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Argumentation Methods for Artificial Intelligence in Law

Author: Douglas Walton

Publisher: Springer Science & Business Media

Published: 2005-09-30

Total Pages: 283

ISBN-13: 3540278818

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 of evidence are introduced.

Argumentation Methods for Artificial Intelligence in Law

Author: Douglas Walton

Publisher: Springer Science & Business Media

Published: 2005-06-30

Total Pages: 292

ISBN-13: 9783540251873

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Witness Testimony Evidence

Author:

Publisher:

Published: 2008

Total Pages: 365

ISBN-13: 9780511367175

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Logical Models of Legal Argumentation

Author: H. Prakken

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 215

ISBN-13: 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.

Legal Argumentation and Evidence

Author: Douglas Walton

Publisher: Penn State Press

Published: 2010-11-01

Total Pages: 400

ISBN-13: 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.

Modeling Legal Argument

Author: Kevin D. Ashley

Publisher: MIT Press (MA)

Published: 1990

Total Pages: 360

ISBN-13:

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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.

Computer Applications for Handling Legal Evidence, Police Investigation and Case Argumentation

Author: Ephraim Nissan

Publisher: Springer Science & Business Media

Published: 2012-06-15

Total Pages: 1375

ISBN-13: 904818990X

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This book provides an overview of computer techniques and tools — especially from artificial intelligence (AI) — for handling legal evidence, police intelligence, crime analysis or detection, and forensic testing, with a sustained discussion of methods for the modelling of reasoning and forming an opinion about the evidence, methods for the modelling of argumentation, and computational approaches to dealing with legal, or any, narratives. By the 2000s, the modelling of reasoning on legal evidence has emerged as a significant area within the well-established field of AI & Law. An overview such as this one has never been attempted before. It offers a panoramic view of topics, techniques and tools. It is more than a survey, as topic after topic, the reader can get a closer view of approaches and techniques. One aim is to introduce practitioners of AI to the modelling legal evidence. Another aim is to introduce legal professionals, as well as the more technically oriented among law enforcement professionals, or researchers in police science, to information technology resources from which their own respective field stands to benefit. Computer scientists must not blunder into design choices resulting in tools objectionable for legal professionals, so it is important to be aware of ongoing controversies. A survey is provided of argumentation tools or methods for reasoning about the evidence. Another class of tools considered here is intended to assist in organisational aspects of managing of the evidence. Moreover, tools appropriate for crime detection, intelligence, and investigation include tools based on link analysis and data mining. Concepts and techniques are introduced, along with case studies. So are areas in the forensic sciences. Special chapters are devoted to VIRTOPSY (a procedure for legal medicine) and FLINTS (a tool for the police). This is both an introductory book (possibly a textbook), and a reference for specialists from various quarters.

Approaches to Legal Rationality

Author: Dov M. Gabbay

Publisher: Springer Science & Business Media

Published: 2010-10-04

Total Pages: 419

ISBN-13: 9048195888

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Legal theory, political sciences, sociology, philosophy, logic, artificial intelligence: there are many approaches to legal argumentation. Each of them provides specific insights into highly complex phenomena. Different disciplines, but also different traditions in disciplines (e.g. analytical and continental traditions in philosophy) find here a rare occasion to meet. The present book contains contributions, both historical and thematic, from leading researchers in several of the most important approaches to legal rationality. One of the main issues is the relation between logic and law: the way logic is actually used in law, but also the way logic can make law explicit. An outstanding group of philosophers, logicians and jurists try to meet this issue. The book is more than a collection of papers. However different their respective conceptual tools may be, the authors share a common conception: legal argumentation is a specific argumentation context.

Argument Evaluation and Evidence

Author: Douglas Walton

Publisher: Springer

Published: 2015-08-04

Total Pages: 297

ISBN-13: 331919626X

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This monograph poses a series of key problems of evidential reasoning and argumentation. It then offers solutions achieved by applying recently developed computational models of argumentation made available in artificial intelligence. Each problem is posed in such a way that the solution is easily understood. The book progresses from confronting these problems and offering solutions to them, building a useful general method for evaluating arguments along the way. It provides a hands-on survey explaining to the reader how to use current argumentation methods and concepts that are increasingly being implemented in more precise ways for the application of software tools in computational argumentation systems. It shows how the use of these tools and methods requires a new approach to the concepts of knowledge and explanation suitable for diverse settings, such as issues of public safety and health, debate, legal argumentation, forensic evidence, science education, and the use of expert opinion evidence in personal and public deliberations.

DiaLaw

Author: A.R. Lodder

Publisher: Springer Science & Business Media

Published: 2013-12-01

Total Pages: 207

ISBN-13: 9401139571

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This book is a revised version of my dissertation 'DiaLaw - on legal th justification and dialog games' that I defended on June 5 1998 at the Universiteit Maastricht. The chapters 1, 4 & 5 (now: 1, 5 & 6) of my dissertation have remained largely unaltered. In chapter 2 I added explicitly the distinction between constructing legal justification and reconstructing it, and tried to elucidate the differences (and similarities) between the product and process of justification. Chapter 3 is divided into two chapters: one on the general characteristics of DiaLaw (now: chapter 3), and the other on specific, legal characteristics of DiaLaw (now: chapter 4). In order to improve readability, all rules in these chapters have been rewritten considerably. The section on the implementation of DiaLaw is moved to the appendix. In chapter 7 (the former chapter 6), a discussion of the notions 'procedural' and 'structural' arguments is added, and different layers in argumentation models are discussed. Finally, in chapter 8 (the former chapter 7) is added a recapitulation of my view on legal justification, and a discussion on the future use in legal practice of dialog models that represent argumentation in a natural way. The main thesis has remained unaltered: legal justification should be modeled as a procedural, dialogical model in which not only products of argumentation are allowed, but, even in formal models, rhetorical, psychological aspects of argument are dealt with.