Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process.
Testimonial evidence remains the greatest source of information available to those who try cases in court.Witness Testimony: Psychological, Investigative, and Evidential Perspectives provides a...
The assessment and improvement of eyewitness testimony of children is the topic of this volume. The first section examines factors that contribute to the reliability and accuracy of testimony,...
Based on the author's more than 35 years of experience as a successful expert witness, this revised and expanded edition of Expert Witnessing and Scientific Testimony: A Guidebook demonstrates how to...