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Reasoning with Rules and Precedents

A Computational Model of Legal Analysis

  • L. Karl Branting

Table of contents

  1. Front Matter
    Pages i-xiii
  2. L. Karl Branting
    Pages 1-8
  3. L. Karl Branting
    Pages 27-62
  4. L. Karl Branting
    Pages 111-134
  5. L. Karl Branting
    Pages 135-144
  6. L. Karl Branting
    Pages 145-156
  7. L. Karl Branting
    Pages 157-170
  8. Back Matter
    Pages 171-219

About this book

Introduction

Few areas of human expertise are so well understood that they can be completely reduced to general principles. Similarly, there are few domains in which experience is so extensive that every new problem precisely matches a previous problem whose solution is known. When neither rules nor examples are individually sufficient, problem-solving expertise depends on integrating both. This book presents a computational framework for the integration of rules and cases for analytic tasks typified by legal analysis. The book uses the framework for integrating cases and rules as a basis for a new model of legal precedents. This model explains how the theory under which a case is decided controls the case's precedential effect. The framework for integrating rules and cases is implemented in GREBE, a system for legal analysis. The book presents techniques for representing, indexing, and comparing complex cases and for converting justification structures based on rules and case into natural-language text.
This book will interest researchers in artificial intelligence, particularly those involved in case-based reasoning, artificial intelligence and law, and formal models of argumentation, and to scholars in legal philosophy, jurisprudence, and analogical reasoning.

Keywords

argumentation artificial intelligence case-based reasoning control intelligence jurisprudence law logical reasoning philosophy will

Authors and affiliations

  • L. Karl Branting
    • 1
  1. 1.Department of Computer ScienceUniversity of WyomingLaramieUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-2848-5
  • Copyright Information Springer Science+Business Media B.V. 2000
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5374-9
  • Online ISBN 978-94-017-2848-5
  • Buy this book on publisher's site
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