Argumentation methods for artificial intelligence in law / Douglas Walton.
By: Walton, Douglas N.Material type: TextSeries: Springer.Publisher: Berlin ; New York : Springer, c2005Description: 1 online resource (xviii, 270 p.) : ill.ISBN: 3540251871 (alk. paper); 9783540251873 (alk. paper); 3540278818 (electronic bk.); 9783540278818 (electronic bk.); 9786610235025; 6610235023.Subject(s): Law -- Methodology -- Automation | Information storage and retrieval systems -- Law | Evidence (Law) -- Automation | Artificial intelligence | Expert systems (Computer science)Additional physical formats: Print version:: Argumentation methods for artificial intelligence in law.LOC classification: K213 | .W35 2005Online resources: Click here to view this ebook.
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Includes bibliographical references (p. -259) and index.
"Use of argumentation methods applied to legal reasoning is a relatively new field of study. Many vitally important problems of legal reasoning can be profitably studied in light of these new methods, even if they cannot all be solved in any single monograph. This book provides a survey of the leading problems, and outlines how future research using argumentation-based methods show great promise of leading to useful solutions. The problems studied include not only those of argument evaluation and argument invention, but also analysis of specific kinds of evidence commonly used in law, like witness testimony, circumstantial evidence, forensic evidence and character evidence. New tools for analyzing these kinds of evidence are introduced, like argument diagramming, abductive reasoning, an analysis of conditional relevance and a new dialectical model of explanation."--Jacket.
Ch. 1. Informal logic methods for law -- Ch. 2. Generalizations in legal reasoning -- Ch. 3. Defeasible reasoning in dialogue systems -- Ch. 4. Relevance determinations of legal evidence -- Ch. 5. Methods applied to problems of evidence -- Ch. 6. Dialectical explanation in AI -- Ch. 7. Argument invention for proof preparation.
Description based on print version record.