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  1. (1 other version)The Carneades model of argument and burden of proof.Thomas F. Gordon, Henry Prakken & Douglas Walton - 2007 - Artificial Intelligence 171 (10-15):875-896.
    We present a formal, mathematical model of argument structure and evaluation, taking seriously the procedural and dialogical aspects of argumentation. The model applies proof standards to determine the acceptability of statements on an issue-by-issue basis. The model uses different types of premises (ordinary premises, assumptions and exceptions) and information about the dialectical status of statements (stated, questioned, accepted or rejected) to allow the burden of proof to be allocated to the proponent or the respondent, as appropriate, for each premise separately. (...)
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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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  • Using background knowledge in case-based legal reasoning: A computational model and an intelligent learning environment.Vincent Aleven - 2003 - Artificial Intelligence 150 (1-2):183-237.
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  • The Uses of Argument.Stephen Toulmin - 1958 - Cambridge, England: Cambridge University Press.
    A central theme throughout the impressive series of philosophical books and articles Stephen Toulmin has published since 1948 is the way in which assertions and opinions concerning all sorts of topics, brought up in everyday life or in academic research, can be rationally justified. Is there one universal system of norms, by which all sorts of arguments in all sorts of fields must be judged, or must each sort of argument be judged according to its own norms? In The Uses (...)
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  • (1 other version)The Uses of Argument.Stephen E. Toulmin - 1958 - Philosophy 34 (130):244-245.
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  • Engineering ethics: concepts and cases.Charles Edwin Harris, Michael S. Pritchard & Michael Jerome Rabins - 2009 - Boston, MA: Cengage. Edited by Michael S. Pritchard, Ray W. James, Elaine E. Englehardt & Michael J. Rabins.
    Packed with examples pulled straight from recent headlines, ENGINEERING ETHICS, Sixth Edition, helps engineers understand the importance of their conduct as professionals as well as reflect on how their actions can affect the health, safety and welfare of the public and the environment. Numerous case studies give readers plenty of hands-on experience grappling with modern-day ethical dilemmas, while the book's proven and structured method for analysis walks readers step by step through ethical problem-solving techniques. It also offers practical application of (...)
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  • Toulmin’s Model and the Solving of Ill-Structured Problems.James F. Voss - 2005 - Argumentation 19 (3):321-329.
    Toulmin’s (1958) model of argument was employed in the analysis of verbal protocols obtained during the solving of ill-structured problems. The participants were experts in the domain under study. For the analysis the Toulmin model was extended in order to enable description of lines of argument found in protocols as long as 10 paragraphs. Results included: (1) That while the protocol was comprised of a large number of specific arguments, the analysis provided for tracing a solver’s line of argument. (2) (...)
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  • Araucaria as a Tool for Diagramming Arguments in Teaching and Studying Philosophy .F. Macagno, D. Walton, G. Rowe & C. Reed - 2006 - Teaching Philosophy 29 (2):111-124,.
    This paper explains how to use a new software tool for argument diagramming available free on the Internet, showing especially how it can be used in the classroom to enhance critical thinking in philosophy. The user loads a text file containing an argument into a box on the computer interface, and then creates an argument diagram by dragging lines from one node to another. A key feature is the support for argumentation schemes, common patterns of defeasible reasoning historically know as (...)
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  • Using Argument Diagramming Software to Teach Critical Thinking Skills.Maralee Harrell - 2007 - Proceedings of the 5th International Conference on Education and Information Systems, Technologies and Applications 5.
    There is substantial evidence from many domains that visual representations aid various forms of cognition. We aimed to determine whether visual representations of argument structure enhanced the acquisition and development of critical thinking skills within the context of an introductory philosophy course. We found a significant effect of the use of argument diagrams, and this effect was stable even when multiple plausible correlates were controlled for. These results suggest that natural and relatively minor modifications to standard critical thinking courses could (...)
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  • Coherence, hypothetical cases, and precedent.S. L. Hurley - 2006 - In Scott Hershovitz (ed.), Exploring law's empire: the jurisprudence of Ronald Dworkin. New York: Oxford University Press. pp. 221-251.
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  • Argumentation schemes for presumptive reasoning.Douglas N. Walton - 1996 - Mahwah, N.J.: L. Erlbaum Associates.
    This book identifies 25 argumentation schemes for presumptive reasoning and matches a set of critical questions to each.
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  • Argument maps improve critical thinking.Charles Twardy - 2004 - Teaching Philosophy 27 (2):95--116.
    Computer-based argument mapping greatly enhances student critical thinking, more than tripling absolute gains made by other methods. I describe the method and my experience as an outsider. Argument mapping often showed precisely how students were erring (for example: confusing helping premises for separate reasons), making it much easier for them to fix their errors.
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  • Proofs and refutations (IV).I. Lakatos - 1963 - British Journal for the Philosophy of Science 14 (56):296-342.
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  • (1 other version)Proofs and Refutations.Imre Lakatos - 1980 - Noûs 14 (3):474-478.
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  • An Introduction to Legal Reasoning. [REVIEW]E. N. G. - 1951 - Journal of Philosophy 48 (5):167-168.
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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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  • 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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  • Legal Argumentation and Evidence.Douglas N. Walton - 2002 - Pennsylvania State University Press.
    A leading expert in informal logic, Douglas Walton turns his attention in this new book to how reasoning operates in trials and other legal contexts, with special emphasis on the law of evidence. The new model he develops, drawing on methods of argumentation theory that are gaining wide acceptance in computing fields like artificial intelligence, can be used to identify, analyze, and evaluate specific types of legal argument. In contrast with approaches that rely on deductive and inductive logic and rule (...)
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  • Interpreting Precedents: A Comparative Study.D. Neil MacCormick & Robert S. Summers - 1997 - Routledge.
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  • Artificial argument assistants for defeasible argumentation.Bart Verheij - 2003 - Artificial Intelligence 150 (1-2):291-324.
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