Witness testimony evidence [electronic resource] : argumentation, artificial intelligence, and law / Douglas Walton.

By: Material type: TextTextLanguage: English Publication details: Cambridge ; New York : Cambridge University Press, 2008.Description: 1 online resource (385 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9786611146405
  • 0511367171
  • 1281146404
  • 0511366558
  • 0511365926
  • 0511574193
  • 0511619537
  • 0511367767
Subject(s): Genre/Form: Additional physical formats: No title; No titleDDC classification:
  • 347 347.066
LOC classification:
  • K213 .W355 2008
Online resources:
Contents:
Cover; Half-title; Title; Copyright; Dedication; Contents; Introduction; List of Figures and Tables; Acknowledgments; 1 Witness Testimony as Argumentation; 2 Plausible Reasoning in Legal Argumentation; 3 Scripts, Stories, and Anchored Narratives; 4 Computational Dialectics; 5 Witness Examination as Peirastic Dialogue; 6 Applying Dialectical Models to the Trial; 7 Supporting and Attacking Witness Testimony; Bibliography; Index
Summary: 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.
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Holdings
Item type Current library Collection Call number URL Status Date due Barcode Item holds
e-book e-book KNCHR Library SharePoint Non-Fiction K213 .W355 2008 (Browse shelf(Opens below)) Link to resource Available
Total holds: 0

Description based upon print version of record.

Includes bibliographical references (p. 339-351) and index.

Cover; Half-title; Title; Copyright; Dedication; Contents; Introduction; List of Figures and Tables; Acknowledgments; 1 Witness Testimony as Argumentation; 2 Plausible Reasoning in Legal Argumentation; 3 Scripts, Stories, and Anchored Narratives; 4 Computational Dialectics; 5 Witness Examination as Peirastic Dialogue; 6 Applying Dialectical Models to the Trial; 7 Supporting and Attacking Witness Testimony; Bibliography; Index

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.

English

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