativity techniques). Their advantages and disadvantages are critically compared. It is suggested that a mixture of strategies of finding arguments should be used. Finally, a few remarks showing the relationship beween the strategies of finding arguments and (...)
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  • Speech acts and arguments.Scott Jacobs - 1989 - Argumentation 3 (4):345-365.
    Speech act theory seems to provide a promising avenue for the analysis of the functional organization of argument. The theory, however, might be taken to suggest that arguments are a homogenous class of speech act with a specifiable illocutionary force and a single set of felicity conditions. This suggestion confuses the analysis of the meaning of speech act verbs with the analysis of the pragmatic structure of actual language use. Suggesting that arguments are conveyed through a homogeneous class of linguistic (...)
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  • Enthymematic Arguments.David Hitchcock - 1985 - Informal Logic 7 (2).
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  • The Games of Logic and the Games of Inquiry.Jaakko Hintikka - 1995 - Dialectica 49 (2‐4):229-250.
    SummaryTruth‐definitions play a crucial role in the foundations of logic and semantics. Tarsik‐type truth‐definitions are not possible to formulate in a usual first‐order language for itself, and they have been criticized because they do not account for what makes them definitions of truth. It has been suggested that truth should instead be characterized by reference to the «language‐games» of verification and falsification. The author's game‐theoretical semantics here explained for formal first‐order languages, can be thought of as a realization of this (...)
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  • Mathematical models of dialogue.C. L. Hamblin - 1971 - Theoria 37 (2):130-155.
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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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  • Towards Computational Rhetoric.Floriana Grasso - 2002 - Informal Logic 22 (3).
    The notions of argument and argumentation have become increasingly ubiquitous in Artificial Intelligence research, with various application and interpretations. Less attention has been, however, specifically devoted to rhetorical argument The work presented in this paper aims at bridging this gap, by proposing a framework for characterising rhetorical argumentation, based on Perelman and Olbrechts-Tyteca's New Rhetoric. The paper provides an overview of the state of the art of computational work based on, or dealing with, rhetorical aspects of argumentation, before presenting the (...)
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  • Folk psychology as simulation.Robert M. Gordon - 1986 - Mind and Language 1 (2):158-71.
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  • Explanation and scientific understanding.Michael Friedman - 1974 - Journal of Philosophy 71 (1):5-19.
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  • Dialectics and the macrostructure of arguments: a theory of argument structure.James B. Freeman - 1991 - Berlin ; New York: Foris Publications.
    Chapter The Need for a Theory of Argument Structure. THE STANDARD APPROACH The approach to argument diagramming which we call standard was originated, ...
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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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  • Explanation explained.Jan Faye - 1999 - Synthese 120 (1):61-75.
    Many philosophers consider explanation to be objective such that facts explain facts independently of human beings. This paper rejects such an ontological view and argues in favor of an epistemic view, named the pragmatic-rhetorical view, according to which explanations depend on our knowledge and are grounded in the public or scientific discourse.
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  • Identifying implicit assumptions.Robert H. Ennis - 1982 - Synthese 51 (1):61 - 86.
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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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  • A truth maintenance system.Jon Doyle - 1979 - Artificial Intelligence 12 (3):231-272.
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  • Reduction and understanding.Dennis Dieks & Henk W. de Regt - 1998 - Foundations of Science 3 (1):45-59.
    Reductionism, in the sense of the doctrine that theories on different levels of reality should exhibit strict and general relations of deducibility, faces well-known difficulties. Nevertheless, the idea that deeper layers of reality are responsible for what happens at higher levels is well-entrenched in scientific practice. We argue that the intuition behind this idea is adequately captured by the notion of supervenience: the physical state of the fundamental physical layers fixes the states of the higher levels. Supervenience is weaker than (...)
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  • The pragmatics of explanation.Bas C. Van Fraassen - 1977 - American Philosophical Quarterly 14 (2):143-150.
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  • Theories of evidence: Bentham and Wigmore.William Twining - 1985 - Stanford, Calif.: Stanford University Press.
    The Rationalist Tradition of evidence scholarship1 The history of the law of evidence is the history of a series of largely isolated responses to particular ...
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  • Logic and Conversation.H. Paul Grice - 1975 - In Maite Ezcurdia & Robert J. Stainton (eds.), The Semantics-Pragmatics Boundary in Philosophy. Broadview Press. pp. 47.
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  • Explanatory unification and the causal structure of the world.Philip Kitcher - 1989 - In Philip Kitcher & Wesley Salmon (eds.), Scientific Explanation. Minneapolis: University of Minnesota Press. pp. 410-505.
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  • Modelling Defeasibility in Law: Logic or Procedure?Henry Prakken - 2001 - Fundamenta Informaticae 48 (2-3):253-271.
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  • Why-Questions.Sylvain Bromberger - 1966 - In Robert G. Colodny (ed.), Mind and Cosmos -- Essays in Contemporary Science and Philosophy. University of Pittsburgh Press. pp. 86--111.
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  • Nonfallacious Arguments from Ignorance.Douglas Walton - 1992 - American Philosophical Quarterly 29 (4):381 - 387.
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  • Statistical explanation.Wesley C. Salmon - 1970 - In Robert Colodny (ed.), The Nature and Function of Scientific Theories. University of Pittsburgh Press. pp. 173--231.
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  • on Contemporary Developments In The Theory Of Argumentation.Dieter Mans & Gerhard Preyer - 1999 - ProtoSociology 13.
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