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Modeling Legal Argument

Modeling Legal Argument
Author: Kevin D. Ashley
Publisher: MIT Press (MA)
Total Pages: 360
Release: 1990
Genre: Computers
ISBN:

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"Modeling Legal Argument "provides a comprehensive treatment of case-based reasoning and a detailed description of a computer program called Hypo, that models the way attorneys argue with cases, real and hypothetical. The program offers significant advantages over "keyword" case retrieval systems in the legal field and demonstrates how to design expert systems that assist the user by presenting reasonable alternative answers on all sides of an issue and by citing case examples to explain their advice.Hypo analyzes problem situations dealing with trade secrets disputes, retrieves relevant legal cases from its database and fashions them into reasonable legal arguments about who should win. The arguments demonstrate the program's ability to reason symbolically with past cases, to draw factual analogies between cases, to cite them in arguments, to distinguish them, and to pose counter-examples and hypotheticals based on past cases."Modeling Legal Argument "discusses the law as a paradigm of case-based argument, introduces Hypo and its adversarial reasoning process, provides an overview of the Hypo program, and gives extended examples of the model's reasoning capabilities. It describes the case knowledge base, a dimensional index, basic mechanisms of case-based reasoning, and offers a theory of case-based argument in Hypo. Ashley evaluates Hypo's performance and takes up adversarial case-based reasoning beyond the law and extensions of the Hypo model.Kevin D. Ashley is a Research Scientist at the Learning Research an Development Center and Assistant Professor of Law at the University of Pittsburgh. "Modeling Legal Argument is "included in the Artificial Intelligence and Legal Reasoning series, edited by L. Thorne McCarty and Edwina L. Rissland.


Logical Tools for Modelling Legal Argument

Logical Tools for Modelling Legal Argument
Author: H. Prakken
Publisher: Springer Science & Business Media
Total Pages: 319
Release: 2013-04-17
Genre: Philosophy
ISBN: 9401589755

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This book is a revised and extended version of my PhD Thesis 'Logical Tools for Modelling Legal Argument', which I defended on 14 January 1993 at the Free University Amsterdam. The first five chapters of the thesis have remained almost completely unchanged but the other chapters have undergone considerable revision and expansion. Most importantly, I have replaced the formal argument-based system of the old Chapters 6, 7 and 8 with a revised and extended system, whieh I have developed during the last three years in collaboration with Giovanni Sartor. Apart from some technical improvements, the main additions to the old system are the enriehment of its language with a nonprovability operator, and the ability to formalise reasoning about preference criteria. Moreover, the new system has a very intuitive dialectieal form, as opposed to the rather unintuitive fixed-point appearance of the old system. Another important revision is the split of the old Chapter 9 into two new chapters. The old Section 9. 1 on related research has been updated and expanded into a whole chapter, while the rest of the old chapter is now in revised form in Chapter 10. This chapter also contains two new contributions, a detailed discussion of Gordon's Pleadings Game, and a general description of a multi-Iayered overall view on the structure of argu mentation, comprising a logieal, dialectical, procedural and strategie layer. Finally, in the revised conclusion I have paid more attention to the relevance of my investigations for legal philosophy and argumentation theory.


Logical Tools for Modelling Legal Argument

Logical Tools for Modelling Legal Argument
Author: Henry Prakken
Publisher: Springer
Total Pages: 342
Release: 1997-10-31
Genre: Computers
ISBN:

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This book, the expanded and completely revised text of the author's renowned 1993 dissertation, studies the logical aspects of legal reasoning, in order to provide philosophical foundations for legal applications of Artificial Intelligence. It respects that legal reasoning often takes place in a disputational setting, and observes that the law leaves ample room for disagreement, which means that lawyers reason under the possibility of exceptions and with contradictory legal sources, and cannot do without non-deductive reasoning forms, such as analogical reasoning. The study shows that, contrary to what is often said, these features do not escape a logical analysis if recent developments in logic and Artificial Intelligence on so-called non-monotonic reasoning and defeasible argumentation are used, and if logic is regarded as a tool in, rather than as, a model of legal argument. This book is relevant for scholars in legal philosophy, artificial intelligence, logic and argumentation theory, and can also serve as a textbook for graduate courses in AI & Law, non-monotonic reasoning and legal argumentation.


Logical Models of Legal Argumentation

Logical Models of Legal Argumentation
Author: H. Prakken
Publisher: Springer Science & Business Media
Total Pages: 215
Release: 2012-12-06
Genre: Law
ISBN: 9401156689

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In the study of forms of legal reasoning, logic and argumentation theory long followed separate tracks. `Legal logicians' tended to focus on a deductive reconstruction of justifying a decision, disregarding the dialectical process leading to the chosen justification. Others instead emphasized the adversarial and discretionary nature of legal reasoning, involving reasonable evaluation of alternative choices, and the use of analogical reasoning. Recently, however, developments in Artificial Intelligence and Law have paved the way for overcoming this separation. Logic has widened its scope to defensible argumentation, and informal accounts of analogy and dialectics have inspired the construction of computer programs. Thus the prospect is emerging of an integrated logical and dialectical account of legal argument, adding to the understanding of legal reasoning, and providing a formal basis for computer tools that assist and mediate legal debates while leaving room for human initiative. This book presents contributions to this development. From a logical point of view it covers topics such as evaluating conflicting arguments, weighing reasons, modelling legal disputes as a dialogue game, the role of the burden of proof, the relation between principles, rules, reasons and facts, and the relation between deductive and nondeductive arguments. Written by leading scholars in the field and building on recent developments in logic and Artificial Intelligence, the chapters provide a state-of-the-art account of research on the logical aspects of legal argument.


Scientific Models of Legal Reasoning

Scientific Models of Legal Reasoning
Author: Scott Brewer
Publisher: Routledge
Total Pages: 424
Release: 2013-10-28
Genre: Philosophy
ISBN: 1136524835

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First published in 1998. This five-volume series contains some of this century's most influential or thought provoking articles on the subject of legal argument that have appeared in Anglo-American philosophy journals and law reviews. This volume offers a collection of essays by philosophers and legal scholars on economics, artificial intelligence and the physical sciences.


Computational Models of Argument

Computational Models of Argument
Author: H. Prakken
Publisher: IOS Press
Total Pages: 498
Release: 2020-09-25
Genre: Computers
ISBN: 1643681079

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The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.


Artificial Intelligence and Legal Analytics

Artificial Intelligence and Legal Analytics
Author: Kevin D. Ashley
Publisher: Cambridge University Press
Total Pages: 451
Release: 2017-07-10
Genre: Law
ISBN: 1107171504

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This book describes how text analytics and computational models of legal reasoning will improve legal IR and let computers help humans solve legal problems.


Moral Theory and Legal Reasoning

Moral Theory and Legal Reasoning
Author: Scott Brewer
Publisher: Taylor & Francis
Total Pages: 404
Release: 1998
Genre: Judicial process
ISBN: 9780815326571

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Legal Argumentation and Evidence

Legal Argumentation and Evidence
Author: Douglas Walton
Publisher: Penn State Press
Total Pages: 400
Release: 2010-11-01
Genre: Law
ISBN: 9780271048338

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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 out many common types of argument as fallacious, Walton&’s aim is to provide a more expansive view of what can be considered &"reasonable&" in legal argument when it is construed as a dynamic, rule-governed, and goal-directed conversation. This dialogical model gives new meaning to the key notions of relevance and probative weight, with the latter analyzed in terms of pragmatic criteria for what constitutes plausible evidence rather than truth.