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  1. Argumentation Methods for Artificial Intelligence in Law.Douglas Walton - 2005 - Berlin and Heidelberg: Springer.
    Use of argumentation methods applied to legal reasoning is a relatively new field of study. The book provides a survey of the leading problems, and outlines how future research using argumentation-based methods show great promise of leading to useful solutions. The problems studied include not only these of argument evaluation and argument invention, but also analysis of specific kinds of evidence commonly used in law, like witness testimony, circumstantial evidence, forensic evidence and character evidence. New tools for analyzing these kinds (...)
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  • Arguing on the Toulmin Model: New Essays in Argument Analysis and Evaluation.David Hitchcock & Bart Verheij (eds.) - 2006 - Dordrecht, Netherland: Springer.
    In The Uses of Argument, Stephen Toulmin proposed a model for the layout of arguments: claim, data, warrant, qualifier, rebuttal, backing. Since then, Toulmin’s model has been appropriated, adapted and extended by researchers in speech communications, philosophy and artificial intelligence. This book assembles the best contemporary reflection in these fields, extending or challenging Toulmin’s ideas in ways that make fresh contributions to the theory of analysing and evaluating arguments.
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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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  • The epistemology of scientific evidence.Douglas Walton & Nanning Zhang - 2013 - Artificial Intelligence and Law 21 (2):173-219.
    In place of the traditional epistemological view of knowledge as justified true belief we argue that artificial intelligence and law needs an evidence-based epistemology according to which scientific knowledge is based on critical analysis of evidence using argumentation. This new epistemology of scientific evidence (ESE) models scientific knowledge as achieved through a process of marshaling evidence in a scientific inquiry that results in a convergence of scientific theories and research results. We show how a dialogue interface of argument from expert (...)
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  • Is there a burden of questioning?Douglas Walton - 2003 - Artificial Intelligence and Law 11 (1):1-43.
    In some recent cases in Anglo-American law juries ruled contrary to an expert's testimony even though that testimony was never challenged, contradicted or questioned in the trial. These cases are shown to raise some theoretical questions about formal dialogue systems in computational dialectical systems for legal argumentation of the kind recently surveyed by Bench-Capon (1997) and Hage (2000) in this journal. In such systems, there is a burden of proof, meaning that if the respondent questions an argument, the proponent is (...)
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  • An Automated System for Argument Invention in Law Using Argumentation and Heuristic Search Procedures.Douglas Walton - 2005 - Ratio Juris 18 (4):434-463.
    . A heuristic search procedure for inventing legal arguments is built on two tools already widely in use in argumentation. Argumentation schemes are forms of argument representing premise‐conclusion and inference structures of common types of arguments. Schemes especially useful in law represent defeasible arguments, like argument from expert opinion. Argument diagramming is a visualization tool used to display a chain of connected arguments linked together. One such tool, Araucaria, available free at , helps a user display an argument on the (...)
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  • 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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  • Artificial argument assistants for defeasible argumentation.Bart Verheij - 2003 - Artificial Intelligence 150 (1-2):291-324.
  • Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process.Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman Fenton & Lisa C. Webley - 2023 - Artificial Intelligence and Law 31 (1):169-194.
    Modelling that exploits visual elements and information visualisation are important areas that have contributed immensely to understanding and the computerisation advancements in many domains and yet remain unexplored for the benefit of the law and legal practice. This paper investigates the challenge of modelling and expressing structures and processes in legislation and the law by using visual modelling and information visualisation (InfoVis) to assist accessibility of legal knowledge, practice and knowledge formalisation as a basis for legal AI. The paper uses (...)
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  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • George C. Christie, the notion of an ideal audience in legal argument.Trevor J. M. Bench-Capon - 2001 - Artificial Intelligence and Law 9 (1):59-71.
  • Before and after Dung: Argumentation in AI and Law.T. J. M. Bench-Capon - 2020 - Argument and Computation 11 (1-2):221-238.
  • The Toulmin Model and Non-monotonic Reasoning.William Keith - unknown
    While the nature of warrants is unclear in both Toulmin’s Uses of Argument and in textbook pedagogy based on it, the theory of non-monotonic reasoning could clarify and enhance our understanding of warrants.
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