The Dynamics of Judicial Proof

1. Front Matter

   Pages i-ix

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2. Introduction

   1. Front Matter

      Pages 1-1

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   2. Making Sense of the Process of Proof in Litigation

      • Peter Tillers

      Pages 3-17

3. Common Sense Reasoning

   1. Front Matter

      Pages 19-19

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   2. Artificial Intelligence, Mindreading, and Reasoning in Law

      • John A. Barnden, Donald M. Peterson

      Pages 21-41

   3. Common Sense, Rationality and the Legal Process

      • Ronald J. Allen

      Pages 43-54

   4. What Is “Common” about Common Sense? Cautionary Tales for Travelers Crossing Disciplinary Boundaries

      • Marilyn Maccrimmon

      Pages 55-78

4. Fuzzy and Rough Logic

   1. Front Matter

      Pages 79-79

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   2. From Computing with Numbers to Computing with Words: From Manipulation of Measurements to Manipulation of Perceptions

      • Lotfi A. Zadeh

      Pages 81-117

   3. Fuzzy Logic and Its Application to Legal Reasoning — A Comment to Professor Zadeh

      • Ron A. Shapira

      Pages 119-133

   4. A Primer on Rough Sets: A New Approach to Drawing Conclusions from Data

      • Zdzislaw Pawlak

      Pages 135-142

5. The Structure of Factual Inference in Judicial Settings

   1. Front Matter

      Pages 143-143

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   2. Alternative Views of Argument Construction from a Mass of Evidence

      • David A. Schum

      Pages 145-178

   3. Explaining Relevance

      • Paolo Garbolino

      Pages 179-195

   4. Theories of Uncertainty: Explaining the Possible Sources of Error in Inferences

      • Vern R. Walker

      Pages 197-236

   5. Models of Data Generation vs. Models of Events that Generate Data

      • Ward Edwards

      Pages 237-239

6. Dynamic Inference and Choice in Dynamic Environments

   1. Front Matter

      Pages 241-241

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   2. Action and Procedure in Reasoning

      • Johan van Benthem

      Pages 243-259

   3. Decision Analysis and Law

      • Ronald A. Howard

      Pages 261-269

7. Abductive Inference

   1. Front Matter

      Pages 271-271

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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

• Faculty of Law, University of British Columbia, Vancouver, Canada

  Marilyn MacCrimmon

• Cardozo School of Law, Yeshiva University, New York, USA

  Peter Tillers

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