The Dynamics of Judicial Proof

Computation, Logic, and Common Sense

  • Marilyn MacCrimmon
  • Peter Tillers

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 94)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Introduction

    1. Front Matter
      Pages 1-1
  3. Common Sense Reasoning

  4. Fuzzy and Rough Logic

  5. The Structure of Factual Inference in Judicial Settings

  6. Dynamic Inference and Choice in Dynamic Environments

    1. Front Matter
      Pages 241-241
    2. Johan van Benthem
      Pages 243-259
    3. Ronald A. Howard
      Pages 261-269
  7. Abductive Inference

  8. From Theory to Practice: “Intelligent” Procedures for Drawing Inferences Static and Dynamic Legal Environments

  9. Judicial Proof and Economic Rationality

    1. Front Matter
      Pages 417-418
    2. Ron A. Shapira
      Pages 419-435
  10. Causality

    1. Front Matter
      Pages 455-455
    2. Glenn Shafer
      Pages 457-478

About this book


Fact finding in judicial proceedings is a dynamic process. This collection of papers considers whether computational methods or other formal logical methods developed in disciplines such as artificial intelligence, decision theory, and probability theory can facilitate the study and management of dynamic evidentiary and inferential processes in litigation. The papers gathered here have several epicenters, including (i) the dynamics of judicial proof, (ii) the relationship between artificial intelligence or formal analysis and "common sense," (iii) the logic of factual inference, including (a) the relationship between causality and inference and (b) the relationship between language and factual inference, (iv) the logic of discovery, including the role of abduction and serendipity in the process of investigation and proof of factual matters, and (v) the relationship between decision and inference.


Argumentation Artificial Intelligence Fuzzy Judicial Proof Legal Reasoning Philosophy of Law Probability Theory abductive reasoning decision theory formal logic fuzzy logic intelligence perception proof uncertainty

Editors and affiliations

  • Marilyn MacCrimmon
    • 1
  • Peter Tillers
    • 2
  1. 1.Faculty of LawUniversity of British ColumbiaVancouverCanada
  2. 2.Cardozo School of LawYeshiva UniversityNew YorkUSA

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-00323-7
  • Online ISBN 978-3-7908-1792-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site